Enhancing West Nile virus surveillance, United States.
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.
Brownstein
John S
JS
Yale University School of Medicine, New Haven, Connecticut 06520, USA.
Holford
Thoedore R
TR
Fish
Durland
D
D000818:Animals; D001715:Bird Diseases / Q000453:epidemiology / Q000821:virology; D001717:Birds; D009033:Culicidae / Q000821:virology; D006801:Humans; D015994:Incidence; D008954:Models, Biological; D018570:Risk Assessment; D018571:Sentinel Surveillance; D014481:United States / Q000453:epidemiology; D014901:West Nile Fever / Q000453:epidemiology* / Q000821:virology; D014902:West Nile virus / Q000254:growth & development*