Zika virus outbreak in Brazil under current and future climate

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creativework.keywords - en
Epidemiology
Disease Outbreaks
Brazil
Mosquito Vectors
Zika Virus
Infectious disease model
Climate Change
dc.contributor.author
Sadeghieh, Tara
Sargeant, Jan M.
Greer, Amy L.
Berke, Olaf
Dueymes, Guillaume
Gachon, Philippe
Ogden, Nicholas H.
Ng, Victoria
dc.date.accessioned
2024-03-12T14:22:43Z
dc.date.available
2024-03-12T14:22:43Z
dc.date.issued
2021-08-20
dc.description - en
The study objective was to explore how an outbreak similar to the 2016 ZIKV outbreak in Brazil might unfold with projected climate change. A compartmental infectious disease model that included compartments for humans and mosquitoes was developed to fit the 2016 ZIKV outbreak data from Brazil using least squares optimization. Climate change scenarios impacted the model outcomes, including the peak clinical case incidence, cumulative clinical case incidence, time to peak incidence, and the duration of the ZIKV outbreak. Comparing 2070–2100 to 2016, using RCP4.5, the peak incidence was 22,030 compared to 10,473; the time to epidemic peak was 12 compared to 9 weeks, and the outbreak duration was 52 compared to 41 weeks. Comparing 2070–2100 to 2016, using RCP8.5, the peak incidence was 21,786 compared to 10,473; the time to epidemic peak was 11 compared to 9 weeks, and the outbreak duration was 50 compared to 41weeks. The increases are due to optimal climate conditions for mosquitoes, with the mean temperature reaching 28 °C in the warmest months. Outbreaks of ZIKV in locations similar to Brazil are expected to be more intense with a warming climate.
dc.description.abstract - en
INTRODUCTION: Zika virus (ZIKV) is primarily transmitted byAedes aegypti and Aedes albopictus mosquitoes between humans and non-human primates. Climate change may enhance virus reproduction in Aedes spp. mosquito populations, resulting in intensified ZIKV outbreaks. The study objective was to explore how an outbreak similar to the 2016 ZIKV outbreak in Brazil might unfold with projected climate change. METHODS: A compartmental infectious disease model that included compartments for humans and mosquitoes was developed to fit the 2016 ZIKV outbreak data from Brazil using least squares optimization. To explore the impact of climate change, published polynomial relationships between temperature and temperature-sensitive mosquito population and virus transmission parameters (mosquito mortality, development rate, and ZIKV extrinsic incu bation period) were used. Projections for future outbreaks were obtained by simulating transmission with effects of projected average monthly temperatures on temperature-sensitive model parameters at each of three future time periods: 2011–2040, 2041–2070, and 2071–2100. The projected future climate was obtained from an ensemble of regional climate models (RCMs) obtained from the Co-Ordinated Regional Downscaling Experiment (CORDEX) that used Representative Concentration Pathways (RCP) with two radiative forcing values, RCP4.5 and RCP8.5. A sensitivity analysis was performed to explore the impact of temperature-dependent parameters on the model outcomes. RESULTS: Climate change scenarios impacted the model outcomes, including the peak clinical case incidence, cumulative clinical case incidence, time to peak incidence, and the duration of the ZIKV outbreak. Comparing 2070–2100 to 2016, using RCP4.5, the peak incidence was 22,030 compared to 10,473; the time to epidemic peak was 12 compared to 9 weeks, and the outbreak duration was 52 compared to 41 weeks. Comparing 2070–2100 to 2016, using RCP8.5, the peak incidence was 21,786 compared to 10,473; the time to epidemic peak was 11 compared to 9 weeks, and the outbreak duration was 50 compared to 41weeks. The increases are due to optimal climate conditions for mosquitoes, with the mean temperature reaching 28 ◦C in the warmest months. Under a high emission scenario (RCP8.5), mean temperatures extend above optimal for mosquito sur vival in the warmest months. CONCLUSION: Outbreaks of ZIKV in locations similar to Brazil are expected to be more intense with a warming climate. As climate change impacts are becoming increasingly apparent on human health, it is important to quantify the effect and use this knowledge to inform decisions on prevention and control strategies.
dc.identifier.citation
Sadeghieh T, Sargeant JM, Greer AL, Berke O, Dueymes G, Gachon P, Ogden NH, Ng V. Zika virus outbreak in Brazil under current and future climate. Epidemics. 2021 Dec;37:100491. doi: 10.1016/j.epidem.2021.100491. Epub 2021 Aug 20.
dc.identifier.doi
https://doi.org/10.1016/j.epidem.2021.100491
dc.identifier.issn
1878-0067
dc.identifier.pubmedID
34454353
dc.identifier.uri
https://open-science.canada.ca/handle/123456789/2092
dc.language.iso
en
dc.publisher
Elsevier
dc.rights - en
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights - fr
Creative Commons Attribution - Pas d'utilisation commerciale - Pas de modification 4.0 International (CC BY-NC-ND 4.0)
dc.rights.uri - en
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.fr
dc.subject - en
Health
dc.subject - fr
Santé
dc.subject.en - en
Health
dc.subject.fr - fr
Santé
dc.title - en
Zika virus outbreak in Brazil under current and future climate
dc.type - en
Article
dc.type - fr
Article
local.acceptedmanuscript.articlenum
100491
local.article.journaltitle
Epidemics
local.article.journalvolume
97
local.peerreview - en
Yes
local.peerreview - fr
Oui
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