Abstract
We provide a method for constructing a county-level West Nile virus risk map to serve as an early warning system for human cases. We also demonstrate that mosquito surveillance is a more accurate predictor of human risk than monitoring dead and infected wild birds.
Publication types
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Research Support, Non-U.S. Gov't
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Research Support, U.S. Gov't, Non-P.H.S.
MeSH terms
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Animals
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Bird Diseases / epidemiology
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Bird Diseases / virology
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Birds
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Culicidae / virology
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Humans
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Incidence
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Models, Biological
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Risk Assessment
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Sentinel Surveillance
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United States / epidemiology
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West Nile Fever / epidemiology*
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West Nile Fever / virology
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West Nile virus / growth & development*