Shaman Jeffrey, Day Jonathan F, Stieglitz Marc, Zebiak Stephen, Cane Mark
Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.
Emerg Infect Dis. 2004 May;10(5):802-9. doi: 10.3201/eid1005.030246.
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.
疾病传播预测可以通过指明疾病控制和预防工作应聚焦的地点,帮助将人类和家畜的健康风险降至最低。对于天气相关变量会影响病原体增殖、扩散或传播的疾病系统,存在疾病预测的可能性。我们给出了佛罗里达州印第安河县圣路易斯脑炎病毒传播的季节性预测。我们推导出了模拟的地表湿度与人类中圣路易斯脑炎病毒传播水平之间的经验关系。然后我们利用这些数据提前一个季节预测圣路易斯脑炎病毒的传播。展示了预测技能,并给出了流行性圣路易斯脑炎病毒传播的实时季节性预测。本研究展示了如何应用天气和气候预测技能验证分析来检验经验性疾病预测模型的可预测性。