BMC Infectious Diseases | |
Assessing Chikungunya risk in a metropolitan area of Argentina through satellite images and mathematical models | |
Research Article | |
Diego Ruiz-Moreno1  | |
[1] Grupo de Ecologia Computacional, Instituto de Ciencias Sociales y Administración, Universidad Nacional Arturo Jauretche, Florencio Varela, Buenos Aires, Argentina; | |
关键词: Chikungunya; Aedes albopictus; Argentina; Epidemiological modeling; Habitat availability; remote sensing; | |
DOI : 10.1186/s12879-016-1348-y | |
received in 2015-07-17, accepted in 2016-01-13, 发布年份 2016 | |
来源: Springer | |
【 摘 要 】
BackgroundChikungunya fever is a viral disease that recently invaded the American continent. In America, it is transmitted mainly by the mosquito Aedes aegypti, but Aedes albopictus is the main vector in other regions of the world. This work estimates the risk of disease emergence and the corresponding population at risk for the case of a naive population in the metropolitan area of Buenos Aires, the capital city of Argentina.MethodsA classic metapopulation epidemiological model, that considers human and mosquito populations, was extended in order to include different environmental signals. First, the vital rates of the mosquitoes were affected by local temperature. Second, habitat availability estimated from satellite images was used to determine the carrying capacity for local mosquito populations. Disease invasion was proposed to occur at different moments of the year. For each scenario, Monte Carlo simulations were used to estimate the risk of disease invasion and the population at risk.ResultsThe risk of a Chikungunya outbreak displays strong temporal (seasonal) patterns as well as spatial variability at the level of neighborhoods in the study area. According to the model, Summer and Fall display high risk for a Chikungunya invasion. The population at risk displays less variation over the year underlying the importance of preventive actions.ConclusionsThe ability of mapping habitat quality for vector-borne diseases allows developing risk analysis at scales that are easily manageable for public health officers. For this location, the correlation of disease risk with the season of the year and the habitat availability could provide information to develop efficient control strategies. This also underlines the importance of involving the whole community when developing control measures for Chikungunya fever and other recently invading vector-borne diseases such as Zika fever.
【 授权许可】
CC BY
© Ruiz-Moreno. 2016
【 预 览 】
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