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气候驱动拉丁美洲寨卡疫情的空间变异。

Climate drives spatial variation in Zika epidemics in Latin America.

机构信息

Odum School of Ecology, University of Georgia, 140 E Green St, Athens, GA 30602, USA.

Biology Department, Stanford University, 371 Serra Mall, Stanford, CA, USA.

出版信息

Proc Biol Sci. 2019 Aug 28;286(1909):20191578. doi: 10.1098/rspb.2019.1578.

Abstract

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 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.

摘要

在 2015 年至 2017 年期间,寨卡病毒在美洲人群中迅速传播,此前这些人群从未接触过这种疾病。尽管气候是许多经埃及伊蚊传播的疾病的已知决定因素,但目前尚不清楚气候是否是寨卡疫情的主要驱动因素,以及气候如何对拉丁美洲各地的疫情强度产生不同的影响。在这里,我们使用时变易感-感染-恢复模型,估计拉丁美洲各省份随时间推移的寨卡病毒感染率。在一个随时间推移的省级感染率时空模型中,气候因素仅解释了每周传播强度变化的不到 5%,这表明省级范围内每周的传播可能太随机而无法预测。相比之下,气候和人口因素高度预测了省级之间寨卡传播存在和强度的空间变化,伪 R 值在 0.33 到 0.60 之间。温度、温度范围、降雨量和人口规模是预测寨卡传播发生地点的最重要因素,而降雨量、相对湿度和温度的非线性效应是预测寨卡强度和负担的最佳因素。令人惊讶的是,感染率在接近 24°C 的温度下最高,远低于之前来自机制模型的估计,这可能表明现有的病媒控制计划和/或对其他蚊媒疾病的先前暴露可能限制了在最适合埃及伊蚊(拉丁美洲寨卡病毒、登革热和基孔肯雅热病毒的主要传播媒介)的地方的传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f18d/6732388/3e40f4314328/rspb20191578-g1.jpg

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