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Climate drives spatial variation in Zika epidemics in Latin America

Between 2015 and 2017, Zika virus spread rapidly through populations in the Americas with no prior exposure to the disease. Although climate is a known determinant of many Aedes-transmitted diseases, it is currently unclear whether climate was a major driver of the Zika epidemic and how climate migh...

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Autores principales: Harris, Mallory, Caldwell, Jamie M., Mordecai, Erin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732388/
https://www.ncbi.nlm.nih.gov/pubmed/31455188
http://dx.doi.org/10.1098/rspb.2019.1578
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author Harris, Mallory
Caldwell, Jamie M.
Mordecai, Erin A.
author_facet Harris, Mallory
Caldwell, Jamie M.
Mordecai, Erin A.
author_sort Harris, Mallory
collection PubMed
description Between 2015 and 2017, Zika virus spread rapidly through populations in the Americas with no prior exposure to the disease. Although climate is a known determinant of many Aedes-transmitted diseases, it is currently unclear whether climate was a major driver of the Zika epidemic and how climate might have differentially impacted outbreak intensity across locations within Latin America. Here, we estimated force of infection for Zika over time and across provinces in Latin America using a time-varying susceptible–infectious–recovered model. Climate factors explained less than 5% of the variation in weekly transmission intensity in a spatio-temporal model of force of infection by province over time, suggesting that week to week transmission within provinces may be too stochastic to predict. By contrast, climate and population factors were highly predictive of spatial variation in the presence and intensity of Zika transmission among provinces, with pseudo-R(2) values between 0.33 and 0.60. Temperature, temperature range, rainfall and population size were the most important predictors of where Zika transmission occurred, while rainfall, relative humidity and a nonlinear effect of temperature were the best predictors of Zika intensity and burden. Surprisingly, force of infection was greatest in locations with temperatures near 24°C, much lower than previous estimates from mechanistic models, potentially suggesting that existing vector control programmes and/or prior exposure to other mosquito-borne diseases may have limited transmission in locations most suitable for Aedes aegypti, the main vector of Zika, dengue and chikungunya viruses in Latin America.
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spelling pubmed-67323882019-09-09 Climate drives spatial variation in Zika epidemics in Latin America Harris, Mallory Caldwell, Jamie M. Mordecai, Erin A. Proc Biol Sci Ecology Between 2015 and 2017, Zika virus spread rapidly through populations in the Americas with no prior exposure to the disease. Although climate is a known determinant of many Aedes-transmitted diseases, it is currently unclear whether climate was a major driver of the Zika epidemic and how climate might have differentially impacted outbreak intensity across locations within Latin America. Here, we estimated force of infection for Zika over time and across provinces in Latin America using a time-varying susceptible–infectious–recovered model. Climate factors explained less than 5% of the variation in weekly transmission intensity in a spatio-temporal model of force of infection by province over time, suggesting that week to week transmission within provinces may be too stochastic to predict. By contrast, climate and population factors were highly predictive of spatial variation in the presence and intensity of Zika transmission among provinces, with pseudo-R(2) values between 0.33 and 0.60. Temperature, temperature range, rainfall and population size were the most important predictors of where Zika transmission occurred, while rainfall, relative humidity and a nonlinear effect of temperature were the best predictors of Zika intensity and burden. Surprisingly, force of infection was greatest in locations with temperatures near 24°C, much lower than previous estimates from mechanistic models, potentially suggesting that existing vector control programmes and/or prior exposure to other mosquito-borne diseases may have limited transmission in locations most suitable for Aedes aegypti, the main vector of Zika, dengue and chikungunya viruses in Latin America. The Royal Society 2019-08-28 2019-08-28 /pmc/articles/PMC6732388/ /pubmed/31455188 http://dx.doi.org/10.1098/rspb.2019.1578 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Ecology
Harris, Mallory
Caldwell, Jamie M.
Mordecai, Erin A.
Climate drives spatial variation in Zika epidemics in Latin America
title Climate drives spatial variation in Zika epidemics in Latin America
title_full Climate drives spatial variation in Zika epidemics in Latin America
title_fullStr Climate drives spatial variation in Zika epidemics in Latin America
title_full_unstemmed Climate drives spatial variation in Zika epidemics in Latin America
title_short Climate drives spatial variation in Zika epidemics in Latin America
title_sort climate drives spatial variation in zika epidemics in latin america
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732388/
https://www.ncbi.nlm.nih.gov/pubmed/31455188
http://dx.doi.org/10.1098/rspb.2019.1578
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