Seasonal forecast of St. Louis encephalitis virus transmission, Florida

被引:16
|
作者
Shaman, J
Day, JF
Stieglitz, M
Zebiak, S
Cane, M
机构
[1] Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA
[2] Univ Florida, Gainesville, FL USA
[3] Columbia Univ, New York, NY USA
[4] Int Res Inst Climate Predict, Palisades, NY USA
关键词
D O I
10.3201/eid1005.030246
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Disease transmission forecasts can help minimize human and domestic animal health risks by indicating where disease control and prevention efforts should be focused. For disease systems in which weather-related variables affect pathogen proliferation, dispersal, or transmission, the potential for disease forecasting exists. We present a seasonal forecast of St. Louis encephalitis virus transmission in Indian River County, Florida. We derive an empiric relationship between modeled land surface wetness and levels of SLEV transmission in humans. We then use these data to forecast SLEV transmission with a seasonal lead. Forecast skill is demonstrated, and a real-time seasonal forecast of epidemic SLEV transmission is presented. This study demonstrates how weather and climate forecast skill-verification analyses may be applied to test the predictability of an empiric disease forecast model.
引用
收藏
页码:802 / 809
页数:8
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