TY - JOUR
T1 - Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015–2016 epidemic from a Bayesian approach
AU - Flórez-Lozano, Karen
AU - Navarro-Lechuga, Edgar
AU - Llinás-Solano, Humberto
AU - Tuesca-Molina, Rafael
AU - Sisa-Camargo, Augusto
AU - Mercado-Reyes, Marcela
AU - Ospina-Martínez, Martha
AU - Prieto-Alvarado, Franklyn
AU - Acosta-Reyes, Jorge
N1 - Funding Information:
This work was funded by the HRP Alliance, part of the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP) and the UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR), both cosponsored programs hosted by the World Health Organization (WHO). The Pan American Health Organization (PAHO) provided technical support throughout project implementation.
Funding Information:
This work was funded by the HRP Alliance, part of the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP) and the UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR), both cosponsored programs hosted by the World Health Organization (WHO). The Pan American Health Organization (PAHO) provided technical support throughout project implementation.
Publisher Copyright:
© 2020 World Health Organization; licensed by John Wiley & Sons Ltd on behalf of International Federation of Gynecology and Obstetrics
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
KW - Bayes theorem
KW - Colombia
KW - Spatial analysis
KW - Temporal Analysis
KW - Zika virus
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U2 - 10.1002/ijgo.13048
DO - 10.1002/ijgo.13048
M3 - Article
C2 - 31975401
AN - SCOPUS:85078204153
SN - 0020-7292
VL - 148
SP - 55
EP - 60
JO - International Journal of Gynecology and Obstetrics
JF - International Journal of Gynecology and Obstetrics
IS - S2
ER -