Impact of climate change on human infectious diseases: Empirical evidence and human adaptation. Wu, X., Lu, Y., Zhou, S., Chen, L., & Xu, B. Environment International, 86(Supplement C):14–23, January, 2016. ![Impact of climate change on human infectious diseases: Empirical evidence and human adaptation [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Climate change refers to long-term shifts in weather conditions and patterns of extreme weather events. It may lead to changes in health threat to human beings, multiplying existing health problems. This review examines the scientific evidences on the impact of climate change on human infectious diseases. It identifies research progress and gaps on how human society may respond to, adapt to, and prepare for the related changes. Based on a survey of related publications between 1990 and 2015, the terms used for literature selection reflect three aspects — the components of infectious diseases, climate variables, and selected infectious diseases. Humans' vulnerability to the potential health impacts by climate change is evident in literature. As an active agent, human beings may control the related health effects that may be effectively controlled through adopting proactive measures, including better understanding of the climate change patterns and of the compound disease-specific health effects, and effective allocation of technologies and resources to promote healthy lifestyles and public awareness. The following adaptation measures are recommended: 1) to go beyond empirical observations of the association between climate change and infectious diseases and develop more scientific explanations, 2) to improve the prediction of spatial–temporal process of climate change and the associated shifts in infectious diseases at various spatial and temporal scales, and 3) to establish locally effective early warning systems for the health effects of predicated climate change.
@article{wu_impact_2016,
title = {Impact of climate change on human infectious diseases: {Empirical} evidence and human adaptation},
volume = {86},
issn = {0160-4120},
shorttitle = {Impact of climate change on human infectious diseases},
url = {http://www.sciencedirect.com/science/article/pii/S0160412015300489},
doi = {10.1016/j.envint.2015.09.007},
abstract = {Climate change refers to long-term shifts in weather conditions and patterns of extreme weather events. It may lead to changes in health threat to human beings, multiplying existing health problems. This review examines the scientific evidences on the impact of climate change on human infectious diseases. It identifies research progress and gaps on how human society may respond to, adapt to, and prepare for the related changes. Based on a survey of related publications between 1990 and 2015, the terms used for literature selection reflect three aspects — the components of infectious diseases, climate variables, and selected infectious diseases. Humans' vulnerability to the potential health impacts by climate change is evident in literature. As an active agent, human beings may control the related health effects that may be effectively controlled through adopting proactive measures, including better understanding of the climate change patterns and of the compound disease-specific health effects, and effective allocation of technologies and resources to promote healthy lifestyles and public awareness. The following adaptation measures are recommended: 1) to go beyond empirical observations of the association between climate change and infectious diseases and develop more scientific explanations, 2) to improve the prediction of spatial–temporal process of climate change and the associated shifts in infectious diseases at various spatial and temporal scales, and 3) to establish locally effective early warning systems for the health effects of predicated climate change.},
number = {Supplement C},
urldate = {2017-11-30},
journal = {Environment International},
author = {Wu, Xiaoxu and Lu, Yongmei and Zhou, Sen and Chen, Lifan and Xu, Bing},
month = jan,
year = {2016},
keywords = {DR, Untagged},
pages = {14--23},
}
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