Using Climate to Explain and Predict West Nile Virus Risk in Nebraska

Using Climate to Explain and Predict West Nile Virus Risk in Nebraska

Abstract We used monthly precipitation and temperature data to give early warning of years with higher West Nile Virus (WNV) risk in Nebraska. We used generalized additive models with a negative binomial distribution and smoothing curves to identify combinations of extremes and timing that had the m...

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Bibliographic Details
Main Authors: Kelly Helm Smith, Andrew J. Tyre, Jeff Hamik, Michael J. Hayes, Yuzhen Zhou, Li Dai
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-09-01
Series:GeoHealth
Subjects:
disease vector
West Nile Virus
drought
ecologic modeling
prediction
Online Access:https://doi.org/10.1029/2020GH000244

Internet

https://doi.org/10.1029/2020GH000244

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