Humidity - The overlooked variable in the thermal biology of mosquito-borne disease.
Humidity - The overlooked variable in the thermal biology of mosquito-borne disease.
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DOI：
10.1111/ele.14228
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发表时间：
2023-07
期刊：
影响因子：
8.8
通讯作者：
中科院分区：
文献类型：
--
作者：
病媒传播的疾病造成重大的经济和人力损失，用于控制的费用高达数十亿美元。节肢动物媒介经历了一套复杂的环境因素，影响健身，人口增长和物种之间的相互作用在多个空间和时间尺度。温度和水分是影响其分布和丰度的两个最重要的非生物变量。虽然存在对温度的广泛研究，但对湿度对影响疾病动态的病媒和病原体参数的影响了解较少。湿度往往被低估，当考虑到，往往被视为独立的温度，即使干燥可能有助于在温暖的温度下性状表现的下降。这个观点探讨了湿度如何塑造蚊媒病原体传播的热性能。我们总结了已知的影响，并提出了一个概念模型，温度和湿度如何相互作用，以塑造蚊子持续存在并实现高传播潜力的温度范围。我们讨论了未能考虑这些相互作用如何阻碍预测传播动态和应对蚊媒感染流行病的努力。我们概述了未来的研究领域，将地面湿度对病原体传播的热生物学的影响，在理论和实证框架，以提高空间和时间的预测媒介传播的病原体传播。
Vector-borne diseases cause significant financial and human loss, with billions of dollars spent on control. Arthropod vectors experience a complex suite of environmental factors that affect fitness, population growth and species interactions across multiple spatial and temporal scales. Temperature and water availability are two of the most important abiotic variables influencing their distributions and abundances. While extensive research on temperature exists, the influence of humidity on vector and pathogen parameters affecting disease dynamics are less understood. Humidity is often underemphasized, and when considered, is often treated as independent of temperature even though desiccation likely contributes to declines in trait performance at warmer temperatures. This Perspectives explores how humidity shapes the thermal performance of mosquito-borne pathogen transmission. We summarize what is known about its effects and propose a conceptual model for how temperature and humidity interact to shape the range of temperatures across which mosquitoes persist and achieve high transmission potential. We discuss how failing to account for these interactions hinders efforts to forecast transmission dynamics and respond to epidemics of mosquito-borne infections. We outline future research areas that will ground the effects of humidity on the thermal biology of pathogen transmission in a theoretical and empirical framework to improve spatial and temporal prediction of vector-borne pathogen transmission.
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