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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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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
American Geophysical Union (AGU)
2020-09-01
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| Серии: | GeoHealth |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1029/2020GH000244 |
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