温度对登革热发病率的影响是非线性的,并受气候和社会经济因素的影响:荟萃分析

D. Kirk, Samantha Straus, M. Childs, Mallory J. Harris, Lisa I. Couper, T. J. Davies, Coreen Forbes, Alyssa-Lois M Gehman, Maya L. Groner, Christopher Harley, Kevin D. Lafferty, Van Savage, Eloise Skinner, Mary O’Connor, E. Mordecai
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摘要

温度会影响登革热等蚊媒疾病。这些影响的程度和方向会随地理位置和时间的变化而变化,并可能与其他环境变量相互作用,因此很难预测气候变化带来的变化。在此,我们通过分析已发表的气温与登革热之间的相关性,并将其与遥感气候和社会经济数据相匹配,研究气温与登革热关系的全球变化。我们发现,正如一个独立的机理模型所预测的那样,温度与登革热之间的相关性在中间温度(接近 24°C)时最为正相关。当温度变化和人口密度较高时,温度与登革热之间的正相关性最强,而随着感染负担和降雨量的平均值和变化,这种正相关性减弱,这表明传播有其他限制因素。我们的研究结果表明,虽然气候对疾病的影响取决于具体情况,但也可以从传播的热生物学及其环境和社会媒介中预测。
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Temperature impacts on dengue incidence are nonlinear and mediated by climatic and socioeconomic factors: A meta-analysis
Temperature can influence mosquito-borne diseases like dengue. These effects are expected to vary geographically and over time in both magnitude and direction and may interact with other environmental variables, making it difficult to anticipate changes in response to climate change. Here, we investigate global variation in temperature–dengue relationship by analyzing published correlations between temperature and dengue and matching them with remotely sensed climatic and socioeconomic data. We found that the correlation between temperature and dengue was most positive at intermediate (near 24°C) temperatures, as predicted from an independent mechanistic model. Positive temperature–dengue associations were strongest when temperature variation and population density were high and decreased with infection burden and rainfall mean and variation, suggesting alternative limiting factors on transmission. Our results show that while climate effects on diseases are context-dependent they are also predictable from the thermal biology of transmission and its environmental and social mediators.
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