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Integrating Wind Speed Into Climate-Based West Nile Virus Models: A Comparative Analysis in Two Distinct Regions.

Eric R Bump1, Anita Bharadwaja2, Sean Simonson3

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|July 7, 2025
PubMed
Summary
This summary is machine-generated.

Wind speed significantly impacts West Nile virus (WNV) transmission. Higher winds may reduce WNV cases by affecting mosquito activity, highlighting the need for comprehensive climate models in public health.

Keywords:
West Nile virusclimatevector‐borne diseasewind speed

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Area of Science:

  • Environmental Science
  • Epidemiology
  • Vector-borne Disease Ecology

Background:

  • West Nile virus (WNV) is a major mosquito-borne illness in the U.S., with transmission influenced by climate.
  • Existing models often overlook wind speed's role in mosquito behavior and dispersal, despite its potential impact.

Purpose of the Study:

  • To investigate the influence of wind speed on WNV transmission dynamics in Louisiana and South Dakota.
  • To compare the effects of wind speed in regions with contrasting climatic and ecological characteristics.

Main Methods:

  • Analyzed weekly WNV human case data (2004-2022) against daily meteorological data.
  • Employed logistic regression with distributed lag effects to model climate-WNV relationships.
  • Incorporated wind speed into existing climate-based WNV transmission models.

Main Results:

  • Including wind speed consistently improved the predictive accuracy of climate-based WNV models in both states.
  • Elevated wind speeds were associated with a reduction in WNV cases across specific time lags.
  • Regional variations in temperature and moisture effects underscore the importance of localized climate data.

Conclusions:

  • Wind speed is a significant, often neglected, factor in WNV transmission modeling.
  • Higher wind speeds may inhibit mosquito activity, potentially reducing disease transmission.
  • Integrating comprehensive climatic factors, including wind, is crucial for accurate disease prediction and public health strategies.