摘要：This presentation describes how syndromic surveillance information was combined with fire emission and spatio-temporal fire data to model and forecast climate change impacts on future fire scenarios. During 2003 and 2007, wildfires ravaged San Diego County. Various data were used to evaluate, model and predict future fire events. Several findings came out of this work. One result suggests that during the next three decades, San Diego County will experience approximately two extreme fire seasons in each decade by 2040. This study demonstrates utility of syndromic data for collaborative work resulting in better understanding of environmental interactions on human health.
