Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia
According to the World Health Organization, dengue is a neglected tropical disease. Latin America, specifically Colombia is in alert regarding this arbovirosis as there was a spike in the number of reported dengue cases at the beginning of 2019. Although there has been a worldwide decrease in the nu...
- Autores:
-
Ordoñez Sierra, Gustavo
Sarmiento Senior, Diana
Jaramillo Gomez, Juan Felipe
Giraldo, Paola
Porras Ramírez, Alexandra
Olano, Víctor Alberto
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/6717
- Acceso en línea:
- http://hdl.handle.net/20.500.12495/6717
https://doi.org/10.1016/J.ONEHLT.2021.100234
- Palabra clave:
- Análisis multinivel de Poisson
Clima
Temperatura
Zona tropical
Dengue
Poisson multilevel analysis
Climate
Temperature
Tropical zone
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.title.spa.fl_str_mv |
Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia |
dc.title.translated.spa.fl_str_mv |
Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia |
title |
Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia |
spellingShingle |
Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia Análisis multinivel de Poisson Clima Temperatura Zona tropical Dengue Poisson multilevel analysis Climate Temperature Tropical zone |
title_short |
Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia |
title_full |
Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia |
title_fullStr |
Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia |
title_full_unstemmed |
Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia |
title_sort |
Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia |
dc.creator.fl_str_mv |
Ordoñez Sierra, Gustavo Sarmiento Senior, Diana Jaramillo Gomez, Juan Felipe Giraldo, Paola Porras Ramírez, Alexandra Olano, Víctor Alberto |
dc.contributor.author.none.fl_str_mv |
Ordoñez Sierra, Gustavo Sarmiento Senior, Diana Jaramillo Gomez, Juan Felipe Giraldo, Paola Porras Ramírez, Alexandra Olano, Víctor Alberto |
dc.contributor.orcid.none.fl_str_mv |
Ordoñez Sierra, Gustavo [0000-0003-2178-5946] Sarmiento Senior, Diana [0000-0002-9959-3226] Olano, Víctor Alberto [0000-0003-4010-0973] |
dc.subject.spa.fl_str_mv |
Análisis multinivel de Poisson Clima Temperatura Zona tropical |
topic |
Análisis multinivel de Poisson Clima Temperatura Zona tropical Dengue Poisson multilevel analysis Climate Temperature Tropical zone |
dc.subject.keywords.spa.fl_str_mv |
Dengue Poisson multilevel analysis Climate Temperature Tropical zone |
description |
According to the World Health Organization, dengue is a neglected tropical disease. Latin America, specifically Colombia is in alert regarding this arbovirosis as there was a spike in the number of reported dengue cases at the beginning of 2019. Although there has been a worldwide decrease in the number of reported dengue cases, Colombia has shown a growing trend over the past few years. This study performed a Poisson multilevel analysis with mixed effects on STATA® version 16 and R to assess sociodemographic, climatic, and entomological factors that may influence the occurrence of dengue in three municipalities for the period 2010–2015. Information on dengue cases and their sociodemographic variables was collected from the National Public Health Surveillance System (SIVIGILA) records. For climatic variables (temperature, relative humidity, and precipitation), we used the information registered by the weather stations located in the study area, which are managed by the Instituto de Hidrologia, Meteorologia y Estudios Ambientales (IDEAM) or the Corporaci´on Aut´onoma Regional (CAR). The entomological variables (house index, container index, and Breteau index) were provided by the Health office of the Cundinamarca department. SIVIGILA reported 1921 dengue cases and 56 severe dengue cases in the three municipalities; of them, three died. One out of four cases occurred in rural areas. The age category most affected was adulthood, and there were no statistical differences in the number of cases between sexes. The Poisson multilevel analysis with the best fit model explained the presentation of cases were temperature, relative humidity, precipitation, childhood, live in urban area and the contributory healthcare system. The temperature had the biggest influence on the presentation of dengue cases in this region between 2010 and 2015. |
publishDate |
2021 |
dc.date.issued.none.fl_str_mv |
2021 |
dc.date.accessioned.none.fl_str_mv |
2022-02-02T20:31:09Z |
dc.date.available.none.fl_str_mv |
2022-02-02T20:31:09Z |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_6501 |
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info:eu-repo/semantics/article |
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http://purl.org/coar/resource_type/c_6501 |
dc.identifier.issn.none.fl_str_mv |
2352-7714 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12495/6717 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/J.ONEHLT.2021.100234 |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad El Bosque |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Universidad El Bosque |
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repourl:https://repositorio.unbosque.edu.co |
identifier_str_mv |
2352-7714 instname:Universidad El Bosque reponame:Repositorio Institucional Universidad El Bosque repourl:https://repositorio.unbosque.edu.co |
url |
http://hdl.handle.net/20.500.12495/6717 https://doi.org/10.1016/J.ONEHLT.2021.100234 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.spa.fl_str_mv |
One Health, 2352-7714, Volume 12, June 2021, 100234 |
dc.relation.uri.none.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S2352771421000240 |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Acceso abierto |
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http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess Acceso abierto |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ Acceso abierto http://purl.org/coar/access_right/c_abf2 |
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openAccess |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Elsevier B.V. |
dc.publisher.journal.spa.fl_str_mv |
One Health |
institution |
Universidad El Bosque |
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Ordoñez Sierra, GustavoSarmiento Senior, DianaJaramillo Gomez, Juan FelipeGiraldo, PaolaPorras Ramírez, AlexandraOlano, Víctor AlbertoOrdoñez Sierra, Gustavo [0000-0003-2178-5946]Sarmiento Senior, Diana [0000-0002-9959-3226]Olano, Víctor Alberto [0000-0003-4010-0973]2022-02-02T20:31:09Z2022-02-02T20:31:09Z20212352-7714http://hdl.handle.net/20.500.12495/6717https://doi.org/10.1016/J.ONEHLT.2021.100234instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfengElsevier B.V.One HealthOne Health, 2352-7714, Volume 12, June 2021, 100234https://www.sciencedirect.com/science/article/pii/S2352771421000240Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Acceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessAcceso abiertoAnálisis multinivel de PoissonClimaTemperaturaZona tropicalDenguePoisson multilevel analysisClimateTemperatureTropical zoneMultilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in ColombiaMultilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85According to the World Health Organization, dengue is a neglected tropical disease. Latin America, specifically Colombia is in alert regarding this arbovirosis as there was a spike in the number of reported dengue cases at the beginning of 2019. Although there has been a worldwide decrease in the number of reported dengue cases, Colombia has shown a growing trend over the past few years. This study performed a Poisson multilevel analysis with mixed effects on STATA® version 16 and R to assess sociodemographic, climatic, and entomological factors that may influence the occurrence of dengue in three municipalities for the period 2010–2015. Information on dengue cases and their sociodemographic variables was collected from the National Public Health Surveillance System (SIVIGILA) records. For climatic variables (temperature, relative humidity, and precipitation), we used the information registered by the weather stations located in the study area, which are managed by the Instituto de Hidrologia, Meteorologia y Estudios Ambientales (IDEAM) or the Corporaci´on Aut´onoma Regional (CAR). The entomological variables (house index, container index, and Breteau index) were provided by the Health office of the Cundinamarca department. SIVIGILA reported 1921 dengue cases and 56 severe dengue cases in the three municipalities; of them, three died. One out of four cases occurred in rural areas. The age category most affected was adulthood, and there were no statistical differences in the number of cases between sexes. The Poisson multilevel analysis with the best fit model explained the presentation of cases were temperature, relative humidity, precipitation, childhood, live in urban area and the contributory healthcare system. The temperature had the biggest influence on the presentation of dengue cases in this region between 2010 and 2015.ORIGINALOrdonez_Sierra_Gustavo_2021.pdfOrdonez_Sierra_Gustavo_2021.pdfMultilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombiaapplication/pdf2471395http://18.204.144.38/bitstreams/135a7f15-e87b-47b7-9711-4e32fb42690a/downloadeb399a0a3ccc3cda13cddb779e516a31MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://18.204.144.38/bitstreams/4cf7a63b-867e-436a-83f7-27564872f52a/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://18.204.144.38/bitstreams/668f52a0-aaa5-4fe4-922e-c8b130f515f9/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILOrdonez_Sierra_Gustavo_2021.pdf.jpgOrdonez_Sierra_Gustavo_2021.pdf.jpgIM Thumbnailimage/jpeg10246http://18.204.144.38/bitstreams/fa3da58f-e176-4865-9029-c0e22625e023/downloadd397a431ac8393d9a7ffd77535f77f5bMD54TEXTOrdonez_Sierra_Gustavo_2021.pdf.txtOrdonez_Sierra_Gustavo_2021.pdf.txtExtracted texttext/plain57972http://18.204.144.38/bitstreams/2bbfa99c-7949-453a-8db5-797fff1918fd/downloade112dfae6908854bfab1e0cc51378fbaMD5520.500.12495/6717oai:18.204.144.38:20.500.12495/67172024-02-06 22:31:19.337http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internacionalopen.accesshttp://18.204.144.38DSpace Pre-instalado Biteca S.A.Sbibliotecas@biteca.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 |