Brownstein John S, Holford Thoedore R, Fish Durland
Yale University School of Medicine, New Haven, Connecticut 06520, USA.
Emerg Infect Dis. 2004 Jun;10(6):1129-33. doi: 10.3201/eid1006.030457.
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.
我们提供了一种构建县级西尼罗河病毒风险地图的方法，以作为人类病例的早期预警系统。我们还证明，与监测死亡和感染的野生鸟类相比，蚊虫监测是人类风险更准确的预测指标。
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