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当前及未来气候条件下巴西的黄热病病毒爆发

Yellow fever virus outbreak in Brazil under current and future climate.

作者信息

Sadeghieh Tara, Sargeant Jan M, Greer Amy L, Berke Olaf, Dueymes Guillaume, Gachon Philippe, Ogden Nicholas H, Ng Victoria

机构信息

Population Medicine, University of Guelph, Guelph, Ontario, Canada.

Centre for Public Health and Zoonoses, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.

出版信息

Infect Dis Model. 2021 Apr 20;6:664-677. doi: 10.1016/j.idm.2021.04.002. eCollection 2021.

Abstract

INTRODUCTION

Yellow fever (YF) is primarily transmitted by species of mosquitoes. Under climate change, mosquitoes and the pathogens that they carry are expected to develop faster, potentially impacting the case count and duration of YF outbreaks. The aim of this study was to determine how YF virus outbreaks in Brazil may change under future climate, using ensemble simulations from regional climate models under RCP4.5 and RCP8.5 scenarios for three time periods: 2011-2040 (short-term), 2041-2070 (mid-term), and 2071-2100 (long-term).

METHODS

A compartmental model was developed to fit the 2017/18 YF outbreak data in Brazil using least squares optimization. To explore the impact of climate change, temperature-sensitive mosquito parameters were set to change over projected time periods using polynomial equations fitted to their relationship with temperature according to the average temperature for years 2011-2040, 2041-2070, and 2071-2100 for climate change scenarios using RCP4.5 and RCP8.5, where RCP4.5/RCP8.5 corresponds to intermediate/high radiative forcing values and to moderate/higher warming trends. A sensitivity analysis was conducted to determine how the temperature-sensitive parameters impacted model results, and to determine how vaccination could play a role in reducing YF in Brazil.

RESULTS

Yellow fever case projections for Brazil from the models varied when climate change scenarios were applied, including the peak clinical case incidence, cumulative clinical case incidence, time to peak incidence, and the outbreak duration. Overall, a decrease in YF cases and outbreak duration was observed. Comparing the observed incidence in 2017/18 to the projected incidence in 2070-2100, for RCP4.5, the cumulative case incidence decreased from 184 to 161, and the outbreak duration decreased from 21 to 20 weeks. For RCP8.5, the peak case incidence decreased from 184 to 147, and the outbreak duration decreased from 21 to 17 weeks. The observed decrease was primarily due to temperature increasing beyond that suitable for mosquito survival.

CONCLUSIONS

Climate change is anticipated to have an impact on mosquito-borne diseases. We found outbreaks of YF may reduce in intensity as temperatures increase in Brazil; however, temperature is not the only factor involved with disease transmission. Other factors must be explored to determine the attributable impact of climate change on mosquito-borne diseases.

摘要

引言

黄热病主要通过蚊虫传播。在气候变化的影响下,蚊子及其携带的病原体预计会加速繁殖,这可能会影响黄热病疫情的病例数量和持续时间。本研究的目的是利用区域气候模型在RCP4.5和RCP8.5情景下针对三个时间段(2011 - 2040年(短期)、2041 - 2070年(中期)和2071 - 2100年(长期))进行的集合模拟,来确定巴西未来气候下黄热病病毒疫情可能会如何变化。

方法

构建了一个 compartments 模型,通过最小二乘法优化来拟合巴西2017/18年黄热病疫情数据。为探究气候变化的影响,根据RCP4.5和RCP8.5气候变化情景下2011 - 2040年、2041 - 2070年和2071 - 2100年的平均温度,使用拟合了蚊子参数与温度关系的多项式方程,设定温度敏感的蚊子参数在预测时间段内发生变化,其中RCP4.5/RCP8.5分别对应中等/高辐射强迫值以及中等/更高的变暖趋势。进行了敏感性分析,以确定温度敏感参数如何影响模型结果,以及疫苗接种在巴西减少黄热病方面可能发挥的作用。

结果

应用气候变化情景时,模型对巴西黄热病病例的预测有所不同,包括临床病例发病率峰值、累计临床病例发病率、发病峰值时间和疫情持续时间。总体而言,观察到黄热病病例数和疫情持续时间有所减少。将2017/18年的观察发病率与2070 - 2100年的预测发病率进行比较,对于RCP4.5,累计病例发病率从184降至161,疫情持续时间从21周降至20周。对于RCP8.5,病例发病率峰值从184降至147,疫情持续时间从21周降至17周。观察到的减少主要是由于温度升高超过了适合蚊子生存的范围。

结论

预计气候变化会对蚊媒疾病产生影响。我们发现,随着巴西气温升高,黄热病疫情的强度可能会降低;然而,温度并非疾病传播的唯一因素。必须探索其他因素,以确定气候变化对蚊媒疾病的可归因影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aae7/8090996/6817e67f94ad/gr1.jpg

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