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Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015–2016 epidemic from a Bayesian approach
OBJECTIVE: To determine the spatial distribution of the risk of Zika virus disease in each region of Colombia during the 2015–2016 epidemic. METHODS: An ecological study was designed to estimate the risks for each Colombian region using first‐order neighbors, covariate effects, and three adjacent pe...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065154/ https://www.ncbi.nlm.nih.gov/pubmed/31975401 http://dx.doi.org/10.1002/ijgo.13048 |
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author | Flórez‐Lozano, Karen Navarro‐Lechuga, Edgar Llinás‐Solano, Humberto Tuesca‐Molina, Rafael Sisa‐Camargo, Augusto Mercado‐Reyes, Marcela Ospina‐Martínez, Martha Prieto‐Alvarado, Franklyn Acosta‐Reyes, Jorge |
author_facet | Flórez‐Lozano, Karen Navarro‐Lechuga, Edgar Llinás‐Solano, Humberto Tuesca‐Molina, Rafael Sisa‐Camargo, Augusto Mercado‐Reyes, Marcela Ospina‐Martínez, Martha Prieto‐Alvarado, Franklyn Acosta‐Reyes, Jorge |
author_sort | Flórez‐Lozano, Karen |
collection | PubMed |
description | OBJECTIVE: To determine the spatial distribution of the risk of Zika virus disease in each region of Colombia during the 2015–2016 epidemic. METHODS: An ecological study was designed to estimate the risks for each Colombian region using first‐order neighbors, covariate effects, and three adjacent periods of time (beginning, development, and end of the epidemic) to analyze the spatial distribution of the disease based on a Bayesian hierarchical model. RESULTS: Spatial distribution of the estimated risks of Zika virus disease showed that it increased in a strip that crosses the central area of the country from west to east. Analysis of the three time periods showed greater risk of the disease in the central and southern zones—Arauca and Santander—where the increase in risk was four times higher during the peak phase compared with the initial phase of the outbreak. CONCLUSION: In the identified high‐risk areas, integrated surveillance systems for Zika virus disease and its complications must be strengthened to provide up‐to‐date and accurate epidemiological information. This information would allow those involved in policy and decision making to identify new outbreaks and risk clusters, enabling more focused and accurate measures to target at‐risk populations. |
format | Online Article Text |
id | pubmed-7065154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70651542020-03-16 Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015–2016 epidemic from a Bayesian approach Flórez‐Lozano, Karen Navarro‐Lechuga, Edgar Llinás‐Solano, Humberto Tuesca‐Molina, Rafael Sisa‐Camargo, Augusto Mercado‐Reyes, Marcela Ospina‐Martínez, Martha Prieto‐Alvarado, Franklyn Acosta‐Reyes, Jorge Int J Gynaecol Obstet Supplement Articles OBJECTIVE: To determine the spatial distribution of the risk of Zika virus disease in each region of Colombia during the 2015–2016 epidemic. METHODS: An ecological study was designed to estimate the risks for each Colombian region using first‐order neighbors, covariate effects, and three adjacent periods of time (beginning, development, and end of the epidemic) to analyze the spatial distribution of the disease based on a Bayesian hierarchical model. RESULTS: Spatial distribution of the estimated risks of Zika virus disease showed that it increased in a strip that crosses the central area of the country from west to east. Analysis of the three time periods showed greater risk of the disease in the central and southern zones—Arauca and Santander—where the increase in risk was four times higher during the peak phase compared with the initial phase of the outbreak. CONCLUSION: In the identified high‐risk areas, integrated surveillance systems for Zika virus disease and its complications must be strengthened to provide up‐to‐date and accurate epidemiological information. This information would allow those involved in policy and decision making to identify new outbreaks and risk clusters, enabling more focused and accurate measures to target at‐risk populations. John Wiley and Sons Inc. 2020-01-23 2020-01 /pmc/articles/PMC7065154/ /pubmed/31975401 http://dx.doi.org/10.1002/ijgo.13048 Text en © 2020 World Health Organization; licensed by John Wiley & Sons Ltd on behalf of International Federation of Gynecology and Obstetrics This is an open access article distributed under the terms of the https://creativecommons.org/licenses/by/3.0/igo/legalcode which permits unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or the article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article’s URL. |
spellingShingle | Supplement Articles Flórez‐Lozano, Karen Navarro‐Lechuga, Edgar Llinás‐Solano, Humberto Tuesca‐Molina, Rafael Sisa‐Camargo, Augusto Mercado‐Reyes, Marcela Ospina‐Martínez, Martha Prieto‐Alvarado, Franklyn Acosta‐Reyes, Jorge Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015–2016 epidemic from a Bayesian approach |
title | Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015–2016 epidemic from a Bayesian approach |
title_full | Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015–2016 epidemic from a Bayesian approach |
title_fullStr | Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015–2016 epidemic from a Bayesian approach |
title_full_unstemmed | Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015–2016 epidemic from a Bayesian approach |
title_short | Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015–2016 epidemic from a Bayesian approach |
title_sort | spatial distribution of the relative risk of zika virus disease in colombia during the 2015–2016 epidemic from a bayesian approach |
topic | Supplement Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065154/ https://www.ncbi.nlm.nih.gov/pubmed/31975401 http://dx.doi.org/10.1002/ijgo.13048 |
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