Integrated Forecasts Based on Public Health Surveillance and Meteorological Data Predict West Nile Virus in a High-Risk Region of North America.

Michael Charles WimberlyJustin K DavisMichael B HildrethJoshua L Clayton

Published in: Environmental health perspectives (2022)

The predictions reached maximum accuracy early enough in the WNV season to allow public health responses before the peak of human cases in August. This early warning is necessary because other indicators of WNV risk, including early reports of human cases and mosquito abundance, are poor predictors of case numbers later in the season. https://doi.org/10.1289/EHP10287.

Keyphrases

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air pollution
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machine learning
microbial community
adverse drug
artificial intelligence