4.3 Article

Extreme Precipitation Events and Infectious Disease Risk: A Scoping Review and Framework for Infectious Respiratory Viruses

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MDPI
DOI: 10.3390/ijerph19010165

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climate change; rain; extreme weather; influenza; RSV; SARS-CoV-2; covid

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Extreme precipitation events have significant impacts on infectious diseases, particularly infectious respiratory illnesses. While the effects of these events are well-studied in other types of illnesses, such as enteric and vector-borne diseases, their impact on respiratory diseases is not well-understood. Future research should focus on individual-level case surveillance, spatial scales, and lag periods to evaluate the effects of extreme precipitation events on infectious respiratory diseases.
Extreme precipitation events (EPE) change the natural and built environments and alter human behavior in ways that facilitate infectious disease transmission. EPEs are expected with high confidence to increase in frequency and are thus of great public health importance. This scoping review seeks to summarize the mechanisms and severity of impacts of EPEs on infectious diseases, to provide a conceptual framework for the influence of EPEs on infectious respiratory diseases, and to define areas of future study currently lacking in this field. The effects of EPEs are well-studied with respect to enteric, vector-borne, and allergic illness where they are shown to moderately increase risk of illness, but not well-understood in relation to infectious respiratory illness. We propose a framework for a similar influence of EPEs on infectious respiratory viruses through several plausible pathways: decreased UV radiation, increased ambient relative humidity, and changes to human behavior (increased time indoors and use of heating and cooling systems). However, limited work has evaluated meteorologic risk factors for infectious respiratory diseases. Future research is needed to evaluate the effects of EPEs on infectious respiratory diseases using individual-level case surveillance, fine spatial scales, and lag periods suited to the incubation periods of the disease under study, as well as a full characterization of susceptible, vulnerable, and sensitive population characteristics.

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