Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020
Una de las enfermedades con mayor extensión en términos de territorios y frecuencia en cuanto al número de casos en los últimos años el mundo es el dengue, además es catalogada como una de las patologías transmisibles con mayor magnitud e importancia a nivel mundial tanto por la carga en salud como...
- Autores:
-
Moreno Lopez, Sergio Mauricio
Peñaranda Sanjuan, Augusto
- Tipo de recurso:
- https://purl.org/coar/resource_type/c_db06
- Fecha de publicación:
- 2021
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- eng
spa
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/13971
- Acceso en línea:
- https://hdl.handle.net/20.500.12495/13971
- Palabra clave:
- Dengue
Vulnerabilidad
Índice compuesto
Clima
Condiciones sociodemograficas
GAM
Dengue fever
Vulnerability
Composite index
Climate
Socio-demographic conditions
GAM
WA 100
- Rights
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
id |
UNBOSQUE2_4da1bbf0401664efcd19a93f2e2d26db |
---|---|
oai_identifier_str |
oai:repositorio.unbosque.edu.co:20.500.12495/13971 |
network_acronym_str |
UNBOSQUE2 |
network_name_str |
Repositorio U. El Bosque |
repository_id_str |
|
dc.title.none.fl_str_mv |
Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020 |
dc.title.translated.none.fl_str_mv |
Impact of economic, social, climate and inequality vulnerabilities on the frequency of dengue in Colombia between 2015 and 2020 |
title |
Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020 |
spellingShingle |
Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020 Dengue Vulnerabilidad Índice compuesto Clima Condiciones sociodemograficas GAM Dengue fever Vulnerability Composite index Climate Socio-demographic conditions GAM WA 100 |
title_short |
Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020 |
title_full |
Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020 |
title_fullStr |
Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020 |
title_full_unstemmed |
Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020 |
title_sort |
Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020 |
dc.creator.fl_str_mv |
Moreno Lopez, Sergio Mauricio Peñaranda Sanjuan, Augusto |
dc.contributor.advisor.none.fl_str_mv |
Peñaranda Sanjuan, Augusto |
dc.contributor.author.none.fl_str_mv |
Moreno Lopez, Sergio Mauricio Peñaranda Sanjuan, Augusto |
dc.contributor.orcid.none.fl_str_mv |
Moreno Lopez, Sergio Mauricio [0000-0002-3043-0963] Peñaranda Sanjuan, Augusto [0000-0003-1598-8472] |
dc.subject.none.fl_str_mv |
Dengue Vulnerabilidad Índice compuesto Clima Condiciones sociodemograficas GAM |
topic |
Dengue Vulnerabilidad Índice compuesto Clima Condiciones sociodemograficas GAM Dengue fever Vulnerability Composite index Climate Socio-demographic conditions GAM WA 100 |
dc.subject.keywords.none.fl_str_mv |
Dengue fever Vulnerability Composite index Climate Socio-demographic conditions GAM |
dc.subject.nlm.spa.fl_str_mv |
WA 100 |
description |
Una de las enfermedades con mayor extensión en términos de territorios y frecuencia en cuanto al número de casos en los últimos años el mundo es el dengue, además es catalogada como una de las patologías transmisibles con mayor magnitud e importancia a nivel mundial tanto por la carga en salud como por el impacto económico que produce (Villar et al., 2015). Esta enfermedad presenta un estimado de infecciones de aproximadamente 390 millones de personas al año, de los 194 países que hay actualmente en el mundo, 128 son catalogados como lugares endémicos de la enfermedad (Bhatt et al., 2013). La literatura actual habla del efecto de diversas vulnerabilidades sociales, climáticas y gubernamentales que giran en torno a la dinámica del dengue, exacerbando la presencia de la enfermedad en muchos territorios a nivel mundial (Filho et al., 2019; Stewart-Ibarra, 2012; Tipayamongkholgu & Lisakulruk, 2011; Udayanga & Gunathilaka, 2020). Dado lo anterior, el aumento en el número de casos de esta enfermedad representa un rubro importantes para el sector salud tanto por las campañas para el control y mitigación del vector, como por la atención de la enfermedad a nivel nacional, dado que tanto el dengue como el dengue grave hacen presencia en muchas zonas de Colombia. Con el aumento en la incidencia del dengue y sus costos en términos monetarios y de calidad de vida se motiva la realización de este estudio, que busca establecer la influencia de las vulnerabilidades sociales, económicas, climáticas y a nivel municipal y departamental y regional en la evolución del dengue en el periodo de enero de 2015 a diciembre de 2020. Esta investigación busca exponer nuevas perspectivas en cuanto a los posibles agentes relacionados con la ocurrencia del dengue en el país y áreas con características similar en términos socioeconómicos, de clima y desigualdad. Finalmente, este estudio ayudará a contribuir en las áreas de conocimiento, como cambio climático, equidad, gestión del riesgo y salud, con el objetivo de traer recomendaciones para los tomadores de decisiones en cuanto a la priorización de recursos y la identificación de territorios más vulnerables a esta condición. Dentro de las razones que explican la relevancia de este estudio están: • El dengue es una enfermedad que ha registrado un aumento en su prevalencia tanto en Colombia como internacionalmente en los últimos años. Aunque en Colombia cuenta con estudios que han evaluado el efecto de las vulnerabilidades ambientales y sociales en salud, es importante identificar la influencia conjunta de las condiciones climáticas, socioeconómicas, de gobernanza y de inequidad en la aparición de esta condición en Colombia en la frecuencia de dengue en Colombia y así establecer una caracterización del fenómeno más cercana a la realidad teniendo en cuenta las interacciones presentes entre las dimensiones climáticas, ambientales, sociales, económicas y de equidad, con fines de identificar las vulnerabilidades que puedan ser atendidas de manera más eficiente. • El estudio permitiría esbozar la influencia de las vulnerabilidades mencionadas que afectan la frecuencia de dengue y realizar en este ejercicio académico un mapa de riesgo a nivel municipal y departamental dadas estas vulnerabilidades de la población en nuestro medio que busquen frenar el avance del dengue en Colombia. • Este estudio permitirá generar información que posteriormente pueda generar un abordaje adecuado de prevención y consejería para los tomadores de decisiones y así conocer los territorios con mayor riesgo de adquirir esta enfermedad en el contexto colombiano dada las vulnerabilidades presentes. |
publishDate |
2021 |
dc.date.issued.none.fl_str_mv |
2021-04 |
dc.date.accessioned.none.fl_str_mv |
2025-02-14T21:53:36Z |
dc.date.available.none.fl_str_mv |
2025-02-14T21:53:36Z |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_db06 |
dc.type.local.spa.fl_str_mv |
Tesis/Trabajo de grado - Monografía - Doctorado |
dc.type.coar.none.fl_str_mv |
https://purl.org/coar/resource_type/c_db06 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
dc.type.coarversion.none.fl_str_mv |
https://purl.org/coar/version/c_ab4af688f83e57aa |
format |
https://purl.org/coar/resource_type/c_db06 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12495/13971 |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad El Bosque |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Universidad El Bosque |
dc.identifier.repourl.none.fl_str_mv |
repourl:https://repositorio.unbosque.edu.co |
url |
https://hdl.handle.net/20.500.12495/13971 |
identifier_str_mv |
instname:Universidad El Bosque reponame:Repositorio Institucional Universidad El Bosque repourl:https://repositorio.unbosque.edu.co |
dc.language.iso.fl_str_mv |
eng spa |
language |
eng spa |
dc.relation.references.none.fl_str_mv |
Abdul Wahid, N. A., Suhaila, J., & Rahman, H. A. (2021). Effect of climate factors on the incidence of hand, foot, and mouth disease in Malaysia: A generalized additive mixed model. Infectious Disease Modelling, 6, 997–1008. https://doi.org/10.1016/j.idm.2021.08.003 Acevedo, N., Waggoner, J., Rodriguez, M., Rivera, L., Landivar, J., Pinsky, B., & Zambrano, H. (2017). Zika Virus, Chikungunya Virus, and Dengue Virus in Cerebrospinal Fluid from Adults with Neurological Manifestations, Guayaquil, Ecuador. Frontiers in Microbiology, 8. https://doi.org/10.3389/fmicb.2017.00042 Akter, R., Hu, W., Naish, S., Banu, S., & Tong, S. (2017). Joint effects of climate variability and socioecological factors on dengue transmission: epidemiological evidence. Tropical Medicine and International Health, 22(6), 656–669. https://doi.org/10.1111/tmi.12868 Akter, R., Naish, S., Gatton, M., Bambrick, H., Hu, W., & Tong, S. (2019). Spatial and temporal analysis of dengue infections in Queensland, Australia: Recent trend and perspectives. PLoS ONE, 14(7). https://doi.org/10.1371/journal.pone.0220134 Almiron, W. R., Gurtler, R. E., Coto, H., Eiman, M., & Victoria, M. (2009). Protocolo de acciones de control de Aedes aegypti. 1–60. Alto, B. W., & Bettinardi, D. (2013). Temperature and dengue virus infection in mosquitoes: Independent effects on the immature and adult stages. American Journal of Tropical Medicine and Hygiene, 88(3), 497–505. https://doi.org/10.4269/ajtmh.12-0421 Anbarci, N., Escaleras, M., & Register, C. A. (2009). The ill effects of public sector corruption in the water and sanitation sector. Land Economics, 85(2), 363–377. https://doi.org/10.3368/le.85.2.363 Anguiano M, Aguayo L, Álvarez L, Torres O, L. E. (2011). Estrategia estatal de combate al dengue en Colima. Medicina Interna de México, 27(2), 131–140. Ann, H., & Swedlund, A. C. (2004). Plagues and Epidemics: Infected Spaces Past and Present. Araujo González, R. (2015). Vulnerabilidad y riesgo en salud: ¿dos conceptos concomitantes? Vulnerability and health risk: two concomitant concepts? Novedades En Población, 210(210), 89–96. Arredondo García, J. L., Méndez-Herrera, A., & Medina-Cortina, H. (2016). Arbovirus en Latinoamérica. Acta Pediatr Mex, 37(2), 111–131. Åström, C., Rocklöv, J., Hales, S., Béguin, A., Louis, V., & Sauerborn, R. (2012). Potential distribution of dengue fever under scenarios of climate change and economic development. EcoHealth, 9(4), 448–454. https://doi.org/10.1007/s10393-012-0808-0 Atique, S., Abdul, S. S., Hsu, C. Y., & Chuang, T. W. (2016a). Meteorological influences on dengue transmission in Pakistan. Asian Pacific Journal of Tropical Medicine, 9(10), 954–961. https://doi.org/10.1016/j.apjtm.2016.07.033 Atique, S., Abdul, S. S., Hsu, C. Y., & Chuang, T. W. (2016b). Meteorological influences on dengue transmission in Pakistan. Asian Pacific Journal of Tropical Medicine, 9(10), 954–961. https://doi.org/10.1016/j.apjtm.2016.07.033 Ballester, F., & Sunyer, J. (2000). Drinking water and gastrointestinal disease: Need of better understanding and an improvement in public health surveillance. Journal of Epidemiology and Community Health, 54(1), 3–5. https://doi.org/10.1136/jech.54.1.3 Banco de la República. (2022). Banco de la República. Banrep.Gov.Co. https://www.banrep.gov.co/es Baquero, O. S., Santana, L. M. R., & Chiaravalloti-Neto, F. (2018). Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models. PLoS ONE, 13(4). https://doi.org/10.1371/journal.pone.0195065 Barclay, E. (2008). Is climate change affecting dengue in the Americas? Lancet, 371(9617), 973–974. https://doi.org/10.1016/S0140-6736(08)60435-3 Bardach, A. E., García-Perdomo, H. A., Alcaraz, A., Tapia López, E., Gándara, R. A. R., Ruvinsky, S., & Ciapponi, A. (2019). Interventions for the control of Aedes aegypti in Latin America and the Caribbean: systematic review and meta-analysis. In Tropical Medicine and International Health. https://doi.org/10.1111/tmi.13217 Barrera, R., Delgado, N., Jimenez, M., Romero, I., & Villalobos, I. (2000). Estratificacion de una ciudad hiperendemica en dengue hemorragico. Revista Panamericana de Salud Publica/Pan American Journal of Public Health, 8(4), 225–233. Barrera, R., Navarro, J. C., Mora Rodriguez, J. D., Dominguez, D., & Gonzalez Garcia, J. E. (1995). Deficiencia en servicios publicos y cria de Aedes aegypti en Venezuela. Boletin - Oficina Sanitaria Panamericana, 118(5), 410–423. Bavia, L., Melanda, F. N., de Arruda, T. B., Mosimann, A. L. P., Silveira, G. F., Aoki, M. N., Kuczera, D., Sarzi, M. Lo, Junior, W. L. C., Conchon-Costa, I., Pavanelli, W. R., Duarte dos Santos, C. N., Barreto, R. C., & Bordignon, J. (2020). Epidemiological study on dengue in southern Brazil under the perspective of climate and poverty. Scientific Reports, 10(1), 1–16. https://doi.org/10.1038/s41598-020-58542-1 Berberiana, G., Rosanovaa, M. T., Berberian, G., & Rosanova, M. T. (2012). Impacto del cambio climático en las enfermedades infecciosas. Archivos Argentinos de Pediatria, 110(1), 39–45. https://doi.org/10.5546/aap.2012.39 Bhatt, S., Gething, P. W., Brady, O. J., Messina, J. P., Farlow, A. W., Moyes, C. L., Drake, J. M., Brownstein, J. S., Hoen, A. G., Sankoh, O., Myers, M. F., George, D. B., Jaenisch, T., Wint, G. R. W., Simmons, C. P., Scott, T. W., Farrar, J. J., Hay, S. I., William Wint, G. R., … Hay, S. I. (2013). The global distribution and burden of dengue. Nature, 496(7446), 504–507. https://doi.org/10.1038/nature12060 Bonifay, T., Douine, M., Bonnefoy, C., Hurpeau, B., Nacher, M., Djossou, F., & Epelboin, L. (2017). Poverty and Arbovirus Outbreaks: When Chikungunya Virus Hits More Precarious Populations Than Dengue Virus in French Guiana. Open Forum Infectious Diseases, 4(4). https://doi.org/10.1093/ofid/ofx247 Brady, O. J., Gething, P. W., Bhatt, S., Messina, J. P., Brownstein, J. S., Hoen, A. G., Moyes, C. L., Farlow, A. W., Scott, T. W., & Hay, S. I. (2012). Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus. PLoS Neglected Tropical Diseases, 6(8), e1760. https://doi.org/10.1371/journal.pntd.0001760 Braks, M. A. H., Honório, N. A., Lourenço-De-Oliveira, R., Juliano, S. A., & Lounibos, L. P. (2003). Convergent Habitat Segregation of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in Southeastern Brazil and Florida. Journal of Medical Entomology, 40(6), 785–794. https://doi.org/10.1603/0022-2585-40.6.785 Briguglio, L., Cordina, G., Farrugia, N., & Vella, S. (2009). Economic vulnerability and resilience: Concepts and measurements. Oxford Development Studies, 37(3), 229–247. https://doi.org/10.1080/13600810903089893 Cabezas, C., García, M. P., Valle, J., Yañez, P., Fachin, L., Sinti, C., & Mamani, E. (2015). Transmisión vertical del virus del dengue en el Perú. Rev Peru Med Exp Salud Pública, 32(1), 191–204. https://doi.org/10.1089/vbz.2008.0069.3. Cabrera, M., Leake, J., Naranjo-Torres, J., Valero, N., Cabrera, J. C., & Rodríguez-Morales, A. J. (2022). Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review. In Tropical Medicine and Infectious Disease (Vol. 7, Issue 10). MDPI. https://doi.org/10.3390/tropicalmed7100322 Cabrera, M., & Taylor, G. (2019). Modelling spatio-temporal data of dengue fever using generalized additive mixed models. Spatial and Spatio-Temporal Epidemiology, 28(2019), 1–13. https://doi.org/10.1016/j.sste.2018.11.006 Campos-Vargas, M., Toscana-Aparicio, A., & Campos Alanís, J. (2015). Riesgos socionaturales: vulnerabilidad socioeconómica, justicia ambiental y justicia espacial. Cuadernos de Geografía: Revista Colombiana de Geografía, 24(2), 53–69. https://doi.org/10.15446/rcdg.v24n2.50207 Canela Aguayo, M. (2007). Confusión e interacción (1): Qué son, qué suponen y cómo manejarlas en el análisis estratificado. Huelva: Fundación Andaluza Beturia Para La Investigación En Salud, 1, 1–8. Canela Aguayo, M., & Monge E, L. (2007). Confusión e interacción (2): su abordaje en el análisis multivariante. Huelva: Fundación Andaluza Beturia Para La Investigación En Salud, 2, 1–9. Casas, I., & Delmelle, E. (2019). Landscapes of healthcare utilization during a dengue fever outbreak in an urban environment of Colombia. Environmental Monitoring and Assessment, 191. https://doi.org/10.1007/s10661-019-7415-2 Castrillón J, Castaño J, U. S. (2015). Dengue en Colombia: diez años de evolución. Revista Chilena Infectología, 32(2), 142–149. Castro Durán, L. I., & Cano González, R. (2013). Pobreza y vulnerabilidad. Factores de riesgo en el proceso educativo. Contextos Educativos. Revista de Educación, 0(16), 55. https://doi.org/10.18172/con.1290 Center for Disease Control and Prevention. (2012). Life Cycle: Aedes aegypti. In Centers for Disease Control and Prevention. Center for Disease Control and Prevention. (2019). Dengue. https://www.cdc.gov/dengue/epidemiology/index.html Chang, A. Y., Fuller, D. O., Carrasquillo, O., & Beier, J. C. (2014). Social justice, climate change, and dengue. Health and Human Rights, 16(1), 93–104. Chien, L. C., & Yu, H. L. (2014). Impact of meteorological factors on the spatiotemporal patterns of dengue fever incidence. Environment International, 73, 46–56. https://doi.org/10.1016/j.envint.2014.06.018 Clements, A. N. (1992). The biology of mosquitoes. Volume 1. Development, nutrition and reproduction. Chapman & Hall. Colón-González, F. J., Fezzi, C., Lake, I. R., & Hunter, P. R. (2013). The Effects of Weather and Climate Change on Dengue. PLoS Neglected Tropical Diseases, 7(11). https://doi.org/10.1371/journal.pntd.0002503 Correa Martínez, L., Cabrera Morales, C., Martínez Licor, M., & Martínez Núñez, M. (2016). Consideraciones clínicas y terapéuticas sobre el dengue. Correo Científico Médico, 20(1), 80–97. Cucunawangsih, & Lugito, N. P. H. (2017). Trends of dengue disease epidemiology. In Virology: Research and Treatment (Vol. 8, p. 1178122X17695836). SAGE Publications. https://doi.org/10.1177/1178122X17695836 Cummings, D. A. T., Schwartz, I. B., Billings, L., Shaw, L. B., & Burke, D. S. (2005). Dynamic effects of antibody-dependent enhancement on the fitness of viruses. Proceedings of the National Academy of Sciences of the United States of America, 102(42), 15259–15264. https://doi.org/10.1073/pnas.0507320102 Da Conceição Araújo, D., Dos Santos, A. D., Lima, S. V. M. A., Vaez, A. C., Cunha, J. O., & Conceição Gomes Machado de Araújo, K. (2020). Determining the association between dengue and social inequality factors in north-eastern Brazil: A spatial modelling. Geospatial Health, 15(1). https://doi.org/10.4081/gh.2020.854 Da Costa, C. F., Dos Passos, R. A., Lima, J. B. P., Roque, R. A., De Souza Sampaio, V., Campolina, T. B., Secundino, N. F. C., & Pimenta, P. F. P. (2017). Transovarial transmission of DENV in Aedes aegypti in the Amazon basin: a local model of xenomonitoring. Parasites and Vectors, 10(1), 1–9. https://doi.org/10.1186/s13071-017-2194-5 da Silva Oliveira, L. N., Itria, A., & Lima, E. C. (2019). Cost of illness and program of dengue: A systematic review. PLoS ONE, 14(2), e0211401. https://doi.org/10.1371/journal.pone.0211401 DANE: Departamento Administrativo Nacional de Estadísticas. (2009). Proyecciones nacionales y departamentales 2005-2020. De Castro, D. B., Sampaio, V. S., De Albuquerque, B. C., Pinto, R. C., Sadahiro, M., Dos Passos, R. A., Da Costa, C. F., & Braga, J. U. (2018). Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010-2011. BMC Public Health, 18(1). https://doi.org/10.1186/s12889-018-5251-x De La Hoz, F., Enrique, M., Duran, M., Vigilancia, D., Del Riesgo En, A., Pública, S., Pacheco García, O. E., Análisis, S., Riesgo, D., Inmediata, R., Salud, E., Documento, P., Por, E., Zambrano, P., María, M., & Reyes, M. (2014). Protocolo de Vigilancia en Salud Pública: Dengue. de Salazar, L. M., & Villar Luján, R. C. (2018). Globalization and health inequities in latin America. https://doi.org/10.1007/9783319672922 Delatte, H., Gimonneau, G., Triboire, A., & Fontenille, D. (2009). Influence of Temperature on Immature Development, Survival, Longevity, Fecundity, and Gonotrophic Cycles of Aedes albopictus , Vector of Chikungunya and Dengue in the Indian Ocean. Journal of Medical Entomology, 46(1), 33–41. https://doi.org/10.1603/033.046.0105 Delmelle, E., Hagenlocher, M., Kienberger, S., & Casas, I. (2016). A spatial model of socioeconomic and environmental determinants of dengue fever in Cali, Colombia. Acta Tropica, 164, 169–176. https://doi.org/10.1016/j.actatropica.2016.08.028 Departamento Administrativo Nacional de Estadistica. (2005). DANE. https://www.dane.gov.co/ Departamento Administrativo Nacional de Estadistica. (2020). Geoportal DANE. Bogotá. https://geoportal.dane.gov.co/#gsc.tab=0 Departamento de Planeación Nacional. (2021). Medición de Desempeño Municipal [Municipal Performance Measurement] (Vol. 5). DNP. Departamento Nacional de Planeación. (2015). Índice de Vulnerabilidad Territorial: Resultados 2008-2012. Dirección de Justitica, Seguridad y Gobierno, 1–32. Díaz Caravantes, R. E. (2018). Vulnerabilidad y riesgo como conceptos indisociables para el estudio del impacto del cambio climático en la salud. Región Y Sociedad, 30(73). https://doi.org/10.22198/rys.2018.73.a968 Diaz-Quijano, F. A., Martínez-Vega, R. A., Rodriguez-Morales, A. J., Rojas-Calero, R. A., Luna-González, M. L., & Díaz-Quijano, R. G. (2018). Association between the level of education and knowledge, attitudes and practices regarding dengue in the Caribbean region of Colombia. BMC Public Health, 18(1), 1–10. https://doi.org/10.1186/s12889-018-5055-z Dick, O. B., San Martín, J. L., Montoya, R. H., Del Diego, J., Zambrano, B., & Dayan, G. H. (2012). Review: The history of dengue outbreaks in the Americas. American Journal of Tropical Medicine and Hygiene, 87(4), 584–593. https://doi.org/10.4269/ajtmh.2012.11-0770 Durán Gil, C. A. (2017). Análisis espacial de las condiciones de vulnerabilidad social, económica, física y ambiental en el territorio colombiano. Perspectiva Geográfica, 22(1), 11–32. https://doi.org/10.19053/01233769.5956 Eakin, H., & Luers, A. L. (2006). Assessing the Vulnerability of Social-Environmental Systems. Annual Review of Environment and Resources, 31(1), 365–394. https://doi.org/10.1146/annurev.energy.30.050504.144352 Ebi, K. L., & Nealon, J. (2016). Dengue in a changing climate. Environmental Research, 151, 115–123. https://doi.org/10.1016/j.envres.2016.07.026 Escobar-Mesa, J., & Gómez-Dantés, H. (2003). Determinantes de la transmisión de dengue en Veracruz: Un abordaje ecológico para su control. Salud Publica de Mexico, 45(1), 43–53. https://doi.org/10.1590/S0036-36342003000100006 Estrada-Franco, J. (1995). Biology, disease relationships, and control of Aedes albopictus. In PAHO Library. Farinelli, E. C., Baquero, O. S., Stephan, C., & Chiaravalloti-Neto, F. (2018). Low socioeconomic condition and the risk of dengue fever: A direct relationship. Acta Tropica, 180, 47–57. https://doi.org/10.1016/j.actatropica.2018.01.005 Farmer, P. (1996). Social Inequalities and Emerging Infectious Diseases. Emerging Infectious Diseases, 2(4), 259–269. https://doi.org/10.3201/eid0204.960402 Feingeblatt, H. (2019). Los costos sociales de la corrupción. In PEN/CPONARE. Feito, L. (2008). Vulnerabilidad. Anales Del Sistema Sanitario de Navarra, 30(0), 7–22. Ferreira, A. C., Chiaravalloti Neto, F., & Mondini, A. (2018). Dengue em Araraquara, SP: epidemiologia, clima e infestação por Aedes aegypti. Revista de Saúde Pública, 52, 1–10. https://doi.org/10.11606/S1518-8787.2018052000414 Filho, W. L., Scheday, S., Boenecke, J., Gogoi, A., Maharaj, A., & Korovou, S. (2019). Climate Change, Health and Mosquito-Borne Diseases: Trends and Implications to the Pacific Region. International Journal of Environmental Research and Public Health, 16(24). https://doi.org/10.3390/ijerph16245114 Forattini, O. P. (1986). Identification of Aedes (Stegomyia) albopictus (Skuse) in Brazil. Revista de Saude Publica, 20(3), 244–245. https://doi.org/10.1590/S0034-89101986000300009 Fouque, F., & Reeder, J. C. (2019). Impact of past and on-going changes on climate and weather on vector-borne diseases transmission: A look at the evidence. Infectious Diseases of Poverty, 8(1), 1–9. https://doi.org/10.1186/s40249-019-0565-1 Frenk, J., & Gómez-Dantés, O. (2007). La globalización y la nueva salud pública. Salud Publica de Mexico, 49(2), 156–164. https://doi.org/10.1590/s0036-36342007000200011 Frenk, J., Gómez-Dantés, O., & Knaul, F. M. (2004). Globalization and infectious diseases: A review of the linkages. In Programme for Research and Training in Tropical Diseases. https://doi.org/10.1016/j.idc.2011.05.003 Fritzsche, K., Schneiderbauer, S., Bubeck, P., Kienberger, S., Buth, M., Zebisch, M., & Kahlenborn, W. (2017). The Vulnerability Sourcebook Concept and guidelines for standardised vulnerability assessments (Adelphi, Ed.; 1°, Issue November). adelphi consult. Gama, Z. P., & Nakagoshi, N. (2013). Climatic Variability and Dengue Haemaorrhagic Fever Incidence in Nganjuk District , East Java , Indonesia. Acta Biologica Malaysiana, 2(1), 31–39. https://doi.org/10.7593/abm/2.1.31 GIZ-Deutsche Gesellschaft für Internationale Zusammenarbeit. (2013). Vulnerability Assessments: Experiences of GIZ with Vulnerability Assessments at the local level (Vol. 1). Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH. Global Burden of Disease data visualiation, I. for H. M. and. (2015). GBD Compare | IHME Viz Hub. Global Burden of Disease. https://doi.org/http://ihmeuw.org/3pgz Gomes, A. F., Nobre, A. A., & Cruz, O. G. (2012). Temporal analysis of the relationship between dengue and meteorological variables in the city of Rio de Janeiro, Brazil, 2001-2009. Cadernos de Saúde Pública, 28(11), 2189–2197. https://doi.org/10.1590/s0102-311x2012001100018 Gómez Gómez, R. E., Kim, J., Hong, K., Jang, J. Y., Kisiju, T., Kim, S., & Chun, B. C. (2022). Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model. International Journal of Environmental Research and Public Health, 19(19). https://doi.org/10.3390/ijerph191912192 Gratz, N. G. (2004). Critical review of the vector status of Aedes albopictus. In Medical and Veterinary Entomology (Vol. 18, Issue 3, pp. 215–227). https://doi.org/10.1111/j.0269-283X.2004.00513.x Graycar, A. (2015). Corruption: Classification and analysis. Policy and Society, 34(2), 87–96. https://doi.org/10.1016/j.polsoc.2015.04.001 Greenpeace. (2009). Cambio Climático: Futuro negro para los páramos. Groth, D., Hartmann, S., Klie, S., & Selbig, J. (2013). Principal components analysis. Methods in Molecular Biology (Clifton, N.J.), 930, 527–547. https://doi.org/10.1007/978-1-62703-059-5_22 Guo, C., Zhou, Z., Wen, Z., Liu, Y., Zeng, C., Xiao, D., Ou, M., Han, Y., Huang, S., Liu, D., Ye, X., Zou, X., Wu, J., Wang, H., Zeng, E. Y., Jing, C., & Yang, G. (2017). Global Epidemiology of Dengue Outbreaks in 1990–2015: A Systematic Review and Meta-Analysis. Frontiers in Cellular and Infection Gupta, S., Davoodi, H. R., Alonso Terme, R. M., International Monetary Fund, & International Monetary Fund. Fiscal Affairs Department. (1998). Does Corruption Affect Income Inequality and Poverty? IMF Working Papers, 98(76), 1. https://doi.org/10.5089/9781451849844.001 Gutierrez-Barbosa, H., Medina-Moreno, S., Zapata, J. C., & Chua, J. V. (2020). Dengue Infections in Colombia: Epidemiological Trends of a Hyperendemic Country. Tropical Medicine and Infectious Disease, 5(4), 156. https://doi.org/10.3390/tropicalmed5040156 Hagenlocher, M., Delmelle, E., Casas, I., & Kienberger, S. (2013). Assessing socioeconomic vulnerability to dengue fever in Cali, Colombia: Statistical vs expert-based modeling. International Journal of Health Geographics, 12(1), 1. https://doi.org/10.1186/1476-072X-12-36 Hales, S., de Wet, N., Maindonald, J., & Woodward, A. (2002). Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. Lancet (London, England), 360(9336), 830–834. https://doi.org/10.1016/S0140-6736(02)09964-6 Harbach, R. (2020). Culicidae Classification. Mosquito Taxonomic Inventory. http://mosquito-taxonomic-inventory.info/simpletaxonomy/term/6045 Hawley, W. A. (1988). The biology of Aedes albopictus. Journal of the American Mosquito Control Association. Supplement, 1, 1–39. Heintze, C., Garrido, M. V., & Kroeger, A. (2007). What do community-based dengue control programmes achieve? A systematic review of published evaluations. In Transactions of the Royal Society of Tropical Medicine and Hygiene (Vol. 101, Issue 4, pp. 317–325). No longer published by Elsevier. https://doi.org/10.1016/j.trstmh.2006.08.007 Hilarión-Gaitán, L., Díaz-Jiménez, D., Cotes-Cantillo, K., & Castañeda-Orjuela, C. (2019). Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015. Biomédica, 39(4), 737–747. https://doi.org/10.7705/biomedica.4453 Hopp, M., & Foley, J. (2001). Global-scale relationships between climate and the dengue fever vector, Aedes Aegypti. Climatic Change, 103(3), 239–248. https://doi.org/: 10.1023/A:1010717502442 Huynh, L. T. M., & Stringer, L. C. (2018). Multi-scale assessment of social vulnerability to climate change: An empirical study in coastal Vietnam. Climate Risk Management, 20(February), 165–180. https://doi.org/10.1016/j.crm.2018.02.003 Instituto Nacional de Salud. (2020). Boletín Epidemiológico Semana: semana epidemiologica 38. Instituto Nacional de Salud (Colombia). (2023). Portal Sivigila. https://portalsivigila.ins.gov.co/ ITEP, European Union, & Transparencia por Colombia. (2017). Índice de Transparencia Municipal [Municipal Transparency Index] (Vol. 17). Corporación Transparencia por Colombia. Jain, R. (2019). Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data. BMCInfectious Diseases, 19(272), 1–16. Jaworeck, S. (2022). A New Approach for Constructing a Health Care Index including the Subjective Level. International Journal of Environmental Research and Public Health, 19(15), 9686. https://doi.org/10.3390/ijerph19159686 Jiménez, B., Lopardo, R., Bacchiega, J., Higa, L., Urquidi’barrau, F., Tundisi, J., Tucci, C., Rosadospilki, F., Hespanhol, I., Cirilo, J., Scheuenstuhl, M., Periotto, N., Ormeci, B., & D´andrea, J. (2015). Urban water challenges in The Americas. A perspective from the Academies of Sciences. In OECD Observer. Joa, D. (2005). Efectos del cambio climático sobre la salud: dengue y malaria. 1–3. Johansen, I. C., Do Carmo, R. L., Alves, L. C., & Dias Bueno, M. D. C. (2018). Environmental and demographic determinants of dengue incidence in Brazil. Revista de Salud Publica, 20(3), 346–351. https://doi.org/10.15446/rsap.v20n3.54315 Jubeh, G., & Mimi, Z. (2012). Governance and Climate Vulnerability Index. Water Resources Management, 26(14), 4147–4162. https://doi.org/10.1007/s11269-012-0137-7 Juliano, S. A., Lounibos, L. P., Sierra, H., Cordova, M., Chen, C.-S. J., & Rajadhyaksha, M. (2005). Ecology of invasive mosquitoes: effects on resident species and on human health. Ecology Letters, 8(5), 558–574. https://doi.org/10.1111/j.1461-0248.2005.00755 Karim, M. N., Munshi, S. U., Anwar, N., & Alam, M. S. (2012). Climatic factors influencing dengue cases in Dhaka city: A model for dengue prediction. The Indian Journal of Medical Research, 136(1), 32. https://doi.org/10.1016/j.ijid.2018.04.3862 Karl, S., Halder, N., Kelso, J. K., Ritchie, S. A., & Milne, G. J. (2014). A spatial simulation model for dengue virus infection in urban areas. BMC Infectious Diseases, 14(1), 1–17. https://doi.org/10.1186/1471-2334-14-447 Kavanagh, M. M., & Chen, L. (2019). Governance and health aid from the global fund: Effects beyond fighting disease. Annals of Global Health, 85(1), 1–9. https://doi.org/10.5334/aogh.2505 Keating, J. (2001). An investigation into the cyclical incidence of dengue fever. Social Science & Medicine (1982), 53(12), 1587–1597 Kelly, P. M., & Adger, W. N. (2000). Theory and practice in assessing vulnerability to climate change and facilitating adaptation. Climatic Change, 47(4), 325–352. https://doi.org/10.1023/A:1005627828199 Kloog, I., Novack, L., Erez, O., Just, A. C., & Raz, R. (2018). Associations between ambient air temperature, low birth weight and small for gestational age in term neonates in southern Israel. Environmental Health : A Global Access Science Source, 17(1), 76. https://doi.org/10.1186/s12940-018-0420-z Knudsen, A. B., & Slooff, R. (1992). Vector-borne disease problems in rapid urbanization: New approaches to vector control. Bulletin of the World Health Organization, 70(1), 1–6. Kong, L., Wang, J., Li, Z., Lai, S., Liu, Q., Wu, H., & Yang, W. (2018). Modeling the heterogeneity of dengue transmission in a city. International Journal of Environmental Research and Public Health, 15(6), 1–21. https://doi.org/10.3390/ijerph15061128 Kourí Flores, G., Pelegrino, J. L., Munster, B. M., & Guzmán, M. G. (2007). Sociedad, economía, inequidades y dengue. Revista Cubana de Medicina Tropical, 59(3), 177–185. Kourí, G. (2006). El dengue, un problema creciente de salud en las Américas. Revista Panamericana de Salud Pública = Pan American Journal of Public Health., 19(3), 143–145. https://doi.org/10.1590/s1020-49892006000300001 Kovats, S., Ebi, K. L., & Menne, B. (2003). Methods of assessing human health vulnerability and public health adaptation to climate change. 1. Kraemer, M. U. G., Sinka, M. E., Duda, K. A., Mylne, A. Q. N., Shearer, F. M., Barker, C. M., Moore, C. G., Carvalho, R. G., Coelho, G. E., Van Bortel, W., Hendrickx, G., Schaffner, F., Elyazar, I. R., Teng, H.-J., Brady, O. J., Messina, J. P., Pigott, D. M., Scott, T. W., Smith, D. L., … Hay, S. I. (2015). The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. ELife, 4(JUNE2015), 1–18. https://doi.org/10.7554/eLife.08347 Kuhn K, Campbell-Lendrum D, Haines A, Cox J, et al. (2005). Using climate to predict infectious disease epidemics. Lai, Y. H. (2018). The climatic factors affecting dengue fever outbreaks in southern Taiwan: An application of symbolic data analysis. BioMedical Engineering Online, 17(s2), 1–14. https://doi.org/10.1186/s12938-018-0575-4 Laserna, A., Barahona-Correa, J., Baquero, L., Castañeda-Cardona, C., & Rosselli, D. (2018). Economic impact of dengue fever in Latin America and the Caribbean: a systematic review. Revista Panamericana de Salud Pública, 42. https://doi.org/10.26633/rpsp.2018.111 Lee, J.-S., & Farlow, A. (2019). The threat of climate change to non-dengue-endemic countries: increasing risk of dengue transmission potential using climate and non-climate datasets. BMC Public Health, 19(1), 1–7. https://doi.org/10.1186/s12889-019-7282-3 Lee, S. H., Nam, K. W., Jeong, J. Y., Yoo, S. J., Koh, Y. S., Lee, S., Heo, S. T., Seong, S. Y., & Lee, K. H. (2013). The Effects of Climate Change and Globalization on Mosquito Vectors: Evidence from Jeju Island, South Korea on the Potential for Asian Tiger Mosquito (Aedes albopictus) Influxes and Survival from Vietnam Rather Than Japan. PLoS ONE, 8(7), 1–11. https://doi.org/10.1371/journal.pone.0068512 Lewis, J. (2017). Social impacts of corruption upon community resilience and poverty. Jamba: Journal of Disaster Risk Studies, 9(1), 1–8. https://doi.org/10.4102/jamba.v9i1.391 Li, C., Lu, Y., Liu, J., & Wu, X. (2018). Climate change and dengue fever transmission in China: Evidences and challenges. Science of the Total Environment, 622–623(19), 493–501. https://doi.org/10.1016/j.scitotenv.2017.11.326 Li, C. X., Guo, X. X., Deng, Y. Q., Xing, D., Sun, A. J., Liu, Q. M., Wu, Q., Dong, Y. De, Zhang, Y. M., Zhang, H. D., Cao, W. C., Qin, C. F., & Zhao, T. Y. (2017). Vector competence and transovarial transmission of two Aedes aegypti strains to Zika virus. Emerging Microbes and Infections, 6(4). https://doi.org/10.1038/emi.2017.8 Lippi, C. A., Stewart-Ibarra, A. M., Muñoz, Á. G., Borbor-Cordova, M. J., Mejía, R., Rivero, K., Castillo, K., Cárdenas, W. B., & Ryan, S. J. (2018). The social and spatial ecology of dengue presence and burden during an outbreak in Guayaquil, Ecuador, 2012. International Journal of Environmental Research and Public Health, 15(4). https://doi.org/10.3390/ijerph15040827 Liu, K., Sun, J., Liu, X., Li, R., Wang, Y., Lu, L., Wu, H., Gao, Y., Xu, L., & Liu, Q. (2018). Spatiotemporal patterns and determinants of dengue at county level in China from 2005–2017. International Journal of Infectious Diseases, 77, 96–104. https://doi.org/10.1016/j.ijid.2018.09.003 Liverman, D. M. (1990). Vulnerability to Global environmental change. In understanding Global Environmental Change. Journal of Human Ecology, 29(1), 27–55. Lorraine K., A., Lopes, B., Ricchetti-Masterson, K., & Yeatts, K. B. (2015). Cross-sectional Studies. Luky Adrianto, Y. M. (2016). Developing economic vulnerability indices of environmental disasters in small island regions Developing economic vulnerability indices of environmental disasters in small island regions. Impact, Environmental Review, Assessment, 9255(August 2002), 393–414. https://doi.org/10.1016/S0195-9255(02)00012-4 Maestre, R. G. D. (2013). Dengue: epidemiología, políticas públicas y resistencia de vectores a insecticidas. Revista de Ciencias Biomédicas, 4(2), 302–317. Mala, S., & Jat, M. K. (2019). Implications of meteorological and physiographical parameters on dengue fever occurrences in Delhi. Science of the Total Environment, 650, 2267–2283. https://doi.org/10.1016/j.scitotenv.2018.09.357 Malagón-Rojas, J., Garrote-Wilches, C., & Castilla-Bello, P. (2017). Cambio climático y salud humana: una revisión desde la perspectiva colombiana. SaludUnimorle, 33(2), 224–241. Maldonado, C. E. (2019). La corrupción es flagrate violacion a los derechos humanos. Le Monde Diplomatique, 192, 10–11. Manderson, L., Aagaard-Hansen, J., Allotey, P., Gyapong, M., & Sommerfeld, J. (2009). Social research on neglected diseases of poverty: Continuing and emerging themes. PLoS Neglected Tropical Diseases, 3(2), 1–6. https://doi.org/10.1371/journal.pntd.0000332 Manrique-Villanueva, L., & Eslava-Schmalbach, J. (2011). Auscultando la corrupción en la salud: Definición y causas. ¿qué está en juego? Revista Colombiana de Obstetricia y Ginecologia, 62(4), 308–314. https://doi.org/10.18597/rcog.154 Marcondes, C. B., Contigiani, M., Gleiser, R. M., & Reisen, W. (2017). Emergent and reemergent arboviruses in South America and the Caribbean: Why so many and why now? Journal of Medical Entomology, 54(3), 509–532. https://doi.org/10.1093/jme/tjw209 Márquez Benítez, Y., Cortés Monroy, J. K., Martínez Montenegro, E. G., Peña-García, V. H., & Monroy Díaz, Á. L. (2019). Influencia de la temperatura ambiental en el mosquito Aedes spp y la transmisión del virus del dengue. CES Med, 33(1), 42–50. Martinez, C. D., Machado, G. F., & Concepción, M. R. (1981). Dengue hemorrágico en el niño. ARTIGO. Martinez Nieto, C. (2019). First Case of Sexually Transmitted Dengue in Spain and Europe. https://www.medscape.com/viewarticle/921406 Martinez Ruiz, D. M. (2013). Correlación espacial entre la incidencia del dengue y variables climáticas en el valle geográfico del Río Cauca, durante los años 2000 y 2013 (Vol. 53, Issue 9). https://doi.org/10.1017/CBO9781107415324.004 Masrani, A. S., Nik Husain, N. R., Musa, K. I., & Yasin, A. S. (2021). Prediction of Dengue Incidence in the Northeast Malaysia Based on Weather Data Using the Generalized Additive Model. BioMed Research International, 2021. https://doi.org/10.1155/2021/3540964 Matthews, B. J. (2019). Aedes aegypti. In Trends in Genetics (Vol. 35, Issue 6, pp. 470–471). https://doi.org/10.1016/j.tig.2019.03.005 Mejía-Jurado, E., Echeverry-Cárdenas, E., & Aguirre-Obando, O. A. (2024). Potential current and future distribution for Aedes aegypti and Aedes albopictus in Colombia: important disease vectors. Biological Invasions, 26(7), 2119–2137. https://doi.org/10.1007/s10530-024-03298-2 Mena, N., Troyo, A., Bonilla-Carrión, R., & Rica, C. (2011). Factores asociados con la incidencia de dengue en Costa Rica. Revista Panamericana De Salud Publica, 29(4), 234–242. https://doi.org/10.1590/S1020-49892011000400004 Messina, J. P., Brady, O. J., Pigott, D. M., Golding, N., Kraemer, M. U. G., Scott, T. W., Wint, G. R. W., Smith, D. L., & Hay, S. I. (2015). The many projected futures of dengue. Nature Reviews Microbiology, 13(4), 230–239. https://doi.org/10.1038/nrmicro3430 Ministério da Saúde. (2001). Dengue, instruções para Pessoal de Combate ao Vetor. Dengue; Instruções Para Pessoal de Combate Ao Vetor, Manual de Normas Técnicas, 11–13. Ministerio de Salud de la Nación Argentino. (2018). Directrices para la prevencion y control de Aedes aegypti. Ministerio de Salud y Protección Social. (2013). Dengue Memorias. In Ministerio De Proteccion Social. Mirle, K., Uk, M. R. A., Canada, N. G., Gutzler, D., Republic, S. M., Uk, D. M., Germany, T. M., Uk, D. P., & France, A. R. (2013). Detection and Attribution of Climate Change: from Global to Regional. Misslin, R., Telle, O., Daudé, E., Vaguet, A., & Paul, R. E. (2016). Urban climate versus global climate change—what makes the difference for dengue? Annals of the New York Academy of Sciences, 1382(1), 56–72. https://doi.org/10.1111/nyas.13084 Monath, T. P. (2019). The Arboviruses: Epidemiology and Ecology. CRC Press. Mora-Salamanca, A. F., Porras-Ramírez, A., & De la Hoz Restrepo, F. P. (2020). Estimating the burden of arboviral diseases in Colombia between 2013 and 2016. International Journal of Infectious Diseases, 97, 81–89. https://doi.org/10.1016/j.ijid.2020.05.051 Moreno-Banda, G. L., Riojas-Rodríguez, H., Hurtado-Díaz, M., Danis-Lozano, R., & Rothenberg, S. J. (2017). Effects of climatic and social factors on dengue incidence in Mexican municipalities in the state of Veracruz. Salud Publica de Mexico, 59(1), 41–52. https://doi.org/10.21149/8414 Morin CW, Comrie AC, E. KC. (2013). Climate and dengue transmission: evidence and implications. Environ Health Perspective, 121, 1264–1272 Mousson, L., Dauga, C., Garrigues, T., Schaffner, F., Vazeille, M., & Failloux, A. B. (2005). Phylogeography of Aedes (Stegomyia) aegypti (L.) and Aedes (Stegomyia) albopictus (Skuse) (Diptera: Culicidae) based on mitochondrial DNA variations. Genetical Research, 86(1), 1–11. https://doi.org/10.1017/S0016672305007627 MPS, & Salamanca M, Soto B, Urquijo L, Gómez A, P. J. (2011). Gestión para la vigilancia entomológica y control de la transmisión de dengue Mullei, A., & Growth, A. C. for E. (2000). The link between corruption and poverty: lessons from Kenya case studies. African Centre for Economic Growth Mulligan, K., Dixon, J., Joanna Sinn, C.-L., & Elliott, S. J. (2014). Is dengue a disease of poverty? A systematic review. Pathogens and Global Health, 109(1), 10–18. https://doi.org/10.1179/2047773214y.0000000168 Muñoz Cano, P. L. (2014). La corrupción y la ineficiencia en el gasto público local y su impacto en la pobreza en Colombia. Coyuntura Económica: Investigación Económica y Social, XLIV(1), 121–172. Mustafa, M. S., Rasotgi, V., Jain, S., & Gupta, V. (2015). Discovery of fifth serotype of dengue virus (denv-5): A new public health dilemma in dengue control. Medical Journal Armed Forces India, 71(1), 67–70. https://doi.org/10.1016/j.mjafi.2014.09.011 Naish, S., Dale, P., Mackenzie, J. S., McBride, J., Mengersen, K., & Tong, S. (2014). Climate change and dengue: A critical and systematic review of quantitative modelling approaches. BMC Infectious Diseases, 14(1), 167. https://doi.org/10.1186/1471-2334-14-167 Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffman, A., & Giovannini, E. (2005). Handbook on constructing composite indicators: Methodology and user guide. In OECD Statistics Working Papers (Issue 03). http://www.oecd-ilibrary.org/docserver/download/5lgmz9dkcdg4.pdf?expires=1471336777&id=id&accname=guest&checksum=158391DADFA324416BB9015F3E4109AF Negin, V., Rashid, Z. A., & Nikopour, H. (2010). The causal relationship between corruption and poverty: a panel data analysis. 24871, 14. Nejat, A., Monica, E., & Register, C. A. (2007). Collective (In)Action and Corruption: Access to Improved Water and Sanitation. RePEc, May 2014, 31. Ng, V., Rees, E., Lindsay, R., Drebot, M., Brownstone, T., Sadeghieh, T., & Khan, S. (2019). Could exotic mosquito-borne diseases emerge in Canada with climate change? Canada Communicable Disease Report, 45(4), 98–107. https://doi.org/10.14745/ccdr.v45i04a04 Nguyen, L. T., Le, H. X., Nguyen, D. T., Ho, H. Q., & Chuang, T. W. (2020). Impact of climate variability and abundance of mosquitoes on dengue transmission in central Vietnam. International Journal of Environmental Research and Public Health, 17(7). https://doi.org/10.3390/ijerph17072453 NOAA. (2018). Climate Prediction Center. National Weather Service. https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php Nuñez, J. R. (2015). Colombia: un país altamente vulnerable al cambio climático. Aibi Revista de Investigación, Administración e Ingeniería, 3(2), 1. Ogden, N., & Gachon, P. (2019). Climate change and infectious diseases: What can we expect? Canada Communicable Disease Report, 45(4), 76–80. https://doi.org/10.14745/ccdr.v45i04a01 Organización Panamericana de la Salud. (2020). Casos de dengue superan los 1,6 millones en América, lo que pone de relieve la necesidad del control de mosquitos durante la pandemia. News. https://www.paho.org/es/noticias/23-6-2020-casos-dengue-superan-16-millones-america-lo-que-pone-relieve-necesidad-control Otto, I. M., Reckien, D., Reyer, C. P. O., Marcus, R., Masson, V., Jones, L., Norton, A., & Serdeczny, O. (2017). Social vulnerability to climate change : a review of concepts and evidence. Regional Environmental Change, February. https://doi.org/10.1007/s10113-017-1105-9 Otu, A., Ebenso, B., Etokidem, A., & Chukwuekezie, O. (2019). Dengue fever – an update review and implications for Nigeria, and similar countries. African Health Sciences, 19(2), 2000. https://doi.org/10.4314/ahs.v19i2.23 Pacheco-coral, A. P. (2016). The role of migration processes in dengue fever occurrence in Colombia : a mixed study approach. Padilla, J. C., Rojas, D. P. P. P., Gómez, R., Padilla JC, Rojas DP, S.-G. R., Padilla, J. C., Rojas, D. P. P. P., Sáenz-Gómez, R., Padilla JC, Rojas DP, S.-G. R., Padilla, J. C., Rojas, D. P. P. P., Gómez, R., Padilla JC, Rojas DP, S.-G. R., Padilla, J. C., Rojas, D. P. P. P., Sáenz-Gómez, R., Padilla JC, Rojas DP, S.-G. R., Padilla, J. C., Rojas, D. P. P. P., Gómez, R., & Padilla JC, Rojas DP, S.-G. R. (2012). Dengue en Colombia: Epidemiología de la reemergencia a la hiperendemia. (First). Perea, N. O., & Callaghan, A. (2017). Pond dyes are Culex mosquito oviposition attractants. PeerJ, 2017(5). https://doi.org/10.7717/peerj.3361 Pérez Contreras, I., Alvarado Bravo Krystel, M., Barragán Gonzáles, A., & Velasco Pérez Daniel, A. (2019). Climate Variability and Its Impact on the Incidence by Dengue in Six Endemic States of the Mexican Republic. Journal of Infectious Diseases and Epidemiology, 5(6), 1–7. https://doi.org/10.23937/2474-3658/1510097 Persson, A., Rothstein, B., & Teorell, J. (2013). Why anticorruption reforms fail-systemic corruption as a collective action problem. Governance, 26(3), 449–471. https://doi.org/10.1111/j.1468-0491.2012.01604.x Phanitchat, T., Zhao, B., Haque, U., Pientong, C., Ekalaksananan, T., Aromseree, S., Thaewnongiew, K., Fustec, B., Bangs, M. J., Alexander, N., & Overgaard, H. J. (2019). Spatial and temporal patterns of dengue incidence in northeastern Thailand 2006–2016. BMC Infectious Diseases, 19(1), 743. https://doi.org/10.1186/s12879-019-4379-3 Piedrahita, L. D., Agudelo Salas, I. Y., Marin, K., Trujillo, A. I., Osorio, J. E., Arboleda-Sanchez, S. O., & Restrepo, B. N. (2018). Risk Factors Associated with Dengue Transmission and Spatial Distribution of High Seroprevalence in Schoolchildren from the Urban Area of Medellin, Colombia. Canadian Journal of Infectious Diseases and Medical Microbiology, 2018. https://doi.org/10.1155/2018/2308095 Pino, N., & Wainer, G. (2019). Un Modelo Computacional de la Transmisión del Dengue por Autómatas Celulares. Selecciones Matemáticas, 6(2), 217–224. https://doi.org/10.17268/sel.mat.2019.02.08 Pizarro, R. (2001). La vulnerabilidad social y sus desafíos: una mirada desde América Latina estudios estadísticos y prospectivos. In Cepal. Powell, J. R., & Tabachnick, W. J. (2013). History of domestication and spread of Aedes aegypti--a review. Memórias Do Instituto Oswaldo Cruz, 108(August), 11–17. https://doi.org/10.1590/0074-0276130395 Pricope, N., Pardo-rodriguez, L., Lopez-carr, D. L., & Barbara, S. (2013). Vulnerability to Climate Change. Oxford Bibliographies, 24. https://doi.org/10.1093/obo/9780199874002-0040 Program, W. M. (2018). Preguntas frecuentes World Mosquito Program. http://www.eliminatedengue.com/colombia/preguntas-frecuentes/index/type/Mosquito-aedes-aegypti Protos. (2016). Metodología de diagnóstico de vulnerabilidad climática. Qu, Y., Shi, X., Wang, Y., Li, R., Lu, L., & Liu, Q. (2018). Effects of socio-economic and environmental factors on the spatial heterogeneity of dengue fever investigated at a fine scale. Geospatial Health, 13(2), 287–297. https://doi.org/10.4081/gh.2018.682 Quintero, J., Carrasquilla, G., Suárez, R., González, C., & Olano, V. A. (2009). An ecosystemic approach to evaluating ecological, socioeconomic and group dynamics affecting the prevalence of Aedes aegypti in two Colombian towns. Cadernos de Saude Publica, 25(SUPPL. 1), 93–103. https://doi.org/10.1590/s0102-311x2009001300009 Quintero, J., García-Betancourt, T., Caprara, A., Basso, C., Garcia da Rosa, E., Manrique-Saide, P., Coelho, G., Sánchez-Tejeda, G., Dzul-Manzanilla, F., García, D. A., Carrasquilla, G., Alfonso-Sierra, E., Monteiro Vasconcelos Motta, C., Sommerfeld, J., Kroeger, A., García-Betancourt, T., Caprara, A., B., Asso, C., Garcia da Rosa, E., … Monteiro Vasconcelos Motta, C., Sommerfeld, J., Kroeger, A. (2017). Taking innovative vector control interventions in urban Latin America to scale: lessons learnt from multi-country implementation research. Pathogens and Global Health, 111(6), 306–316. https://doi.org/10.1080/20477724.2017.1361563 Raude, J., & Setbon, M. (2009). The role of environmental and individual factors in the social epidemiology of chikungunya disease on Mayotte Island. Health and Place, 15(3), 689–699. https://doi.org/10.1016/j.healthplace.2008.10.009 Reinhold, J. M., Lazzari, C. R., & Lahondère, C. (2018). Effects of the environmental temperature on Aedes aegypti and Aedes albopictus mosquitoes: A review. Insects, 9(4). https://doi.org/10.3390/insects9040158 Rey, J. R., & Lounibos, P. (2015). Ecología de Aedes aegypti y Aedes albopictus en América y transmisión enfermedades. Biomedica, 35(2), 177–185. https://doi.org/10.7705/biomedica.v35i2. Ribeiro, A. F., Marques, G. R. A. M., Voltolini, J. C., & Condino, M. L. F. (2006). Associação entre incidência de dengue e variáveis climáticas. Rev. Saúde Pública, 40, 671–676 Rigau-Pérez, J. G., Clark, G. G., Gubler, D. J., Reiter, P., Sanders, E. J., & Vance Vorndam, A. (2017). Dengue and dengue haemorrhagic fever. The Lancet, 352(9132), 971–977. https://doi.org/10.1016/S0140-6736(97)12483-7 Rigby, R. A., Stasinopoulos, D. M., & Lane, P. W. (2005). Generalized additive models for location, scale and shape. Journal of the Royal Statistical Society. Series C: Applied Statistics, 54(3), 507–554. https://doi.org/10.1111/j.1467-9876.2005.00510.x Rigby, R. A., Stasinopoulos, M. D., Heller, G. Z., & De Bastiani, F. (2019). Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R. CRC Press. Ríos, J. (2004). Aspectos entomológicos del dengue. Infectio, 8(3), 231–236. Robins M. James, M. A. H. (2020). Causal Inference - what if. Foundations of Agnostic Statistics, 235–281. Rohat, G., Monaghan, A., Hayden, M. H., Ryan, S. J., Charrière, E., & Wilhelmi, O. (2020). Intersecting vulnerabilities: climatic and demographic contributions to future population exposure to Aedes -borne viruses in the United States. Environmental Research Letters, 15(8), 084046. https://doi.org/10.1088/1748-9326/ab9141 Rose, J. B., Epstein, P. R., Lipp, E. K., Sherman, B. H., Bernard, S. M., & Patz, J. A. (2001). Climate variability and change in the United States: Potential impacts on water and foodborne diseases caused by microbiologic agents. Environmental Health Perspectives, 109(SUPPL. 2), 211–221. https://doi.org/10.2307/3435011 Rosen, L. (1987). Sexual transmission of dengue viruses by Aedes albopictus. American Journal of Tropical Medicine and Hygiene, 37(2), 398–402. https://doi.org/10.4269/ajtmh.1987.37.398 Rúa-Uribe, G. L., Suárez-Acosta, C. del R., & Rojo, R. A. (2012). Epidemiological implications of Aedes albopictus (Skuse) in Colombia. Rev. Fac. Nac. Salud Pública, 30(3), 328–337. Ruiz Rivera, N. (2012). La definición y medición de la vulnerabilidad social. Un enfoque normativo. Investigaciones Geográficas, 77(10), 63–74. https://doi.org/10.1056/NEJM200103083441015 Ruiz-López, F., González-Mazo, A., Vélez-Mira, A., Gómez, G. F., Zuleta, L., Uribe, S., & Vélez-Bernal, I. D. (2016). Presencia de Aedes (Stegomyia) aegypti (Linnaeus, 1762) y su infección natural con el virus del dengue en alturas no registradas para Colombia. Biomédica, 36(2), 303. https://doi.org/10.7705/biomedica.v36i2.3301 Ryan, S. J., Lippi, C. A., Nightingale, R., Hamerlinck, G., Borbor-Cordova, M. J., Cruz B, M., Ortega, F., Leon, R., Waggoner, E., & Stewart-Ibarra, A. M. (2019). Socio-ecological factors associated with dengue risk and Aedes aegypti presence in the Galápagos Islands, Ecuador. International Journal of Environmental Research and Public Health, 16(5), 1–16. https://doi.org/10.3390/ijerph16050682 Salas, R. N., & Jha, A. K. (2019). Climate change threatens the achievement of effective universal healthcare. BMJ (Clinical Research Ed.), 366(September), l5302. https://doi.org/10.1136/bmj.l5302 Sánchez, M. V, & Sauma, P. (2011). Vulnerabilidad económica externa, protección social y pobreza en América Latina. Sands, P., El Turabi, A., Saynisch, P. A., & Dzau, V. J. (2016). Assessment of economic vulnerability to infectious disease crises. The Lancet, 388(10058), 2443–2448. https://doi.org/10.1016/S0140-6736(16)30594-3 Schmidt, W.-P., Suzuki, M., Dinh Thiem, V., White, R. G., Tsuzuki, A., Yoshida, L.-M., Yanai, H., Haque, U., Huu Tho, L., Anh, D. D., & Ariyoshi, K. (2011). Population Density, Water Supply, and the Risk of Dengue Fever in Vietnam: Cohort Study and Spatial Analysis. PLoS Medicine, 8(8), e1001082. https://doi.org/10.1371/journal.pmed.1001082 Schmunis, G. A., & Dias, J. C. P. (2000). Health system, decentralization, and the control of vector-borne diseases. Cadernos de Saúde Pública, 16(Sup.2), 117–123. Setia, M. S. (2016). Methodology Series Module 3: Cross-sectional Studies. Indian Journal of Dermatology, 61(3), 261–264. https://doi.org/10.4103/0019-5154.182410 Silva, M. (2010). Desigualdad y exclusión social: de breve revisitación a una síntesis proteórica. RIPS. Revista de Investigaciones Políticas y Sociológicas, 9(1), 111–136. Sirisena, P., Noordeen, F., Kurukulasuriya, H., Romesh, T. A., & Fernando, L. K. (2017). Effect of climatic factors and population density on the distribution of dengue in Sri Lanka: A GIS based evaluation for prediction of outbreaks. PLoS ONE, 12(1). https://doi.org/10.1371/journal.pone.0166806 Skolnik, R. (2016). Global Health 101 (R. K. Riegelman, Ed.). Jones & Bartlett Learning. Spiegel, J. M., Bonet, M., Ibarra, A. M., Pagliccia, N., Ouellette, V., & Yassi, A. (2007). Social and environmental determinants of Aedes aegypti infestation in Central Havana: Results of a case-control study nested in an integrated dengue surveillance programme in Cuba. Tropical Medicine and International Health, 12(4), 503–510. https://doi.org/10.1111/j.1365-3156.2007.01818.x Stanke, C., Kerac, M., Prudhomme, C., Medlock, J., & Murray, V. (2013). Health Effects of Drought: A Systematic Review of the Evidence. PLoS Currents, 5(JUNE), 1–24. https://doi.org/10.1371/currents.dis.7a2cee9e980f91ad7697b570bcc4b004 Stewart Ibarra, A. M., Luzadis, V. A., Borbor Cordova, M. J., Silva, M., Ordoñez, T., Ayala, E. B., & Ryan, S. J. (2014). A social-ecological analysis of community perceptions of dengue fever and Aedes aegypti in Machala, Ecuador. BMC Public Health, 14(1), 1–12. https://doi.org/10.1186/1471-2458-14-1135 Stewart-Ibarra, A. M. (2012). A social-ecological analysis of vulnerability to dengue fever in Southern coastal Ecuador. Stramer, S. L., Hollinger, F. B., Katz, L. M., Kleinman, S., Metzel, P. S., Gregory, K. R., & Dodd, R. Y. (2009). Emerging infectious disease agents and their potential threat to transfusion safety. Transfusion, 49(SUPPL. 2), 29. https://doi.org/10.1111/j.1537-2995.2009.02279.x Suarez, M. R., Olarte, S. M. F., Ana, M. F. A., & González, U. C. (2005). Is what I have just a cold or is it dengue? Addressing the gap between the politics of dengue control and daily life in Villavicencio-Colombia. Social Science and Medicine, 61(2), 495–502. https://doi.org/10.1016/j.socscimed.2004.11.069 Sullivan, A. K. (2016). Water Sanitation and Waste Management in Latin America , Colombia , and Cartagena : A Study of the Relationship Between Environment , Health , Poverty , and Policy. Surendran, S. N., Jayadas, T. T. P., Sivabalakrishnan, K., Santhirasegaram, S., Karvannan, K., Weerarathne, T. C., Parakrama Karunaratne, S. H. P., & Ramasamy, R. (2019). Development of the major arboviral vector Aedes aegypti in urban drain-water and associated pyrethroid insecticide resistance is a potential global health challenge. Parasites and Vectors, 12(1). https://doi.org/10.1186/s13071-019-3590-9 Sutherst, R. W. (2004). Global change and human vulnerability to vector-borne diseases. Clinical Microbiology Reviews, 17(1), 136–173. Tapia-Conyer, R., Betancourt-Cravioto, M., & Mendez-Galvan, J. (2012). Dengue: an escalating public health problem in Latin America. Paediatrics and International Child Health, 32 Suppl 1, 14–17. https://doi.org/10.1179/2046904712Z.00000000046 Terminix. (2020). What to Know About Male vs Female Mosquitoes. Terminix. https://www.terminix.com/pest-control/mosquitoes/facts/male-vs-female/ TerriData DNP. (2023). TerriData DNP. TerriData DNP. https://terridata.dnp.gov.co/ Thomas, K., Hardy, R. D., Lazrus, H., Mendez, M., Orlove, B., Rivera-Collazo, I., Roberts, J. T., Rockman, M., Warner, B. P., & Winthrop, R. (2019). Explaining differential vulnerability to climate change: A social science review. In Wiley Interdisciplinary Reviews: Climate Change (Vol. 10, Issue 2, pp. 1–18). https://doi.org/10.1002/wcc.565 Tipayamongkholgu, M., & Lisakulruk, S. (2011). Socio-geographical factors in vulnerability to dengue in thai villages: A spatial regression analysis. Geospatial Health, 5(2), 191–198. https://doi.org/10.4081/gh.2011.171 Townroe, S., & Callaghan, A. (2014). British container breeding mosquitoes: The impact of urbanisation and climate change on community composition and phenology. PLoS ONE, 9(4). https://doi.org/10.1371/journal.pone.0095325 Triana, J. E., & Tobler Asitizábal, C. (2011). Los principios en la bioética: fuentes, propuestas y prácticas múltiples. Revista Colombiana de Bioética, 6, 34. Trujillo García, E. P., Lopera Gómez, L., & Zapata Vélez, L. P. (2014). Dinámicas interorganizacionales en la protección integral a la niñez y adolescencia en situación de vulnerabilidad social de la ciudad de Medellín, 2012 : un análisis de estructura y sentidos. Tuesca-Molina, R. de J., Navarro-Lechuga, E., Goenaga-Jiménez, E. del C., Martínez-Garcés, J. C., & Acosta-Reyes, J. (2018). Seroprevalencia en una zona de hiperendemia por dengue, en Barranquilla, Colombia. Aquichan, 18(1), 95–109. https://doi.org/10.5294/aqui.2018.18.1.9 Udayanga, L., & Gunathilaka, N. (2020). Climate change induced vulnerability and adaption for dengue incidence in Colombo and Kandy districts: The first detailed investigation in Sri Lanka. Research Square. Udayanga, L., Gunathilaka, N., Iqbal, M. C. M., & Abeyewickreme, W. (2020). Climate change induced vulnerability and adaption for dengue incidence in Colombo and Kandy districts: the detailed investigation in Sri Lanka. Infectious Diseases of Poverty, 9(1), 102. https://doi.org/10.1186/s40249-020-00717-z Udayanga, L., Gunathilaka, N., Iqbal, M. C. M., Lakmal, K., Amarasinghe, U. S., & Abeyewickreme, W. (2018). Comprehensive evaluation of demographic, socio-economic and other associated risk factors affecting the occurrence of dengue incidence among Colombo and Kandy Districts of Sri Lanka: A cross-sectional study. Parasites and Vectors, 11(1), 1–18. https://doi.org/10.1186/s13071-018-3060-9 UNFCCC. (2007). Unidos por el clima. In Convención Marco de las Naciones Unidas sobre el Cambio Climático. Valero-Bernal, M., & Tanner, M. (2008). Globalization and health: the case of tropical and neglected diseases. Rev. MVZ Córdoba, 13(1), 1252–1264. Vanlerberghe, V., & Verdonck, K. (2013). La inequidad en salud: el caso del dengue. Revista Peruana de Medicina Experimental y Salud Publica, 30(4), 683–686. Vasconcelos Motta, C. M., Caprara, A., Santana, R. P., Borrero, E., & Carrasquilla, G. (2013). Fatores associados á transmissão do dengue diante da perspectiva da ecossaúde: uma revisão sistemática. In Ecossaúde, uma abordagem eco-bio-social: percursos convergentes no controle do dengue (pp. 71–84). Velandia-Romero, M. L., Olano, V. A., Coronel-Ruiz, C., Cabezas, L., Calderón-Peláez, M. A., Castellanos, J. E., & Matiz, M. I. (2017). Detección del virus dengue en larvas y pupas de Aedes aegypti recolectadas en áreas rurales del municipio de Anapoima, Cundinamarca, Colombia. Biomedica, 37, 1–24. https://doi.org/10.7705/biomedica.v34i2.3584 Vian, T. (2008). Review of corruption in the health sector: Theory, methods and interventions. Health Policy and Planning, 23(2), 83–94. https://doi.org/10.1093/heapol/czm048 Villar, L. A., Rojas, D. P., Besada-Lombana, S., & Sarti, E. (2015). Epidemiological Trends of Dengue Disease in Colombia (2000-2011): A Systematic Review. PLoS Neglected Tropical Diseases, 9(3), e0003499. https://doi.org/10.1371/journal.pntd.0003499 Vincenti-Gonzalez, M. F., Tami, A., Lizarazo, E. F., & Grillet, M. E. (2018). ENSO-driven climate variability promotes periodic major outbreaks of dengue in Venezuela. Scientific Reports, 8(1), 1–11. https://doi.org/10.1038/s41598-018-24003-z Watts, M. J., Kotsila, P., Mortyn, P. G., Sarto i Monteys, V., & Urzi Brancati, C. (2020). Influence of socio-economic, demographic and climate factors on the regional distribution of dengue in the United States and Mexico. International Journal of Health Geographics, 19(1). https://doi.org/10.1186/s12942-020-00241-1 Weiss, B., & Pollack, A. A. (2017). Barriers to global health development: An international quantitative survey. PLoS ONE, 12(10), 1–23. https://doi.org/10.1371/journal.pone.0184846 Welsh-rodriguez, C. M., Ochoa, C., & Hayden, M. H. (2014). Cambio climático y dengue: una aproximación sistémica. IX Congreso de La Asociación Española de Climatología, 1–12. Whiteman, A., Mejia, A., Hernandez, I., & Loaiza, J. R. (2018). Socioeconomic and demographic predictors of resident knowledge, attitude, and practice regarding arthropod-borne viruses in Panama. BMC Public Health, 18(1), 1–13. https://doi.org/10.1186/s12889-018-6172-4 WHO Team. (2021). WHO Global water, sanitation and hygiene Annual report 2021. https://iris.who.int/bitstream/handle/10665/363169/9789240057258-eng.pdf?sequence=1 Wilches Chaux, G. (1993). La vulnerabilidad global. In A. Maskrey (Ed.), Los desastres no son naturales (1°, pp. 11–44). Red de Estudios Sociales en Prevención de Desastres en América Latina. Wilder-Smith, A., Chen, L. H., Massad, E., & Wilson, M. E. (2009). Threat of dengue to blood safety in dengue-endemic countries. Emerging Infectious Diseases, 15(1), 8–11. https://doi.org/10.3201/eid1501.071097 Wilder-Smith, A., & Gubler, D. J. (2008). Geographic expansion of dengue: the impact of international travel. The Medical Clinics of North America, 92(6), 1377–1390, x. https://doi.org/10.1016/j.mcna.2008.07.002 Wilder-Smith, A., Ooi, E.-E., Horstick, O., & Wills, B. (2019). Dengue. The Lancet, 393(10169), 350–363. https://doi.org/10.1016/S0140-6736(18)32560-1 Wolf, J., Johnston, R. B., Ambelu, A., Arnold, B. F., Bain, R., Brauer, M., Brown, J., Caruso, B. A., Clasen, T., Colford, J. M., Mills, J. E., Evans, B., Freeman, M. C., Gordon, B., Kang, G., Lanata, C. F., Medlicott, K. O., Prüss-Ustün, A., Troeger, C., … Cumming, O. (2023). Burden of disease attributable to unsafe drinking water, sanitation, and hygiene in domestic settings: a global analysis for selected adverse health outcomes. The Lancet, 401(10393), 2060–2071. https://doi.org/10.1016/S0140-6736(23)00458-0/ATTACHMENT/BED09094-E35B-4282-8952-3DFEE56EDC90/MMC2.XLSX Wood, S. N. (2017). Generalized Additive Models: An introduction with R. In C. Press (Ed.), Text in statistical science (2nd ed., Vol. 1, Issue 3). World Bank. (2023). Gini index - Colombia | Data. The World Bank. https://data.worldbank.org/indicator/SI.POV.GINI?locations=CO World Bank Group. (2024, May 8). Data Catalog Climate Change Knowledge Portal. https://climateknowledgeportal.worldbank.org/download-data World Health Organization. (1997). Dengue haemorrhagic fever : diagnosis, treatment, prevention and control (2nd ed). World Health Organization. https://iris.who.int/handle/10665/41988 World Health Organization. (2003). Cambio climático y salud humana: riesgos y respuestas. World Health Organization. (2009). Dengue: Guidelines for Diagnosis, Treatment, Prevention and Control. World Health Organization. (2017). Dengue control. WHO; World Health Organization. https://www.who.int/denguecontrol/epidemiology/en/ World Health Organization. (2019a, April 15). Dengue and severe dengue. WHO. https://doi.org/10.1111/1469-0691.12442 World Health Organization. (2019b, April 15). Dengue y dengue grave. OMS. https://www.who.int/es/news-room/fact-sheets/detail/dengue-and-severe-dengue Wu, X., Lu, Y., Zhou, S., Chen, L., & Xu, B. (2016). Impact of climate change on human infectious diseases: Empirical evidence and human adaptation. Environment International, 86, 14–23. https://doi.org/10.1016/j.envint.2015.09.007 Xu, L., Stige, L. C., Chan, K. S., Zhou, J., Yang, J., Sang, S., Wang, M., Yang, Z., Yan, Z., Jiang, T., Lu, L., Yue, Y., Liu, X., Lin, H., Xu, J., Liu, Q., & Stenseth, N. C. (2017). Climate variation drives dengue dynamics. Proceedings of the National Academy of Sciences of the United States of America, 114(1), 113–118. https://doi.org/10.1073/pnas.1618558114 Xuan, L. T. T., Van Hau, P., Thu, D. T., & Toan, D. T. T. (2014). Estimates of meteorological variability in association with dengue cases in a coastal city in northern Vietnam: An ecological study. Global Health Action, 7(1), 1–7. https://doi.org/10.3402/gha.v7.23119 Yamini, M. (2011). The Economic Penalty of Dengue. Yee, T. W. (2015). Vector Generalized Linear and Additive Models (Springer, Ed.). Springer New York. https://doi.org/10.1007/978-1-4939-2818-7 Yue, Y., Sun, J., Liu, X., Ren, D., Liu, Q., Xiao, X., & Lu, L. (2018). Spatial analysis of dengue fever and exploration of its environmental and socio-economic risk factors using ordinary least squares: A case study in five districts of Guangzhou City, China, 2014. International Journal of Infectious Diseases, 75, 39–48. https://doi.org/10.1016/j.ijid.2018.07.023 Zambrano P, G. Sc. J. (2017). Protocolo de vigilancia en Salud Pública DENGUE Código: 210 – 220 – 580. In Protocolo de Vigilancia en Salud Pública. Zapata Vélez, L. P. (2014). Vulnerabilidades cruzadas: fragilidad humana en un mundo débil y quebradizo (Issue 2014, p. 26). Zellweger, R. M., Cano, J., Mangeas, M., Taglioni, F., Mercier, A., Despinoy, M., Menkès, C. E., Dupont-Rouzeyrol, M., Nikolay, B., & Teurlai, M. (2017). Socioeconomic and environmental determinants of dengue transmission in an urban setting: An ecological study in Nouméa, New Caledonia. PLoS Neglected Tropical Diseases, 11(4), 1–18. https://doi.org/10.1371/journal.pntd.0005471 Zhang, Q., Chen, Y., Fu, Y., Liu, T., Zhang, Q., Guo, P., & Ma, W. (2019). Epidemiology of dengue and the effect of seasonal climate variation on its dynamics: A spatio-temporal descriptive analysis in the Chao-Shan area on China’s southeastern coast. BMJ Open, 9(5). https://doi.org/10.1136/bmjopen-2018-024197 |
dc.rights.en.fl_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
dc.rights.accessrights.none.fl_str_mv |
https://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ Acceso abierto https://purl.org/coar/access_right/c_abf2 http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.program.spa.fl_str_mv |
Doctorado en Salud Pública |
dc.publisher.grantor.spa.fl_str_mv |
Universidad El Bosque |
dc.publisher.faculty.spa.fl_str_mv |
Facultad de Medicina |
institution |
Universidad El Bosque |
bitstream.url.fl_str_mv |
https://repositorio.unbosque.edu.co/bitstreams/a9812621-e61a-406d-ae88-970140e93a9b/download https://repositorio.unbosque.edu.co/bitstreams/6937d6b8-9639-4a8b-8f92-7e82d41fb5a9/download https://repositorio.unbosque.edu.co/bitstreams/eae8511d-0e5d-4bf9-80b3-e8fcea21a194/download https://repositorio.unbosque.edu.co/bitstreams/80ebb10c-f006-471e-bd96-1ecbbfc25e93/download https://repositorio.unbosque.edu.co/bitstreams/300f7c51-cbe0-495c-b2b0-affb4aba8ae8/download https://repositorio.unbosque.edu.co/bitstreams/42ea6c02-ed16-4ad9-9092-8bc82593f730/download https://repositorio.unbosque.edu.co/bitstreams/68cf8c13-5d1a-470e-ae4e-cc3cfcd7e4c9/download |
bitstream.checksum.fl_str_mv |
6e304a60fa788ea9986da49501d19109 17cc15b951e7cc6b3728a574117320f9 8644f711ae16679948bea09753b1834b 4fade9dc96d7d9f26a2c29c1be9b8ef3 5643bfd9bcf29d560eeec56d584edaa9 b87f450d051ca3628c20a311569c4e71 5cc54bfd9597d8a28b918162addd6361 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad El Bosque |
repository.mail.fl_str_mv |
bibliotecas@biteca.com |
_version_ |
1828164647078854656 |
spelling |
Peñaranda Sanjuan, AugustoMoreno Lopez, Sergio MauricioPeñaranda Sanjuan, AugustoMoreno Lopez, Sergio Mauricio [0000-0002-3043-0963]Peñaranda Sanjuan, Augusto [0000-0003-1598-8472]2025-02-14T21:53:36Z2025-02-14T21:53:36Z2021-04https://hdl.handle.net/20.500.12495/13971instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coUna de las enfermedades con mayor extensión en términos de territorios y frecuencia en cuanto al número de casos en los últimos años el mundo es el dengue, además es catalogada como una de las patologías transmisibles con mayor magnitud e importancia a nivel mundial tanto por la carga en salud como por el impacto económico que produce (Villar et al., 2015). Esta enfermedad presenta un estimado de infecciones de aproximadamente 390 millones de personas al año, de los 194 países que hay actualmente en el mundo, 128 son catalogados como lugares endémicos de la enfermedad (Bhatt et al., 2013). La literatura actual habla del efecto de diversas vulnerabilidades sociales, climáticas y gubernamentales que giran en torno a la dinámica del dengue, exacerbando la presencia de la enfermedad en muchos territorios a nivel mundial (Filho et al., 2019; Stewart-Ibarra, 2012; Tipayamongkholgu & Lisakulruk, 2011; Udayanga & Gunathilaka, 2020). Dado lo anterior, el aumento en el número de casos de esta enfermedad representa un rubro importantes para el sector salud tanto por las campañas para el control y mitigación del vector, como por la atención de la enfermedad a nivel nacional, dado que tanto el dengue como el dengue grave hacen presencia en muchas zonas de Colombia. Con el aumento en la incidencia del dengue y sus costos en términos monetarios y de calidad de vida se motiva la realización de este estudio, que busca establecer la influencia de las vulnerabilidades sociales, económicas, climáticas y a nivel municipal y departamental y regional en la evolución del dengue en el periodo de enero de 2015 a diciembre de 2020. Esta investigación busca exponer nuevas perspectivas en cuanto a los posibles agentes relacionados con la ocurrencia del dengue en el país y áreas con características similar en términos socioeconómicos, de clima y desigualdad. Finalmente, este estudio ayudará a contribuir en las áreas de conocimiento, como cambio climático, equidad, gestión del riesgo y salud, con el objetivo de traer recomendaciones para los tomadores de decisiones en cuanto a la priorización de recursos y la identificación de territorios más vulnerables a esta condición. Dentro de las razones que explican la relevancia de este estudio están: • El dengue es una enfermedad que ha registrado un aumento en su prevalencia tanto en Colombia como internacionalmente en los últimos años. Aunque en Colombia cuenta con estudios que han evaluado el efecto de las vulnerabilidades ambientales y sociales en salud, es importante identificar la influencia conjunta de las condiciones climáticas, socioeconómicas, de gobernanza y de inequidad en la aparición de esta condición en Colombia en la frecuencia de dengue en Colombia y así establecer una caracterización del fenómeno más cercana a la realidad teniendo en cuenta las interacciones presentes entre las dimensiones climáticas, ambientales, sociales, económicas y de equidad, con fines de identificar las vulnerabilidades que puedan ser atendidas de manera más eficiente. • El estudio permitiría esbozar la influencia de las vulnerabilidades mencionadas que afectan la frecuencia de dengue y realizar en este ejercicio académico un mapa de riesgo a nivel municipal y departamental dadas estas vulnerabilidades de la población en nuestro medio que busquen frenar el avance del dengue en Colombia. • Este estudio permitirá generar información que posteriormente pueda generar un abordaje adecuado de prevención y consejería para los tomadores de decisiones y así conocer los territorios con mayor riesgo de adquirir esta enfermedad en el contexto colombiano dada las vulnerabilidades presentes.Doctor en Salud PúblicaDoctoradoOne of the diseases with the greatest extension in terms of territories and frequency in terms of the number of cases in recent years in the world is dengue, and it is also catalogued as one of the communicable diseases with the greatest magnitude and importance worldwide both for the health burden and the economic impact it produces (Villar et al., 2015). This disease presents an estimated number of infections of approximately 390 million people per year, of the 194 countries currently in the world, 128 are classified as endemic places of the disease (Bhatt et al., 2013). Current literature speaks of the effect of various social, climatic and governmental vulnerabilities revolving around the dynamics of dengue, exacerbating the presence of the disease in many territories globally (Filho et al., 2019; Stewart-Ibarra, 2012; Tipayamongkholgu & Lisakulruk, 2011; Udayanga & Gunathilaka, 2020). Given the above, the increase in the number of cases of this disease represents an important item for the health sector both for vector control and mitigation campaigns, as well as for the care of the disease at the national level, given that both dengue and severe dengue are present in many areas of Colombia. With the increase in the incidence of dengue and its costs in monetary terms and quality of life, this study is motivated, which seeks to establish the influence of social, economic, climatic and municipal, departmental and regional vulnerabilities on the evolution of dengue in the period from January 2015 to December 2020. This research seeks to expose new perspectives on the possible agents related to the occurrence of dengue in the country and areas with similar characteristics in terms of socioeconomic, climate and inequality. Finally, this study will help contribute to areas of knowledge, such as climate change, equity, risk management and health, with the objective of bringing recommendations for decision makers regarding the prioritization of resources and the identification of territories more vulnerable to this condition. Among the reasons that explain the relevance of this study are: - Dengue is a disease that has registered an increase in its prevalence both in Colombia and internationally in recent years. Although Colombia has studies that have evaluated the effect of environmental and social vulnerabilities on health, it is important to identify the joint influence of climatic, socioeconomic, governance and inequity conditions in the occurrence of this condition in Colombia on the frequency of dengue in Colombia and thus establish a characterization of the phenomenon closer to reality, taking into account the interactions present between climatic, environmental, social, economic and equity dimensions, in order to identify the vulnerabilities that can be addressed more efficiently. - The study would allow to outline the influence of the mentioned vulnerabilities that affect the frequency of dengue and to carry out in this academic exercise a risk map at municipal and departmental level given these vulnerabilities of the population in our environment that seek to stop the advance of dengue in Colombia. - This study will generate information that can subsequently generate an adequate approach to prevention and counseling for decision-makers and thus to know the territories with the highest risk of acquiring this disease in the Colombian context, given the vulnerabilities present.application/pdfengspaAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/Acceso abiertohttps://purl.org/coar/access_right/c_abf2http://purl.org/coar/access_right/c_abf2DengueVulnerabilidadÍndice compuestoClimaCondiciones sociodemograficasGAMDengue feverVulnerabilityComposite indexClimateSocio-demographic conditionsGAMWA 100Impacto de las vulnerabilidades economicas, sociales, climática y de desigualdad en la frecuencia de dengue en Colombia entre los años 2015 a 2020Impact of economic, social, climate and inequality vulnerabilities on the frequency of dengue in Colombia between 2015 and 2020Doctorado en Salud PúblicaUniversidad El BosqueFacultad de MedicinaTesis/Trabajo de grado - Monografía - Doctoradohttps://purl.org/coar/resource_type/c_db06http://purl.org/coar/resource_type/c_db06info:eu-repo/semantics/doctoralThesishttps://purl.org/coar/version/c_ab4af688f83e57aaAbdul Wahid, N. A., Suhaila, J., & Rahman, H. A. (2021). Effect of climate factors on the incidence of hand, foot, and mouth disease in Malaysia: A generalized additive mixed model. Infectious Disease Modelling, 6, 997–1008. https://doi.org/10.1016/j.idm.2021.08.003Acevedo, N., Waggoner, J., Rodriguez, M., Rivera, L., Landivar, J., Pinsky, B., & Zambrano, H. (2017). Zika Virus, Chikungunya Virus, and Dengue Virus in Cerebrospinal Fluid from Adults with Neurological Manifestations, Guayaquil, Ecuador. Frontiers in Microbiology, 8. https://doi.org/10.3389/fmicb.2017.00042Akter, R., Hu, W., Naish, S., Banu, S., & Tong, S. (2017). Joint effects of climate variability and socioecological factors on dengue transmission: epidemiological evidence. Tropical Medicine and International Health, 22(6), 656–669. https://doi.org/10.1111/tmi.12868Akter, R., Naish, S., Gatton, M., Bambrick, H., Hu, W., & Tong, S. (2019). Spatial and temporal analysis of dengue infections in Queensland, Australia: Recent trend and perspectives. PLoS ONE, 14(7). https://doi.org/10.1371/journal.pone.0220134Almiron, W. R., Gurtler, R. E., Coto, H., Eiman, M., & Victoria, M. (2009). Protocolo de acciones de control de Aedes aegypti. 1–60.Alto, B. W., & Bettinardi, D. (2013). Temperature and dengue virus infection in mosquitoes: Independent effects on the immature and adult stages. American Journal of Tropical Medicine and Hygiene, 88(3), 497–505. https://doi.org/10.4269/ajtmh.12-0421Anbarci, N., Escaleras, M., & Register, C. A. (2009). The ill effects of public sector corruption in the water and sanitation sector. Land Economics, 85(2), 363–377. https://doi.org/10.3368/le.85.2.363Anguiano M, Aguayo L, Álvarez L, Torres O, L. E. (2011). Estrategia estatal de combate al dengue en Colima. Medicina Interna de México, 27(2), 131–140.Ann, H., & Swedlund, A. C. (2004). Plagues and Epidemics: Infected Spaces Past and Present.Araujo González, R. (2015). Vulnerabilidad y riesgo en salud: ¿dos conceptos concomitantes? Vulnerability and health risk: two concomitant concepts? Novedades En Población, 210(210), 89–96.Arredondo García, J. L., Méndez-Herrera, A., & Medina-Cortina, H. (2016). Arbovirus en Latinoamérica. Acta Pediatr Mex, 37(2), 111–131.Åström, C., Rocklöv, J., Hales, S., Béguin, A., Louis, V., & Sauerborn, R. (2012). Potential distribution of dengue fever under scenarios of climate change and economic development. EcoHealth, 9(4), 448–454. https://doi.org/10.1007/s10393-012-0808-0Atique, S., Abdul, S. S., Hsu, C. Y., & Chuang, T. W. (2016a). Meteorological influences on dengue transmission in Pakistan. Asian Pacific Journal of Tropical Medicine, 9(10), 954–961. https://doi.org/10.1016/j.apjtm.2016.07.033Atique, S., Abdul, S. S., Hsu, C. Y., & Chuang, T. W. (2016b). Meteorological influences on dengue transmission in Pakistan. Asian Pacific Journal of Tropical Medicine, 9(10), 954–961. https://doi.org/10.1016/j.apjtm.2016.07.033Ballester, F., & Sunyer, J. (2000). Drinking water and gastrointestinal disease: Need of better understanding and an improvement in public health surveillance. Journal of Epidemiology and Community Health, 54(1), 3–5. https://doi.org/10.1136/jech.54.1.3Banco de la República. (2022). Banco de la República. Banrep.Gov.Co. https://www.banrep.gov.co/esBaquero, O. S., Santana, L. M. R., & Chiaravalloti-Neto, F. (2018). Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models. PLoS ONE, 13(4). https://doi.org/10.1371/journal.pone.0195065Barclay, E. (2008). Is climate change affecting dengue in the Americas? Lancet, 371(9617), 973–974. https://doi.org/10.1016/S0140-6736(08)60435-3Bardach, A. E., García-Perdomo, H. A., Alcaraz, A., Tapia López, E., Gándara, R. A. R., Ruvinsky, S., & Ciapponi, A. (2019). Interventions for the control of Aedes aegypti in Latin America and the Caribbean: systematic review and meta-analysis. In Tropical Medicine and International Health. https://doi.org/10.1111/tmi.13217Barrera, R., Delgado, N., Jimenez, M., Romero, I., & Villalobos, I. (2000). Estratificacion de una ciudad hiperendemica en dengue hemorragico. Revista Panamericana de Salud Publica/Pan American Journal of Public Health, 8(4), 225–233.Barrera, R., Navarro, J. C., Mora Rodriguez, J. D., Dominguez, D., & Gonzalez Garcia, J. E. (1995). Deficiencia en servicios publicos y cria de Aedes aegypti en Venezuela. Boletin - Oficina Sanitaria Panamericana, 118(5), 410–423.Bavia, L., Melanda, F. N., de Arruda, T. B., Mosimann, A. L. P., Silveira, G. F., Aoki, M. N., Kuczera, D., Sarzi, M. Lo, Junior, W. L. C., Conchon-Costa, I., Pavanelli, W. R., Duarte dos Santos, C. N., Barreto, R. C., & Bordignon, J. (2020). Epidemiological study on dengue in southern Brazil under the perspective of climate and poverty. Scientific Reports, 10(1), 1–16. https://doi.org/10.1038/s41598-020-58542-1Berberiana, G., Rosanovaa, M. T., Berberian, G., & Rosanova, M. T. (2012). Impacto del cambio climático en las enfermedades infecciosas. Archivos Argentinos de Pediatria, 110(1), 39–45. https://doi.org/10.5546/aap.2012.39Bhatt, S., Gething, P. W., Brady, O. J., Messina, J. P., Farlow, A. W., Moyes, C. L., Drake, J. M., Brownstein, J. S., Hoen, A. G., Sankoh, O., Myers, M. F., George, D. B., Jaenisch, T., Wint, G. R. W., Simmons, C. P., Scott, T. W., Farrar, J. J., Hay, S. I., William Wint, G. R., … Hay, S. I. (2013). The global distribution and burden of dengue. Nature, 496(7446), 504–507. https://doi.org/10.1038/nature12060Bonifay, T., Douine, M., Bonnefoy, C., Hurpeau, B., Nacher, M., Djossou, F., & Epelboin, L. (2017). Poverty and Arbovirus Outbreaks: When Chikungunya Virus Hits More Precarious Populations Than Dengue Virus in French Guiana. Open Forum Infectious Diseases, 4(4). https://doi.org/10.1093/ofid/ofx247Brady, O. J., Gething, P. W., Bhatt, S., Messina, J. P., Brownstein, J. S., Hoen, A. G., Moyes, C. L., Farlow, A. W., Scott, T. W., & Hay, S. I. (2012). Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus. PLoS Neglected Tropical Diseases, 6(8), e1760. https://doi.org/10.1371/journal.pntd.0001760Braks, M. A. H., Honório, N. A., Lourenço-De-Oliveira, R., Juliano, S. A., & Lounibos, L. P. (2003). Convergent Habitat Segregation of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in Southeastern Brazil and Florida. Journal of Medical Entomology, 40(6), 785–794. https://doi.org/10.1603/0022-2585-40.6.785Briguglio, L., Cordina, G., Farrugia, N., & Vella, S. (2009). Economic vulnerability and resilience: Concepts and measurements. Oxford Development Studies, 37(3), 229–247. https://doi.org/10.1080/13600810903089893Cabezas, C., García, M. P., Valle, J., Yañez, P., Fachin, L., Sinti, C., & Mamani, E. (2015). Transmisión vertical del virus del dengue en el Perú. Rev Peru Med Exp Salud Pública, 32(1), 191–204. https://doi.org/10.1089/vbz.2008.0069.3.Cabrera, M., Leake, J., Naranjo-Torres, J., Valero, N., Cabrera, J. C., & Rodríguez-Morales, A. J. (2022). Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review. In Tropical Medicine and Infectious Disease (Vol. 7, Issue 10). MDPI. https://doi.org/10.3390/tropicalmed7100322Cabrera, M., & Taylor, G. (2019). Modelling spatio-temporal data of dengue fever using generalized additive mixed models. Spatial and Spatio-Temporal Epidemiology, 28(2019), 1–13. https://doi.org/10.1016/j.sste.2018.11.006Campos-Vargas, M., Toscana-Aparicio, A., & Campos Alanís, J. (2015). Riesgos socionaturales: vulnerabilidad socioeconómica, justicia ambiental y justicia espacial. Cuadernos de Geografía: Revista Colombiana de Geografía, 24(2), 53–69. https://doi.org/10.15446/rcdg.v24n2.50207Canela Aguayo, M. (2007). Confusión e interacción (1): Qué son, qué suponen y cómo manejarlas en el análisis estratificado. Huelva: Fundación Andaluza Beturia Para La Investigación En Salud, 1, 1–8.Canela Aguayo, M., & Monge E, L. (2007). Confusión e interacción (2): su abordaje en el análisis multivariante. Huelva: Fundación Andaluza Beturia Para La Investigación En Salud, 2, 1–9.Casas, I., & Delmelle, E. (2019). Landscapes of healthcare utilization during a dengue fever outbreak in an urban environment of Colombia. Environmental Monitoring and Assessment, 191. https://doi.org/10.1007/s10661-019-7415-2Castrillón J, Castaño J, U. S. (2015). Dengue en Colombia: diez años de evolución. Revista Chilena Infectología, 32(2), 142–149.Castro Durán, L. I., & Cano González, R. (2013). Pobreza y vulnerabilidad. Factores de riesgo en el proceso educativo. Contextos Educativos. Revista de Educación, 0(16), 55. https://doi.org/10.18172/con.1290Center for Disease Control and Prevention. (2012). Life Cycle: Aedes aegypti. In Centers for Disease Control and Prevention.Center for Disease Control and Prevention. (2019). Dengue. https://www.cdc.gov/dengue/epidemiology/index.htmlChang, A. Y., Fuller, D. O., Carrasquillo, O., & Beier, J. C. (2014). Social justice, climate change, and dengue. Health and Human Rights, 16(1), 93–104.Chien, L. C., & Yu, H. L. (2014). Impact of meteorological factors on the spatiotemporal patterns of dengue fever incidence. Environment International, 73, 46–56. https://doi.org/10.1016/j.envint.2014.06.018Clements, A. N. (1992). The biology of mosquitoes. Volume 1. Development, nutrition and reproduction. Chapman & Hall.Colón-González, F. J., Fezzi, C., Lake, I. R., & Hunter, P. R. (2013). The Effects of Weather and Climate Change on Dengue. PLoS Neglected Tropical Diseases, 7(11). https://doi.org/10.1371/journal.pntd.0002503Correa Martínez, L., Cabrera Morales, C., Martínez Licor, M., & Martínez Núñez, M. (2016). Consideraciones clínicas y terapéuticas sobre el dengue. Correo Científico Médico, 20(1), 80–97.Cucunawangsih, & Lugito, N. P. H. (2017). Trends of dengue disease epidemiology. In Virology: Research and Treatment (Vol. 8, p. 1178122X17695836). SAGE Publications. https://doi.org/10.1177/1178122X17695836Cummings, D. A. T., Schwartz, I. B., Billings, L., Shaw, L. B., & Burke, D. S. (2005). Dynamic effects of antibody-dependent enhancement on the fitness of viruses. Proceedings of the National Academy of Sciences of the United States of America, 102(42), 15259–15264. https://doi.org/10.1073/pnas.0507320102Da Conceição Araújo, D., Dos Santos, A. D., Lima, S. V. M. A., Vaez, A. C., Cunha, J. O., & Conceição Gomes Machado de Araújo, K. (2020). Determining the association between dengue and social inequality factors in north-eastern Brazil: A spatial modelling. Geospatial Health, 15(1). https://doi.org/10.4081/gh.2020.854Da Costa, C. F., Dos Passos, R. A., Lima, J. B. P., Roque, R. A., De Souza Sampaio, V., Campolina, T. B., Secundino, N. F. C., & Pimenta, P. F. P. (2017). Transovarial transmission of DENV in Aedes aegypti in the Amazon basin: a local model of xenomonitoring. Parasites and Vectors, 10(1), 1–9. https://doi.org/10.1186/s13071-017-2194-5da Silva Oliveira, L. N., Itria, A., & Lima, E. C. (2019). Cost of illness and program of dengue: A systematic review. PLoS ONE, 14(2), e0211401. https://doi.org/10.1371/journal.pone.0211401DANE: Departamento Administrativo Nacional de Estadísticas. (2009). Proyecciones nacionales y departamentales 2005-2020.De Castro, D. B., Sampaio, V. S., De Albuquerque, B. C., Pinto, R. C., Sadahiro, M., Dos Passos, R. A., Da Costa, C. F., & Braga, J. U. (2018). Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010-2011. BMC Public Health, 18(1). https://doi.org/10.1186/s12889-018-5251-xDe La Hoz, F., Enrique, M., Duran, M., Vigilancia, D., Del Riesgo En, A., Pública, S., Pacheco García, O. E., Análisis, S., Riesgo, D., Inmediata, R., Salud, E., Documento, P., Por, E., Zambrano, P., María, M., & Reyes, M. (2014). Protocolo de Vigilancia en Salud Pública: Dengue.de Salazar, L. M., & Villar Luján, R. C. (2018). Globalization and health inequities in latin America. https://doi.org/10.1007/9783319672922Delatte, H., Gimonneau, G., Triboire, A., & Fontenille, D. (2009). Influence of Temperature on Immature Development, Survival, Longevity, Fecundity, and Gonotrophic Cycles of Aedes albopictus , Vector of Chikungunya and Dengue in the Indian Ocean. Journal of Medical Entomology, 46(1), 33–41. https://doi.org/10.1603/033.046.0105Delmelle, E., Hagenlocher, M., Kienberger, S., & Casas, I. (2016). A spatial model of socioeconomic and environmental determinants of dengue fever in Cali, Colombia. Acta Tropica, 164, 169–176. https://doi.org/10.1016/j.actatropica.2016.08.028Departamento Administrativo Nacional de Estadistica. (2005). DANE. https://www.dane.gov.co/Departamento Administrativo Nacional de Estadistica. (2020). Geoportal DANE. Bogotá. https://geoportal.dane.gov.co/#gsc.tab=0Departamento de Planeación Nacional. (2021). Medición de Desempeño Municipal [Municipal Performance Measurement] (Vol. 5). DNP.Departamento Nacional de Planeación. (2015). Índice de Vulnerabilidad Territorial: Resultados 2008-2012. Dirección de Justitica, Seguridad y Gobierno, 1–32.Díaz Caravantes, R. E. (2018). Vulnerabilidad y riesgo como conceptos indisociables para el estudio del impacto del cambio climático en la salud. Región Y Sociedad, 30(73). https://doi.org/10.22198/rys.2018.73.a968Diaz-Quijano, F. A., Martínez-Vega, R. A., Rodriguez-Morales, A. J., Rojas-Calero, R. A., Luna-González, M. L., & Díaz-Quijano, R. G. (2018). Association between the level of education and knowledge, attitudes and practices regarding dengue in the Caribbean region of Colombia. BMC Public Health, 18(1), 1–10. https://doi.org/10.1186/s12889-018-5055-zDick, O. B., San Martín, J. L., Montoya, R. H., Del Diego, J., Zambrano, B., & Dayan, G. H. (2012). Review: The history of dengue outbreaks in the Americas. American Journal of Tropical Medicine and Hygiene, 87(4), 584–593. https://doi.org/10.4269/ajtmh.2012.11-0770Durán Gil, C. A. (2017). Análisis espacial de las condiciones de vulnerabilidad social, económica, física y ambiental en el territorio colombiano. Perspectiva Geográfica, 22(1), 11–32. https://doi.org/10.19053/01233769.5956Eakin, H., & Luers, A. L. (2006). Assessing the Vulnerability of Social-Environmental Systems. Annual Review of Environment and Resources, 31(1), 365–394. https://doi.org/10.1146/annurev.energy.30.050504.144352Ebi, K. L., & Nealon, J. (2016). Dengue in a changing climate. Environmental Research, 151, 115–123. https://doi.org/10.1016/j.envres.2016.07.026Escobar-Mesa, J., & Gómez-Dantés, H. (2003). Determinantes de la transmisión de dengue en Veracruz: Un abordaje ecológico para su control. Salud Publica de Mexico, 45(1), 43–53. https://doi.org/10.1590/S0036-36342003000100006Estrada-Franco, J. (1995). Biology, disease relationships, and control of Aedes albopictus. In PAHO Library.Farinelli, E. C., Baquero, O. S., Stephan, C., & Chiaravalloti-Neto, F. (2018). Low socioeconomic condition and the risk of dengue fever: A direct relationship. Acta Tropica, 180, 47–57. https://doi.org/10.1016/j.actatropica.2018.01.005Farmer, P. (1996). Social Inequalities and Emerging Infectious Diseases. Emerging Infectious Diseases, 2(4), 259–269. https://doi.org/10.3201/eid0204.960402Feingeblatt, H. (2019). Los costos sociales de la corrupción. In PEN/CPONARE.Feito, L. (2008). Vulnerabilidad. Anales Del Sistema Sanitario de Navarra, 30(0), 7–22.Ferreira, A. C., Chiaravalloti Neto, F., & Mondini, A. (2018). Dengue em Araraquara, SP: epidemiologia, clima e infestação por Aedes aegypti. Revista de Saúde Pública, 52, 1–10. https://doi.org/10.11606/S1518-8787.2018052000414Filho, W. L., Scheday, S., Boenecke, J., Gogoi, A., Maharaj, A., & Korovou, S. (2019). Climate Change, Health and Mosquito-Borne Diseases: Trends and Implications to the Pacific Region. International Journal of Environmental Research and Public Health, 16(24). https://doi.org/10.3390/ijerph16245114Forattini, O. P. (1986). Identification of Aedes (Stegomyia) albopictus (Skuse) in Brazil. Revista de Saude Publica, 20(3), 244–245. https://doi.org/10.1590/S0034-89101986000300009Fouque, F., & Reeder, J. C. (2019). Impact of past and on-going changes on climate and weather on vector-borne diseases transmission: A look at the evidence. Infectious Diseases of Poverty, 8(1), 1–9. https://doi.org/10.1186/s40249-019-0565-1Frenk, J., & Gómez-Dantés, O. (2007). La globalización y la nueva salud pública. Salud Publica de Mexico, 49(2), 156–164. https://doi.org/10.1590/s0036-36342007000200011Frenk, J., Gómez-Dantés, O., & Knaul, F. M. (2004). Globalization and infectious diseases: A review of the linkages. In Programme for Research and Training in Tropical Diseases. https://doi.org/10.1016/j.idc.2011.05.003Fritzsche, K., Schneiderbauer, S., Bubeck, P., Kienberger, S., Buth, M., Zebisch, M., & Kahlenborn, W. (2017). The Vulnerability Sourcebook Concept and guidelines for standardised vulnerability assessments (Adelphi, Ed.; 1°, Issue November). adelphi consult.Gama, Z. P., & Nakagoshi, N. (2013). Climatic Variability and Dengue Haemaorrhagic Fever Incidence in Nganjuk District , East Java , Indonesia. Acta Biologica Malaysiana, 2(1), 31–39. https://doi.org/10.7593/abm/2.1.31GIZ-Deutsche Gesellschaft für Internationale Zusammenarbeit. (2013). Vulnerability Assessments: Experiences of GIZ with Vulnerability Assessments at the local level (Vol. 1). Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH.Global Burden of Disease data visualiation, I. for H. M. and. (2015). GBD Compare | IHME Viz Hub. Global Burden of Disease. https://doi.org/http://ihmeuw.org/3pgzGomes, A. F., Nobre, A. A., & Cruz, O. G. (2012). Temporal analysis of the relationship between dengue and meteorological variables in the city of Rio de Janeiro, Brazil, 2001-2009. Cadernos de Saúde Pública, 28(11), 2189–2197. https://doi.org/10.1590/s0102-311x2012001100018Gómez Gómez, R. E., Kim, J., Hong, K., Jang, J. Y., Kisiju, T., Kim, S., & Chun, B. C. (2022). Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model. International Journal of Environmental Research and Public Health, 19(19). https://doi.org/10.3390/ijerph191912192Gratz, N. G. (2004). Critical review of the vector status of Aedes albopictus. In Medical and Veterinary Entomology (Vol. 18, Issue 3, pp. 215–227). https://doi.org/10.1111/j.0269-283X.2004.00513.xGraycar, A. (2015). Corruption: Classification and analysis. Policy and Society, 34(2), 87–96. https://doi.org/10.1016/j.polsoc.2015.04.001Greenpeace. (2009). Cambio Climático: Futuro negro para los páramos.Groth, D., Hartmann, S., Klie, S., & Selbig, J. (2013). Principal components analysis. Methods in Molecular Biology (Clifton, N.J.), 930, 527–547. https://doi.org/10.1007/978-1-62703-059-5_22Guo, C., Zhou, Z., Wen, Z., Liu, Y., Zeng, C., Xiao, D., Ou, M., Han, Y., Huang, S., Liu, D., Ye, X., Zou, X., Wu, J., Wang, H., Zeng, E. Y., Jing, C., & Yang, G. (2017). Global Epidemiology of Dengue Outbreaks in 1990–2015: A Systematic Review and Meta-Analysis. Frontiers in Cellular and InfectionGupta, S., Davoodi, H. R., Alonso Terme, R. M., International Monetary Fund, & International Monetary Fund. Fiscal Affairs Department. (1998). Does Corruption Affect Income Inequality and Poverty? IMF Working Papers, 98(76), 1. https://doi.org/10.5089/9781451849844.001Gutierrez-Barbosa, H., Medina-Moreno, S., Zapata, J. C., & Chua, J. V. (2020). Dengue Infections in Colombia: Epidemiological Trends of a Hyperendemic Country. Tropical Medicine and Infectious Disease, 5(4), 156. https://doi.org/10.3390/tropicalmed5040156Hagenlocher, M., Delmelle, E., Casas, I., & Kienberger, S. (2013). Assessing socioeconomic vulnerability to dengue fever in Cali, Colombia: Statistical vs expert-based modeling. International Journal of Health Geographics, 12(1), 1. https://doi.org/10.1186/1476-072X-12-36Hales, S., de Wet, N., Maindonald, J., & Woodward, A. (2002). Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. Lancet (London, England), 360(9336), 830–834. https://doi.org/10.1016/S0140-6736(02)09964-6Harbach, R. (2020). Culicidae Classification. Mosquito Taxonomic Inventory. http://mosquito-taxonomic-inventory.info/simpletaxonomy/term/6045Hawley, W. A. (1988). The biology of Aedes albopictus. Journal of the American Mosquito Control Association. Supplement, 1, 1–39.Heintze, C., Garrido, M. V., & Kroeger, A. (2007). What do community-based dengue control programmes achieve? A systematic review of published evaluations. In Transactions of the Royal Society of Tropical Medicine and Hygiene (Vol. 101, Issue 4, pp. 317–325). No longer published by Elsevier. https://doi.org/10.1016/j.trstmh.2006.08.007Hilarión-Gaitán, L., Díaz-Jiménez, D., Cotes-Cantillo, K., & Castañeda-Orjuela, C. (2019). Desigualdades en salud según régimen de afiliación y eventos notificados al Sistema de Vigilancia (Sivigila) en Colombia, 2015. Biomédica, 39(4), 737–747. https://doi.org/10.7705/biomedica.4453Hopp, M., & Foley, J. (2001). Global-scale relationships between climate and the dengue fever vector, Aedes Aegypti. Climatic Change, 103(3), 239–248. https://doi.org/: 10.1023/A:1010717502442Huynh, L. T. M., & Stringer, L. C. (2018). Multi-scale assessment of social vulnerability to climate change: An empirical study in coastal Vietnam. Climate Risk Management, 20(February), 165–180. https://doi.org/10.1016/j.crm.2018.02.003Instituto Nacional de Salud. (2020). Boletín Epidemiológico Semana: semana epidemiologica 38.Instituto Nacional de Salud (Colombia). (2023). Portal Sivigila. https://portalsivigila.ins.gov.co/ITEP, European Union, & Transparencia por Colombia. (2017). Índice de Transparencia Municipal [Municipal Transparency Index] (Vol. 17). Corporación Transparencia por Colombia.Jain, R. (2019). Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data. BMCInfectious Diseases, 19(272), 1–16.Jaworeck, S. (2022). A New Approach for Constructing a Health Care Index including the Subjective Level. International Journal of Environmental Research and Public Health, 19(15), 9686. https://doi.org/10.3390/ijerph19159686Jiménez, B., Lopardo, R., Bacchiega, J., Higa, L., Urquidi’barrau, F., Tundisi, J., Tucci, C., Rosadospilki, F., Hespanhol, I., Cirilo, J., Scheuenstuhl, M., Periotto, N., Ormeci, B., & D´andrea, J. (2015). Urban water challenges in The Americas. A perspective from the Academies of Sciences. In OECD Observer.Joa, D. (2005). Efectos del cambio climático sobre la salud: dengue y malaria. 1–3.Johansen, I. C., Do Carmo, R. L., Alves, L. C., & Dias Bueno, M. D. C. (2018). Environmental and demographic determinants of dengue incidence in Brazil. Revista de Salud Publica, 20(3), 346–351. https://doi.org/10.15446/rsap.v20n3.54315Jubeh, G., & Mimi, Z. (2012). Governance and Climate Vulnerability Index. Water Resources Management, 26(14), 4147–4162. https://doi.org/10.1007/s11269-012-0137-7Juliano, S. A., Lounibos, L. P., Sierra, H., Cordova, M., Chen, C.-S. J., & Rajadhyaksha, M. (2005). Ecology of invasive mosquitoes: effects on resident species and on human health. Ecology Letters, 8(5), 558–574. https://doi.org/10.1111/j.1461-0248.2005.00755Karim, M. N., Munshi, S. U., Anwar, N., & Alam, M. S. (2012). Climatic factors influencing dengue cases in Dhaka city: A model for dengue prediction. The Indian Journal of Medical Research, 136(1), 32. https://doi.org/10.1016/j.ijid.2018.04.3862Karl, S., Halder, N., Kelso, J. K., Ritchie, S. A., & Milne, G. J. (2014). A spatial simulation model for dengue virus infection in urban areas. BMC Infectious Diseases, 14(1), 1–17. https://doi.org/10.1186/1471-2334-14-447Kavanagh, M. M., & Chen, L. (2019). Governance and health aid from the global fund: Effects beyond fighting disease. Annals of Global Health, 85(1), 1–9. https://doi.org/10.5334/aogh.2505Keating, J. (2001). An investigation into the cyclical incidence of dengue fever. Social Science & Medicine (1982), 53(12), 1587–1597Kelly, P. M., & Adger, W. N. (2000). Theory and practice in assessing vulnerability to climate change and facilitating adaptation. Climatic Change, 47(4), 325–352. https://doi.org/10.1023/A:1005627828199Kloog, I., Novack, L., Erez, O., Just, A. C., & Raz, R. (2018). Associations between ambient air temperature, low birth weight and small for gestational age in term neonates in southern Israel. Environmental Health : A Global Access Science Source, 17(1), 76. https://doi.org/10.1186/s12940-018-0420-zKnudsen, A. B., & Slooff, R. (1992). Vector-borne disease problems in rapid urbanization: New approaches to vector control. Bulletin of the World Health Organization, 70(1), 1–6.Kong, L., Wang, J., Li, Z., Lai, S., Liu, Q., Wu, H., & Yang, W. (2018). Modeling the heterogeneity of dengue transmission in a city. International Journal of Environmental Research and Public Health, 15(6), 1–21. https://doi.org/10.3390/ijerph15061128Kourí Flores, G., Pelegrino, J. L., Munster, B. M., & Guzmán, M. G. (2007). Sociedad, economía, inequidades y dengue. Revista Cubana de Medicina Tropical, 59(3), 177–185.Kourí, G. (2006). El dengue, un problema creciente de salud en las Américas. Revista Panamericana de Salud Pública = Pan American Journal of Public Health., 19(3), 143–145. https://doi.org/10.1590/s1020-49892006000300001Kovats, S., Ebi, K. L., & Menne, B. (2003). Methods of assessing human health vulnerability and public health adaptation to climate change. 1.Kraemer, M. U. G., Sinka, M. E., Duda, K. A., Mylne, A. Q. N., Shearer, F. M., Barker, C. M., Moore, C. G., Carvalho, R. G., Coelho, G. E., Van Bortel, W., Hendrickx, G., Schaffner, F., Elyazar, I. R., Teng, H.-J., Brady, O. J., Messina, J. P., Pigott, D. M., Scott, T. W., Smith, D. L., … Hay, S. I. (2015). The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. ELife, 4(JUNE2015), 1–18. https://doi.org/10.7554/eLife.08347Kuhn K, Campbell-Lendrum D, Haines A, Cox J, et al. (2005). Using climate to predict infectious disease epidemics.Lai, Y. H. (2018). The climatic factors affecting dengue fever outbreaks in southern Taiwan: An application of symbolic data analysis. BioMedical Engineering Online, 17(s2), 1–14. https://doi.org/10.1186/s12938-018-0575-4Laserna, A., Barahona-Correa, J., Baquero, L., Castañeda-Cardona, C., & Rosselli, D. (2018). Economic impact of dengue fever in Latin America and the Caribbean: a systematic review. Revista Panamericana de Salud Pública, 42. https://doi.org/10.26633/rpsp.2018.111Lee, J.-S., & Farlow, A. (2019). The threat of climate change to non-dengue-endemic countries: increasing risk of dengue transmission potential using climate and non-climate datasets. BMC Public Health, 19(1), 1–7. https://doi.org/10.1186/s12889-019-7282-3Lee, S. H., Nam, K. W., Jeong, J. Y., Yoo, S. J., Koh, Y. S., Lee, S., Heo, S. T., Seong, S. Y., & Lee, K. H. (2013). The Effects of Climate Change and Globalization on Mosquito Vectors: Evidence from Jeju Island, South Korea on the Potential for Asian Tiger Mosquito (Aedes albopictus) Influxes and Survival from Vietnam Rather Than Japan. PLoS ONE, 8(7), 1–11. https://doi.org/10.1371/journal.pone.0068512Lewis, J. (2017). Social impacts of corruption upon community resilience and poverty. Jamba: Journal of Disaster Risk Studies, 9(1), 1–8. https://doi.org/10.4102/jamba.v9i1.391Li, C., Lu, Y., Liu, J., & Wu, X. (2018). Climate change and dengue fever transmission in China: Evidences and challenges. Science of the Total Environment, 622–623(19), 493–501. https://doi.org/10.1016/j.scitotenv.2017.11.326Li, C. X., Guo, X. X., Deng, Y. Q., Xing, D., Sun, A. J., Liu, Q. M., Wu, Q., Dong, Y. De, Zhang, Y. M., Zhang, H. D., Cao, W. C., Qin, C. F., & Zhao, T. Y. (2017). Vector competence and transovarial transmission of two Aedes aegypti strains to Zika virus. Emerging Microbes and Infections, 6(4). https://doi.org/10.1038/emi.2017.8Lippi, C. A., Stewart-Ibarra, A. M., Muñoz, Á. G., Borbor-Cordova, M. J., Mejía, R., Rivero, K., Castillo, K., Cárdenas, W. B., & Ryan, S. J. (2018). The social and spatial ecology of dengue presence and burden during an outbreak in Guayaquil, Ecuador, 2012. International Journal of Environmental Research and Public Health, 15(4). https://doi.org/10.3390/ijerph15040827Liu, K., Sun, J., Liu, X., Li, R., Wang, Y., Lu, L., Wu, H., Gao, Y., Xu, L., & Liu, Q. (2018). Spatiotemporal patterns and determinants of dengue at county level in China from 2005–2017. International Journal of Infectious Diseases, 77, 96–104. https://doi.org/10.1016/j.ijid.2018.09.003Liverman, D. M. (1990). Vulnerability to Global environmental change. In understanding Global Environmental Change. Journal of Human Ecology, 29(1), 27–55.Lorraine K., A., Lopes, B., Ricchetti-Masterson, K., & Yeatts, K. B. (2015). Cross-sectional Studies.Luky Adrianto, Y. M. (2016). Developing economic vulnerability indices of environmental disasters in small island regions Developing economic vulnerability indices of environmental disasters in small island regions. Impact, Environmental Review, Assessment, 9255(August 2002), 393–414. https://doi.org/10.1016/S0195-9255(02)00012-4Maestre, R. G. D. (2013). Dengue: epidemiología, políticas públicas y resistencia de vectores a insecticidas. Revista de Ciencias Biomédicas, 4(2), 302–317.Mala, S., & Jat, M. K. (2019). Implications of meteorological and physiographical parameters on dengue fever occurrences in Delhi. Science of the Total Environment, 650, 2267–2283. https://doi.org/10.1016/j.scitotenv.2018.09.357Malagón-Rojas, J., Garrote-Wilches, C., & Castilla-Bello, P. (2017). Cambio climático y salud humana: una revisión desde la perspectiva colombiana. SaludUnimorle, 33(2), 224–241.Maldonado, C. E. (2019). La corrupción es flagrate violacion a los derechos humanos. Le Monde Diplomatique, 192, 10–11.Manderson, L., Aagaard-Hansen, J., Allotey, P., Gyapong, M., & Sommerfeld, J. (2009). Social research on neglected diseases of poverty: Continuing and emerging themes. PLoS Neglected Tropical Diseases, 3(2), 1–6. https://doi.org/10.1371/journal.pntd.0000332Manrique-Villanueva, L., & Eslava-Schmalbach, J. (2011). Auscultando la corrupción en la salud: Definición y causas. ¿qué está en juego? Revista Colombiana de Obstetricia y Ginecologia, 62(4), 308–314. https://doi.org/10.18597/rcog.154Marcondes, C. B., Contigiani, M., Gleiser, R. M., & Reisen, W. (2017). Emergent and reemergent arboviruses in South America and the Caribbean: Why so many and why now? Journal of Medical Entomology, 54(3), 509–532. https://doi.org/10.1093/jme/tjw209Márquez Benítez, Y., Cortés Monroy, J. K., Martínez Montenegro, E. G., Peña-García, V. H., & Monroy Díaz, Á. L. (2019). Influencia de la temperatura ambiental en el mosquito Aedes spp y la transmisión del virus del dengue. CES Med, 33(1), 42–50.Martinez, C. D., Machado, G. F., & Concepción, M. R. (1981). Dengue hemorrágico en el niño. ARTIGO.Martinez Nieto, C. (2019). First Case of Sexually Transmitted Dengue in Spain and Europe. https://www.medscape.com/viewarticle/921406Martinez Ruiz, D. M. (2013). Correlación espacial entre la incidencia del dengue y variables climáticas en el valle geográfico del Río Cauca, durante los años 2000 y 2013 (Vol. 53, Issue 9). https://doi.org/10.1017/CBO9781107415324.004Masrani, A. S., Nik Husain, N. R., Musa, K. I., & Yasin, A. S. (2021). Prediction of Dengue Incidence in the Northeast Malaysia Based on Weather Data Using the Generalized Additive Model. BioMed Research International, 2021. https://doi.org/10.1155/2021/3540964Matthews, B. J. (2019). Aedes aegypti. In Trends in Genetics (Vol. 35, Issue 6, pp. 470–471). https://doi.org/10.1016/j.tig.2019.03.005Mejía-Jurado, E., Echeverry-Cárdenas, E., & Aguirre-Obando, O. A. (2024). Potential current and future distribution for Aedes aegypti and Aedes albopictus in Colombia: important disease vectors. Biological Invasions, 26(7), 2119–2137. https://doi.org/10.1007/s10530-024-03298-2Mena, N., Troyo, A., Bonilla-Carrión, R., & Rica, C. (2011). Factores asociados con la incidencia de dengue en Costa Rica. Revista Panamericana De Salud Publica, 29(4), 234–242. https://doi.org/10.1590/S1020-49892011000400004Messina, J. P., Brady, O. J., Pigott, D. M., Golding, N., Kraemer, M. U. G., Scott, T. W., Wint, G. R. W., Smith, D. L., & Hay, S. I. (2015). The many projected futures of dengue. Nature Reviews Microbiology, 13(4), 230–239. https://doi.org/10.1038/nrmicro3430Ministério da Saúde. (2001). Dengue, instruções para Pessoal de Combate ao Vetor. Dengue; Instruções Para Pessoal de Combate Ao Vetor, Manual de Normas Técnicas, 11–13.Ministerio de Salud de la Nación Argentino. (2018). Directrices para la prevencion y control de Aedes aegypti.Ministerio de Salud y Protección Social. (2013). Dengue Memorias. In Ministerio De Proteccion Social.Mirle, K., Uk, M. R. A., Canada, N. G., Gutzler, D., Republic, S. M., Uk, D. M., Germany, T. M., Uk, D. P., & France, A. R. (2013). Detection and Attribution of Climate Change: from Global to Regional.Misslin, R., Telle, O., Daudé, E., Vaguet, A., & Paul, R. E. (2016). Urban climate versus global climate change—what makes the difference for dengue? Annals of the New York Academy of Sciences, 1382(1), 56–72. https://doi.org/10.1111/nyas.13084Monath, T. P. (2019). The Arboviruses: Epidemiology and Ecology. CRC Press.Mora-Salamanca, A. F., Porras-Ramírez, A., & De la Hoz Restrepo, F. P. (2020). Estimating the burden of arboviral diseases in Colombia between 2013 and 2016. International Journal of Infectious Diseases, 97, 81–89. https://doi.org/10.1016/j.ijid.2020.05.051Moreno-Banda, G. L., Riojas-Rodríguez, H., Hurtado-Díaz, M., Danis-Lozano, R., & Rothenberg, S. J. (2017). Effects of climatic and social factors on dengue incidence in Mexican municipalities in the state of Veracruz. Salud Publica de Mexico, 59(1), 41–52. https://doi.org/10.21149/8414Morin CW, Comrie AC, E. KC. (2013). Climate and dengue transmission: evidence and implications. Environ Health Perspective, 121, 1264–1272Mousson, L., Dauga, C., Garrigues, T., Schaffner, F., Vazeille, M., & Failloux, A. B. (2005). Phylogeography of Aedes (Stegomyia) aegypti (L.) and Aedes (Stegomyia) albopictus (Skuse) (Diptera: Culicidae) based on mitochondrial DNA variations. Genetical Research, 86(1), 1–11. https://doi.org/10.1017/S0016672305007627MPS, & Salamanca M, Soto B, Urquijo L, Gómez A, P. J. (2011). Gestión para la vigilancia entomológica y control de la transmisión de dengueMullei, A., & Growth, A. C. for E. (2000). The link between corruption and poverty: lessons from Kenya case studies. African Centre for Economic GrowthMulligan, K., Dixon, J., Joanna Sinn, C.-L., & Elliott, S. J. (2014). Is dengue a disease of poverty? A systematic review. Pathogens and Global Health, 109(1), 10–18. https://doi.org/10.1179/2047773214y.0000000168Muñoz Cano, P. L. (2014). La corrupción y la ineficiencia en el gasto público local y su impacto en la pobreza en Colombia. Coyuntura Económica: Investigación Económica y Social, XLIV(1), 121–172.Mustafa, M. S., Rasotgi, V., Jain, S., & Gupta, V. (2015). Discovery of fifth serotype of dengue virus (denv-5): A new public health dilemma in dengue control. Medical Journal Armed Forces India, 71(1), 67–70. https://doi.org/10.1016/j.mjafi.2014.09.011Naish, S., Dale, P., Mackenzie, J. S., McBride, J., Mengersen, K., & Tong, S. (2014). Climate change and dengue: A critical and systematic review of quantitative modelling approaches. BMC Infectious Diseases, 14(1), 167. https://doi.org/10.1186/1471-2334-14-167Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffman, A., & Giovannini, E. (2005). Handbook on constructing composite indicators: Methodology and user guide. In OECD Statistics Working Papers (Issue 03). http://www.oecd-ilibrary.org/docserver/download/5lgmz9dkcdg4.pdf?expires=1471336777&id=id&accname=guest&checksum=158391DADFA324416BB9015F3E4109AFNegin, V., Rashid, Z. A., & Nikopour, H. (2010). The causal relationship between corruption and poverty: a panel data analysis. 24871, 14.Nejat, A., Monica, E., & Register, C. A. (2007). Collective (In)Action and Corruption: Access to Improved Water and Sanitation. RePEc, May 2014, 31.Ng, V., Rees, E., Lindsay, R., Drebot, M., Brownstone, T., Sadeghieh, T., & Khan, S. (2019). Could exotic mosquito-borne diseases emerge in Canada with climate change? Canada Communicable Disease Report, 45(4), 98–107. https://doi.org/10.14745/ccdr.v45i04a04Nguyen, L. T., Le, H. X., Nguyen, D. T., Ho, H. Q., & Chuang, T. W. (2020). Impact of climate variability and abundance of mosquitoes on dengue transmission in central Vietnam. International Journal of Environmental Research and Public Health, 17(7). https://doi.org/10.3390/ijerph17072453NOAA. (2018). Climate Prediction Center. National Weather Service. https://origin.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.phpNuñez, J. R. (2015). Colombia: un país altamente vulnerable al cambio climático. Aibi Revista de Investigación, Administración e Ingeniería, 3(2), 1.Ogden, N., & Gachon, P. (2019). Climate change and infectious diseases: What can we expect? Canada Communicable Disease Report, 45(4), 76–80. https://doi.org/10.14745/ccdr.v45i04a01Organización Panamericana de la Salud. (2020). Casos de dengue superan los 1,6 millones en América, lo que pone de relieve la necesidad del control de mosquitos durante la pandemia. News. https://www.paho.org/es/noticias/23-6-2020-casos-dengue-superan-16-millones-america-lo-que-pone-relieve-necesidad-controlOtto, I. M., Reckien, D., Reyer, C. P. O., Marcus, R., Masson, V., Jones, L., Norton, A., & Serdeczny, O. (2017). Social vulnerability to climate change : a review of concepts and evidence. Regional Environmental Change, February. https://doi.org/10.1007/s10113-017-1105-9Otu, A., Ebenso, B., Etokidem, A., & Chukwuekezie, O. (2019). Dengue fever – an update review and implications for Nigeria, and similar countries. African Health Sciences, 19(2), 2000. https://doi.org/10.4314/ahs.v19i2.23Pacheco-coral, A. P. (2016). The role of migration processes in dengue fever occurrence in Colombia : a mixed study approach.Padilla, J. C., Rojas, D. P. P. P., Gómez, R., Padilla JC, Rojas DP, S.-G. R., Padilla, J. C., Rojas, D. P. P. P., Sáenz-Gómez, R., Padilla JC, Rojas DP, S.-G. R., Padilla, J. C., Rojas, D. P. P. P., Gómez, R., Padilla JC, Rojas DP, S.-G. R., Padilla, J. C., Rojas, D. P. P. P., Sáenz-Gómez, R., Padilla JC, Rojas DP, S.-G. R., Padilla, J. C., Rojas, D. P. P. P., Gómez, R., & Padilla JC, Rojas DP, S.-G. R. (2012). Dengue en Colombia: Epidemiología de la reemergencia a la hiperendemia. (First).Perea, N. O., & Callaghan, A. (2017). Pond dyes are Culex mosquito oviposition attractants. PeerJ, 2017(5). https://doi.org/10.7717/peerj.3361Pérez Contreras, I., Alvarado Bravo Krystel, M., Barragán Gonzáles, A., & Velasco Pérez Daniel, A. (2019). Climate Variability and Its Impact on the Incidence by Dengue in Six Endemic States of the Mexican Republic. Journal of Infectious Diseases and Epidemiology, 5(6), 1–7. https://doi.org/10.23937/2474-3658/1510097Persson, A., Rothstein, B., & Teorell, J. (2013). Why anticorruption reforms fail-systemic corruption as a collective action problem. Governance, 26(3), 449–471. https://doi.org/10.1111/j.1468-0491.2012.01604.xPhanitchat, T., Zhao, B., Haque, U., Pientong, C., Ekalaksananan, T., Aromseree, S., Thaewnongiew, K., Fustec, B., Bangs, M. J., Alexander, N., & Overgaard, H. J. (2019). Spatial and temporal patterns of dengue incidence in northeastern Thailand 2006–2016. BMC Infectious Diseases, 19(1), 743. https://doi.org/10.1186/s12879-019-4379-3Piedrahita, L. D., Agudelo Salas, I. Y., Marin, K., Trujillo, A. I., Osorio, J. E., Arboleda-Sanchez, S. O., & Restrepo, B. N. (2018). Risk Factors Associated with Dengue Transmission and Spatial Distribution of High Seroprevalence in Schoolchildren from the Urban Area of Medellin, Colombia. Canadian Journal of Infectious Diseases and Medical Microbiology, 2018. https://doi.org/10.1155/2018/2308095Pino, N., & Wainer, G. (2019). Un Modelo Computacional de la Transmisión del Dengue por Autómatas Celulares. Selecciones Matemáticas, 6(2), 217–224. https://doi.org/10.17268/sel.mat.2019.02.08Pizarro, R. (2001). La vulnerabilidad social y sus desafíos: una mirada desde América Latina estudios estadísticos y prospectivos. In Cepal.Powell, J. R., & Tabachnick, W. J. (2013). History of domestication and spread of Aedes aegypti--a review. Memórias Do Instituto Oswaldo Cruz, 108(August), 11–17. https://doi.org/10.1590/0074-0276130395Pricope, N., Pardo-rodriguez, L., Lopez-carr, D. L., & Barbara, S. (2013). Vulnerability to Climate Change. Oxford Bibliographies, 24. https://doi.org/10.1093/obo/9780199874002-0040Program, W. M. (2018). Preguntas frecuentes World Mosquito Program. http://www.eliminatedengue.com/colombia/preguntas-frecuentes/index/type/Mosquito-aedes-aegyptiProtos. (2016). Metodología de diagnóstico de vulnerabilidad climática.Qu, Y., Shi, X., Wang, Y., Li, R., Lu, L., & Liu, Q. (2018). Effects of socio-economic and environmental factors on the spatial heterogeneity of dengue fever investigated at a fine scale. Geospatial Health, 13(2), 287–297. https://doi.org/10.4081/gh.2018.682Quintero, J., Carrasquilla, G., Suárez, R., González, C., & Olano, V. A. (2009). An ecosystemic approach to evaluating ecological, socioeconomic and group dynamics affecting the prevalence of Aedes aegypti in two Colombian towns. Cadernos de Saude Publica, 25(SUPPL. 1), 93–103. https://doi.org/10.1590/s0102-311x2009001300009Quintero, J., García-Betancourt, T., Caprara, A., Basso, C., Garcia da Rosa, E., Manrique-Saide, P., Coelho, G., Sánchez-Tejeda, G., Dzul-Manzanilla, F., García, D. A., Carrasquilla, G., Alfonso-Sierra, E., Monteiro Vasconcelos Motta, C., Sommerfeld, J., Kroeger, A., García-Betancourt, T., Caprara, A., B., Asso, C., Garcia da Rosa, E., … Monteiro Vasconcelos Motta, C., Sommerfeld, J., Kroeger, A. (2017). Taking innovative vector control interventions in urban Latin America to scale: lessons learnt from multi-country implementation research. Pathogens and Global Health, 111(6), 306–316. https://doi.org/10.1080/20477724.2017.1361563Raude, J., & Setbon, M. (2009). The role of environmental and individual factors in the social epidemiology of chikungunya disease on Mayotte Island. Health and Place, 15(3), 689–699. https://doi.org/10.1016/j.healthplace.2008.10.009Reinhold, J. M., Lazzari, C. R., & Lahondère, C. (2018). Effects of the environmental temperature on Aedes aegypti and Aedes albopictus mosquitoes: A review. Insects, 9(4). https://doi.org/10.3390/insects9040158Rey, J. R., & Lounibos, P. (2015). Ecología de Aedes aegypti y Aedes albopictus en América y transmisión enfermedades. Biomedica, 35(2), 177–185. https://doi.org/10.7705/biomedica.v35i2.Ribeiro, A. F., Marques, G. R. A. M., Voltolini, J. C., & Condino, M. L. F. (2006). Associação entre incidência de dengue e variáveis climáticas. Rev. Saúde Pública, 40, 671–676Rigau-Pérez, J. G., Clark, G. G., Gubler, D. J., Reiter, P., Sanders, E. J., & Vance Vorndam, A. (2017). Dengue and dengue haemorrhagic fever. The Lancet, 352(9132), 971–977. https://doi.org/10.1016/S0140-6736(97)12483-7Rigby, R. A., Stasinopoulos, D. M., & Lane, P. W. (2005). Generalized additive models for location, scale and shape. Journal of the Royal Statistical Society. Series C: Applied Statistics, 54(3), 507–554. https://doi.org/10.1111/j.1467-9876.2005.00510.xRigby, R. A., Stasinopoulos, M. D., Heller, G. Z., & De Bastiani, F. (2019). Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R. CRC Press.Ríos, J. (2004). Aspectos entomológicos del dengue. Infectio, 8(3), 231–236.Robins M. James, M. A. H. (2020). Causal Inference - what if. Foundations of Agnostic Statistics, 235–281.Rohat, G., Monaghan, A., Hayden, M. H., Ryan, S. J., Charrière, E., & Wilhelmi, O. (2020). Intersecting vulnerabilities: climatic and demographic contributions to future population exposure to Aedes -borne viruses in the United States. Environmental Research Letters, 15(8), 084046. https://doi.org/10.1088/1748-9326/ab9141Rose, J. B., Epstein, P. R., Lipp, E. K., Sherman, B. H., Bernard, S. M., & Patz, J. A. (2001). Climate variability and change in the United States: Potential impacts on water and foodborne diseases caused by microbiologic agents. Environmental Health Perspectives, 109(SUPPL. 2), 211–221. https://doi.org/10.2307/3435011Rosen, L. (1987). Sexual transmission of dengue viruses by Aedes albopictus. American Journal of Tropical Medicine and Hygiene, 37(2), 398–402. https://doi.org/10.4269/ajtmh.1987.37.398Rúa-Uribe, G. L., Suárez-Acosta, C. del R., & Rojo, R. A. (2012). Epidemiological implications of Aedes albopictus (Skuse) in Colombia. Rev. Fac. Nac. Salud Pública, 30(3), 328–337.Ruiz Rivera, N. (2012). La definición y medición de la vulnerabilidad social. Un enfoque normativo. Investigaciones Geográficas, 77(10), 63–74. https://doi.org/10.1056/NEJM200103083441015Ruiz-López, F., González-Mazo, A., Vélez-Mira, A., Gómez, G. F., Zuleta, L., Uribe, S., & Vélez-Bernal, I. D. (2016). Presencia de Aedes (Stegomyia) aegypti (Linnaeus, 1762) y su infección natural con el virus del dengue en alturas no registradas para Colombia. Biomédica, 36(2), 303. https://doi.org/10.7705/biomedica.v36i2.3301Ryan, S. J., Lippi, C. A., Nightingale, R., Hamerlinck, G., Borbor-Cordova, M. J., Cruz B, M., Ortega, F., Leon, R., Waggoner, E., & Stewart-Ibarra, A. M. (2019). Socio-ecological factors associated with dengue risk and Aedes aegypti presence in the Galápagos Islands, Ecuador. International Journal of Environmental Research and Public Health, 16(5), 1–16. https://doi.org/10.3390/ijerph16050682Salas, R. N., & Jha, A. K. (2019). Climate change threatens the achievement of effective universal healthcare. BMJ (Clinical Research Ed.), 366(September), l5302. https://doi.org/10.1136/bmj.l5302Sánchez, M. V, & Sauma, P. (2011). Vulnerabilidad económica externa, protección social y pobreza en América Latina.Sands, P., El Turabi, A., Saynisch, P. A., & Dzau, V. J. (2016). Assessment of economic vulnerability to infectious disease crises. The Lancet, 388(10058), 2443–2448. https://doi.org/10.1016/S0140-6736(16)30594-3Schmidt, W.-P., Suzuki, M., Dinh Thiem, V., White, R. G., Tsuzuki, A., Yoshida, L.-M., Yanai, H., Haque, U., Huu Tho, L., Anh, D. D., & Ariyoshi, K. (2011). Population Density, Water Supply, and the Risk of Dengue Fever in Vietnam: Cohort Study and Spatial Analysis. PLoS Medicine, 8(8), e1001082. https://doi.org/10.1371/journal.pmed.1001082Schmunis, G. A., & Dias, J. C. P. (2000). Health system, decentralization, and the control of vector-borne diseases. Cadernos de Saúde Pública, 16(Sup.2), 117–123.Setia, M. S. (2016). Methodology Series Module 3: Cross-sectional Studies. Indian Journal of Dermatology, 61(3), 261–264. https://doi.org/10.4103/0019-5154.182410Silva, M. (2010). Desigualdad y exclusión social: de breve revisitación a una síntesis proteórica. RIPS. Revista de Investigaciones Políticas y Sociológicas, 9(1), 111–136.Sirisena, P., Noordeen, F., Kurukulasuriya, H., Romesh, T. A., & Fernando, L. K. (2017). Effect of climatic factors and population density on the distribution of dengue in Sri Lanka: A GIS based evaluation for prediction of outbreaks. PLoS ONE, 12(1). https://doi.org/10.1371/journal.pone.0166806Skolnik, R. (2016). Global Health 101 (R. K. Riegelman, Ed.). Jones & Bartlett Learning.Spiegel, J. M., Bonet, M., Ibarra, A. M., Pagliccia, N., Ouellette, V., & Yassi, A. (2007). Social and environmental determinants of Aedes aegypti infestation in Central Havana: Results of a case-control study nested in an integrated dengue surveillance programme in Cuba. Tropical Medicine and International Health, 12(4), 503–510. https://doi.org/10.1111/j.1365-3156.2007.01818.xStanke, C., Kerac, M., Prudhomme, C., Medlock, J., & Murray, V. (2013). Health Effects of Drought: A Systematic Review of the Evidence. PLoS Currents, 5(JUNE), 1–24. https://doi.org/10.1371/currents.dis.7a2cee9e980f91ad7697b570bcc4b004Stewart Ibarra, A. M., Luzadis, V. A., Borbor Cordova, M. J., Silva, M., Ordoñez, T., Ayala, E. B., & Ryan, S. J. (2014). A social-ecological analysis of community perceptions of dengue fever and Aedes aegypti in Machala, Ecuador. BMC Public Health, 14(1), 1–12. https://doi.org/10.1186/1471-2458-14-1135Stewart-Ibarra, A. M. (2012). A social-ecological analysis of vulnerability to dengue fever in Southern coastal Ecuador.Stramer, S. L., Hollinger, F. B., Katz, L. M., Kleinman, S., Metzel, P. S., Gregory, K. R., & Dodd, R. Y. (2009). Emerging infectious disease agents and their potential threat to transfusion safety. Transfusion, 49(SUPPL. 2), 29. https://doi.org/10.1111/j.1537-2995.2009.02279.xSuarez, M. R., Olarte, S. M. F., Ana, M. F. A., & González, U. C. (2005). Is what I have just a cold or is it dengue? Addressing the gap between the politics of dengue control and daily life in Villavicencio-Colombia. Social Science and Medicine, 61(2), 495–502. https://doi.org/10.1016/j.socscimed.2004.11.069Sullivan, A. K. (2016). Water Sanitation and Waste Management in Latin America , Colombia , and Cartagena : A Study of the Relationship Between Environment , Health , Poverty , and Policy.Surendran, S. N., Jayadas, T. T. P., Sivabalakrishnan, K., Santhirasegaram, S., Karvannan, K., Weerarathne, T. C., Parakrama Karunaratne, S. H. P., & Ramasamy, R. (2019). Development of the major arboviral vector Aedes aegypti in urban drain-water and associated pyrethroid insecticide resistance is a potential global health challenge. Parasites and Vectors, 12(1). https://doi.org/10.1186/s13071-019-3590-9Sutherst, R. W. (2004). Global change and human vulnerability to vector-borne diseases. Clinical Microbiology Reviews, 17(1), 136–173.Tapia-Conyer, R., Betancourt-Cravioto, M., & Mendez-Galvan, J. (2012). Dengue: an escalating public health problem in Latin America. Paediatrics and International Child Health, 32 Suppl 1, 14–17. https://doi.org/10.1179/2046904712Z.00000000046Terminix. (2020). What to Know About Male vs Female Mosquitoes. Terminix. https://www.terminix.com/pest-control/mosquitoes/facts/male-vs-female/TerriData DNP. (2023). TerriData DNP. TerriData DNP. https://terridata.dnp.gov.co/Thomas, K., Hardy, R. D., Lazrus, H., Mendez, M., Orlove, B., Rivera-Collazo, I., Roberts, J. T., Rockman, M., Warner, B. P., & Winthrop, R. (2019). Explaining differential vulnerability to climate change: A social science review. In Wiley Interdisciplinary Reviews: Climate Change (Vol. 10, Issue 2, pp. 1–18). https://doi.org/10.1002/wcc.565Tipayamongkholgu, M., & Lisakulruk, S. (2011). Socio-geographical factors in vulnerability to dengue in thai villages: A spatial regression analysis. Geospatial Health, 5(2), 191–198. https://doi.org/10.4081/gh.2011.171Townroe, S., & Callaghan, A. (2014). British container breeding mosquitoes: The impact of urbanisation and climate change on community composition and phenology. PLoS ONE, 9(4). https://doi.org/10.1371/journal.pone.0095325Triana, J. E., & Tobler Asitizábal, C. (2011). Los principios en la bioética: fuentes, propuestas y prácticas múltiples. Revista Colombiana de Bioética, 6, 34.Trujillo García, E. P., Lopera Gómez, L., & Zapata Vélez, L. P. (2014). Dinámicas interorganizacionales en la protección integral a la niñez y adolescencia en situación de vulnerabilidad social de la ciudad de Medellín, 2012 : un análisis de estructura y sentidos.Tuesca-Molina, R. de J., Navarro-Lechuga, E., Goenaga-Jiménez, E. del C., Martínez-Garcés, J. C., & Acosta-Reyes, J. (2018). Seroprevalencia en una zona de hiperendemia por dengue, en Barranquilla, Colombia. Aquichan, 18(1), 95–109. https://doi.org/10.5294/aqui.2018.18.1.9Udayanga, L., & Gunathilaka, N. (2020). Climate change induced vulnerability and adaption for dengue incidence in Colombo and Kandy districts: The first detailed investigation in Sri Lanka. Research Square.Udayanga, L., Gunathilaka, N., Iqbal, M. C. M., & Abeyewickreme, W. (2020). Climate change induced vulnerability and adaption for dengue incidence in Colombo and Kandy districts: the detailed investigation in Sri Lanka. Infectious Diseases of Poverty, 9(1), 102. https://doi.org/10.1186/s40249-020-00717-zUdayanga, L., Gunathilaka, N., Iqbal, M. C. M., Lakmal, K., Amarasinghe, U. S., & Abeyewickreme, W. (2018). Comprehensive evaluation of demographic, socio-economic and other associated risk factors affecting the occurrence of dengue incidence among Colombo and Kandy Districts of Sri Lanka: A cross-sectional study. Parasites and Vectors, 11(1), 1–18. https://doi.org/10.1186/s13071-018-3060-9UNFCCC. (2007). Unidos por el clima. In Convención Marco de las Naciones Unidas sobre el Cambio Climático.Valero-Bernal, M., & Tanner, M. (2008). Globalization and health: the case of tropical and neglected diseases. Rev. MVZ Córdoba, 13(1), 1252–1264.Vanlerberghe, V., & Verdonck, K. (2013). La inequidad en salud: el caso del dengue. Revista Peruana de Medicina Experimental y Salud Publica, 30(4), 683–686.Vasconcelos Motta, C. M., Caprara, A., Santana, R. P., Borrero, E., & Carrasquilla, G. (2013). Fatores associados á transmissão do dengue diante da perspectiva da ecossaúde: uma revisão sistemática. In Ecossaúde, uma abordagem eco-bio-social: percursos convergentes no controle do dengue (pp. 71–84).Velandia-Romero, M. L., Olano, V. A., Coronel-Ruiz, C., Cabezas, L., Calderón-Peláez, M. A., Castellanos, J. E., & Matiz, M. I. (2017). Detección del virus dengue en larvas y pupas de Aedes aegypti recolectadas en áreas rurales del municipio de Anapoima, Cundinamarca, Colombia. Biomedica, 37, 1–24. https://doi.org/10.7705/biomedica.v34i2.3584Vian, T. (2008). Review of corruption in the health sector: Theory, methods and interventions. Health Policy and Planning, 23(2), 83–94. https://doi.org/10.1093/heapol/czm048Villar, L. A., Rojas, D. P., Besada-Lombana, S., & Sarti, E. (2015). Epidemiological Trends of Dengue Disease in Colombia (2000-2011): A Systematic Review. PLoS Neglected Tropical Diseases, 9(3), e0003499. https://doi.org/10.1371/journal.pntd.0003499Vincenti-Gonzalez, M. F., Tami, A., Lizarazo, E. F., & Grillet, M. E. (2018). ENSO-driven climate variability promotes periodic major outbreaks of dengue in Venezuela. Scientific Reports, 8(1), 1–11. https://doi.org/10.1038/s41598-018-24003-zWatts, M. J., Kotsila, P., Mortyn, P. G., Sarto i Monteys, V., & Urzi Brancati, C. (2020). Influence of socio-economic, demographic and climate factors on the regional distribution of dengue in the United States and Mexico. International Journal of Health Geographics, 19(1). https://doi.org/10.1186/s12942-020-00241-1Weiss, B., & Pollack, A. A. (2017). Barriers to global health development: An international quantitative survey. PLoS ONE, 12(10), 1–23. https://doi.org/10.1371/journal.pone.0184846Welsh-rodriguez, C. M., Ochoa, C., & Hayden, M. H. (2014). Cambio climático y dengue: una aproximación sistémica. IX Congreso de La Asociación Española de Climatología, 1–12.Whiteman, A., Mejia, A., Hernandez, I., & Loaiza, J. R. (2018). Socioeconomic and demographic predictors of resident knowledge, attitude, and practice regarding arthropod-borne viruses in Panama. BMC Public Health, 18(1), 1–13. https://doi.org/10.1186/s12889-018-6172-4WHO Team. (2021). WHO Global water, sanitation and hygiene Annual report 2021. https://iris.who.int/bitstream/handle/10665/363169/9789240057258-eng.pdf?sequence=1Wilches Chaux, G. (1993). La vulnerabilidad global. In A. Maskrey (Ed.), Los desastres no son naturales (1°, pp. 11–44). Red de Estudios Sociales en Prevención de Desastres en América Latina.Wilder-Smith, A., Chen, L. H., Massad, E., & Wilson, M. E. (2009). Threat of dengue to blood safety in dengue-endemic countries. Emerging Infectious Diseases, 15(1), 8–11. https://doi.org/10.3201/eid1501.071097Wilder-Smith, A., & Gubler, D. J. (2008). Geographic expansion of dengue: the impact of international travel. The Medical Clinics of North America, 92(6), 1377–1390, x. https://doi.org/10.1016/j.mcna.2008.07.002Wilder-Smith, A., Ooi, E.-E., Horstick, O., & Wills, B. (2019). Dengue. The Lancet, 393(10169), 350–363. https://doi.org/10.1016/S0140-6736(18)32560-1Wolf, J., Johnston, R. B., Ambelu, A., Arnold, B. F., Bain, R., Brauer, M., Brown, J., Caruso, B. A., Clasen, T., Colford, J. M., Mills, J. E., Evans, B., Freeman, M. C., Gordon, B., Kang, G., Lanata, C. F., Medlicott, K. O., Prüss-Ustün, A., Troeger, C., … Cumming, O. (2023). Burden of disease attributable to unsafe drinking water, sanitation, and hygiene in domestic settings: a global analysis for selected adverse health outcomes. The Lancet, 401(10393), 2060–2071. https://doi.org/10.1016/S0140-6736(23)00458-0/ATTACHMENT/BED09094-E35B-4282-8952-3DFEE56EDC90/MMC2.XLSXWood, S. N. (2017). Generalized Additive Models: An introduction with R. In C. Press (Ed.), Text in statistical science (2nd ed., Vol. 1, Issue 3).World Bank. (2023). Gini index - Colombia | Data. The World Bank. https://data.worldbank.org/indicator/SI.POV.GINI?locations=COWorld Bank Group. (2024, May 8). Data Catalog Climate Change Knowledge Portal. https://climateknowledgeportal.worldbank.org/download-dataWorld Health Organization. (1997). Dengue haemorrhagic fever : diagnosis, treatment, prevention and control (2nd ed). World Health Organization. https://iris.who.int/handle/10665/41988World Health Organization. (2003). Cambio climático y salud humana: riesgos y respuestas.World Health Organization. (2009). Dengue: Guidelines for Diagnosis, Treatment, Prevention and Control.World Health Organization. (2017). Dengue control. WHO; World Health Organization. https://www.who.int/denguecontrol/epidemiology/en/World Health Organization. (2019a, April 15). Dengue and severe dengue. WHO. https://doi.org/10.1111/1469-0691.12442World Health Organization. (2019b, April 15). Dengue y dengue grave. OMS. https://www.who.int/es/news-room/fact-sheets/detail/dengue-and-severe-dengueWu, X., Lu, Y., Zhou, S., Chen, L., & Xu, B. (2016). Impact of climate change on human infectious diseases: Empirical evidence and human adaptation. Environment International, 86, 14–23. https://doi.org/10.1016/j.envint.2015.09.007Xu, L., Stige, L. C., Chan, K. S., Zhou, J., Yang, J., Sang, S., Wang, M., Yang, Z., Yan, Z., Jiang, T., Lu, L., Yue, Y., Liu, X., Lin, H., Xu, J., Liu, Q., & Stenseth, N. C. (2017). Climate variation drives dengue dynamics. Proceedings of the National Academy of Sciences of the United States of America, 114(1), 113–118. https://doi.org/10.1073/pnas.1618558114Xuan, L. T. T., Van Hau, P., Thu, D. T., & Toan, D. T. T. (2014). Estimates of meteorological variability in association with dengue cases in a coastal city in northern Vietnam: An ecological study. Global Health Action, 7(1), 1–7. https://doi.org/10.3402/gha.v7.23119Yamini, M. (2011). The Economic Penalty of Dengue.Yee, T. W. (2015). Vector Generalized Linear and Additive Models (Springer, Ed.). Springer New York. https://doi.org/10.1007/978-1-4939-2818-7Yue, Y., Sun, J., Liu, X., Ren, D., Liu, Q., Xiao, X., & Lu, L. (2018). Spatial analysis of dengue fever and exploration of its environmental and socio-economic risk factors using ordinary least squares: A case study in five districts of Guangzhou City, China, 2014. International Journal of Infectious Diseases, 75, 39–48. https://doi.org/10.1016/j.ijid.2018.07.023Zambrano P, G. Sc. J. (2017). Protocolo de vigilancia en Salud Pública DENGUE Código: 210 – 220 – 580. In Protocolo de Vigilancia en Salud Pública.Zapata Vélez, L. P. (2014). Vulnerabilidades cruzadas: fragilidad humana en un mundo débil y quebradizo (Issue 2014, p. 26).Zellweger, R. M., Cano, J., Mangeas, M., Taglioni, F., Mercier, A., Despinoy, M., Menkès, C. E., Dupont-Rouzeyrol, M., Nikolay, B., & Teurlai, M. (2017). Socioeconomic and environmental determinants of dengue transmission in an urban setting: An ecological study in Nouméa, New Caledonia. PLoS Neglected Tropical Diseases, 11(4), 1–18. https://doi.org/10.1371/journal.pntd.0005471Zhang, Q., Chen, Y., Fu, Y., Liu, T., Zhang, Q., Guo, P., & Ma, W. (2019). Epidemiology of dengue and the effect of seasonal climate variation on its dynamics: A spatio-temporal descriptive analysis in the Chao-Shan area on China’s southeastern coast. BMJ Open, 9(5). https://doi.org/10.1136/bmjopen-2018-024197ORIGINALTrabajo de grado.pdfTrabajo de grado.pdfapplication/pdf3720431https://repositorio.unbosque.edu.co/bitstreams/a9812621-e61a-406d-ae88-970140e93a9b/download6e304a60fa788ea9986da49501d19109MD54LICENSElicense.txtlicense.txttext/plain; charset=utf-82000https://repositorio.unbosque.edu.co/bitstreams/6937d6b8-9639-4a8b-8f92-7e82d41fb5a9/download17cc15b951e7cc6b3728a574117320f9MD53Carta de autorizacion.pdfapplication/pdf263062https://repositorio.unbosque.edu.co/bitstreams/eae8511d-0e5d-4bf9-80b3-e8fcea21a194/download8644f711ae16679948bea09753b1834bMD56Anexo 1 Acta de aprobacion.pdfapplication/pdf222167https://repositorio.unbosque.edu.co/bitstreams/80ebb10c-f006-471e-bd96-1ecbbfc25e93/download4fade9dc96d7d9f26a2c29c1be9b8ef3MD57CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81160https://repositorio.unbosque.edu.co/bitstreams/300f7c51-cbe0-495c-b2b0-affb4aba8ae8/download5643bfd9bcf29d560eeec56d584edaa9MD55TEXTTrabajo de grado.pdf.txtTrabajo de grado.pdf.txtExtracted texttext/plain101790https://repositorio.unbosque.edu.co/bitstreams/42ea6c02-ed16-4ad9-9092-8bc82593f730/downloadb87f450d051ca3628c20a311569c4e71MD58THUMBNAILTrabajo de grado.pdf.jpgTrabajo de grado.pdf.jpgGenerated Thumbnailimage/jpeg3631https://repositorio.unbosque.edu.co/bitstreams/68cf8c13-5d1a-470e-ae4e-cc3cfcd7e4c9/download5cc54bfd9597d8a28b918162addd6361MD5920.500.12495/13971oai:repositorio.unbosque.edu.co:20.500.12495/139712025-02-16 03:08:22.446http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalembargo2026-02-13https://repositorio.unbosque.edu.coRepositorio Institucional Universidad El Bosquebibliotecas@biteca.comTGljZW5jaWEgZGUgRGlzdHJpYnVjacOzbiBObyBFeGNsdXNpdmEKClBhcmEgcXVlIGVsIFJlcG9zaXRvcmlvIGRlIGxhIFVuaXZlcnNpZGFkIEVsIEJvc3F1ZSBhIHB1ZWRhIHJlcHJvZHVjaXIgeSBjb211bmljYXIgcMO6YmxpY2FtZW50ZSBzdSBkb2N1bWVudG8gZXMgbmVjZXNhcmlvIGxhIGFjZXB0YWNpw7NuIGRlIGxvcyBzaWd1aWVudGVzIHTDqXJtaW5vcy4gUG9yIGZhdm9yLCBsZWEgbGFzIHNpZ3VpZW50ZXMgY29uZGljaW9uZXMgZGUgbGljZW5jaWE6CgoxLiBBY2VwdGFuZG8gZXN0YSBsaWNlbmNpYSwgdXN0ZWQgKGVsIGF1dG9yL2VzIG8gZWwgcHJvcGlldGFyaW8vcyBkZSBsb3MgZGVyZWNob3MgZGUgYXV0b3IpIGdhcmFudGl6YSBhIGxhIFVuaXZlcnNpZGFkIEVsIEJvc3F1ZSBlbCBkZXJlY2hvIG5vIGV4Y2x1c2l2byBkZSBhcmNoaXZhciwgcmVwcm9kdWNpciwgY29udmVydGlyIChjb21vIHNlIGRlZmluZSBtw6FzIGFiYWpvKSwgY29tdW5pY2FyIHkvbyBkaXN0cmlidWlyIHN1IGRvY3VtZW50byBtdW5kaWFsbWVudGUgZW4gZm9ybWF0byBlbGVjdHLDs25pY28uCgoyLiBUYW1iacOpbiBlc3TDoSBkZSBhY3VlcmRvIGNvbiBxdWUgbGEgVW5pdmVyc2lkYWQgRWwgQm9zcXVlIHB1ZWRhIGNvbnNlcnZhciBtw6FzIGRlIHVuYSBjb3BpYSBkZSBlc3RlIGRvY3VtZW50byB5LCBzaW4gYWx0ZXJhciBzdSBjb250ZW5pZG8sIGNvbnZlcnRpcmxvIGEgY3VhbHF1aWVyIGZvcm1hdG8gZGUgZmljaGVybywgbWVkaW8gbyBzb3BvcnRlLCBwYXJhIHByb3DDs3NpdG9zIGRlIHNlZ3VyaWRhZCwgcHJlc2VydmFjacOzbiB5IGFjY2Vzby4KCjMuIERlY2xhcmEgcXVlIGVsIGRvY3VtZW50byBlcyB1biB0cmFiYWpvIG9yaWdpbmFsIHN1eW8geS9vIHF1ZSB0aWVuZSBlbCBkZXJlY2hvIHBhcmEgb3RvcmdhciBsb3MgZGVyZWNob3MgY29udGVuaWRvcyBlbiBlc3RhIGxpY2VuY2lhLiBUYW1iacOpbiBkZWNsYXJhIHF1ZSBzdSBkb2N1bWVudG8gbm8gaW5mcmluZ2UsIGVuIHRhbnRvIGVuIGN1YW50byBsZSBzZWEgcG9zaWJsZSBzYWJlciwgbG9zIGRlcmVjaG9zIGRlIGF1dG9yIGRlIG5pbmd1bmEgb3RyYSBwZXJzb25hIG8gZW50aWRhZC4KCjQuIFNpIGVsIGRvY3VtZW50byBjb250aWVuZSBtYXRlcmlhbGVzIGRlIGxvcyBjdWFsZXMgbm8gdGllbmUgbG9zIGRlcmVjaG9zIGRlIGF1dG9yLCBkZWNsYXJhIHF1ZSBoYSBvYnRlbmlkbyBlbCBwZXJtaXNvIHNpbiByZXN0cmljY2nDs24gZGVsIHByb3BpZXRhcmlvIGRlIGxvcyBkZXJlY2hvcyBkZSBhdXRvciBwYXJhIG90b3JnYXIgYSBsYSBVbml2ZXJzaWRhZCBFbCBCb3NxdWUgbG9zIGRlcmVjaG9zIHJlcXVlcmlkb3MgcG9yIGVzdGEgbGljZW5jaWEsIHkgcXVlIGVzZSBtYXRlcmlhbCBjdXlvcyBkZXJlY2hvcyBzb24gZGUgdGVyY2Vyb3MgZXN0w6EgY2xhcmFtZW50ZSBpZGVudGlmaWNhZG8geSByZWNvbm9jaWRvIGVuIGVsIHRleHRvIG8gY29udGVuaWRvIGRlbCBkb2N1bWVudG8gZW50cmVnYWRvLgoKNS4gU2kgZWwgZG9jdW1lbnRvIHNlIGJhc2EgZW4gdW5hIG9icmEgcXVlIGhhIHNpZG8gcGF0cm9jaW5hZGEgbyBhcG95YWRhIHBvciB1bmEgYWdlbmNpYSB1IG9yZ2FuaXphY2nDs24gZGlmZXJlbnRlIGRlIGxhIFVuaXZlcnNpZGFkIEVsIEJvc3F1ZSwgc2UgcHJlc3Vwb25lIHF1ZSBzZSBoYSBjdW1wbGlkbyBjb24gY3VhbHF1aWVyIGRlcmVjaG8gZGUgcmV2aXNpw7NuIHUgb3RyYXMgb2JsaWdhY2lvbmVzIHJlcXVlcmlkYXMgcG9yIGVzdGUgY29udHJhdG8gbyBhY3VlcmRvLgoKNi4gVW5pdmVyc2lkYWQgRWwgQm9zcXVlIGlkZW50aWZpY2Fyw6EgY2xhcmFtZW50ZSBzdS9zIG5vbWJyZS9zIGNvbW8gZWwvbG9zIGF1dG9yL2VzIG8gcHJvcGlldGFyaW8vcyBkZSBsb3MgZGVyZWNob3MgZGVsIGRvY3VtZW50bywgeSBubyBoYXLDoSBuaW5ndW5hIGFsdGVyYWNpw7NuIGRlIHN1IGRvY3VtZW50byBkaWZlcmVudGUgYSBsYXMgcGVybWl0aWRhcyBlbiBlc3RhIGxpY2VuY2lhLgo= |