Multi‐Model Prediction of West Nile Virus Neuroinvasive Disease With Machine Learning for Identification of Important Regional Climatic Drivers

Multi‐Model Prediction of West Nile Virus Neuroinvasive Disease With Machine Learning for Identification of Important Regional Climatic Drivers

Abstract West Nile virus (WNV) is the leading cause of mosquito‐borne illness in the continental United States (CONUS). Spatial heterogeneity in historical incidence, environmental factors, and complex ecology make prediction of spatiotemporal variation in WNV transmission challenging. Machine learn...

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Bibliographic Details
Main Authors: Karen M. Holcomb, J. Erin Staples, Randall J. Nett, Charles B. Beard, Lyle R. Petersen, Stanley G. Benjamin, Benjamin W. Green, Hunter Jones, Michael A. Johansson
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-11-01
Series:GeoHealth
Subjects:
West Nile virus
machine learning
prediction
climate
variable importance
Online Access:https://doi.org/10.1029/2023GH000906

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