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...

Full description

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
id UNBOSQUE2_cc6806e447fa8e678478753ea86d58b1
oai_identifier_str oai:repositorio.unbosque.edu.co:20.500.12495/6717
network_acronym_str UNBOSQUE2
network_name_str Repositorio U. El Bosque
repository_id_str
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
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.local.none.fl_str_mv Artículo de revista
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
format 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
dc.identifier.repourl.none.fl_str_mv 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
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.local.spa.fl_str_mv Acceso abierto
dc.rights.accessrights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
Acceso abierto
rights_invalid_str_mv 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
eu_rights_str_mv 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
bitstream.url.fl_str_mv http://18.204.144.38/bitstreams/135a7f15-e87b-47b7-9711-4e32fb42690a/download
http://18.204.144.38/bitstreams/4cf7a63b-867e-436a-83f7-27564872f52a/download
http://18.204.144.38/bitstreams/668f52a0-aaa5-4fe4-922e-c8b130f515f9/download
http://18.204.144.38/bitstreams/fa3da58f-e176-4865-9029-c0e22625e023/download
http://18.204.144.38/bitstreams/2bbfa99c-7949-453a-8db5-797fff1918fd/download
bitstream.checksum.fl_str_mv eb399a0a3ccc3cda13cddb779e516a31
4460e5956bc1d1639be9ae6146a50347
8a4605be74aa9ea9d79846c1fba20a33
d397a431ac8393d9a7ffd77535f77f5b
e112dfae6908854bfab1e0cc51378fba
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv DSpace Pre-instalado Biteca S.A.S
repository.mail.fl_str_mv bibliotecas@biteca.com
_version_ 1814100691467108352
spelling 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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