作者: Jennifer Orme-Zavaleta , Jane Jorgensen , Bruce D'Ambrosio , Eric Altendorf , Philippe A. Rossignol
DOI: 10.1111/J.1539-6924.2006.00738.X
关键词: Public health 、 Temporal models 、 Geography 、 Cartography 、 Infectious disease (medical specialty) 、 Disease 、 Operations research 、 High morbidity 、 West Nile virus 、 Community model 、 Wildlife
摘要: Emerging infectious diseases are characterized by complex interactions among disease agents, vectors, wildlife, humans, and the environment. (1-3) Since appearance of West Nile virus (WNV) in New York City 1999, it has infected over 8,000 people United States, resulting several hundred deaths 46 contiguous states.(4) The is transmitted mosquitoes maintained various bird reservoir hosts. (5) Its unexpected introduction, high morbidity, rapid spread have left public health agencies facing severe time constraints a theory-poor environment, dependent largely on observational data collected independent survey efforts much uncertainty. Current knowledge may be expressed as priori models learned from data. Accordingly, we applied Bayesian probabilistic relational approach to generate spatially temporally linked heterogeneous sources. Using multiple sources Maryland, discovered integrated context which birds plausible indicators for positive mosquito pools human cases 2001 2002.