Using knowledge fusion to analyze avian influenza H5N1 in East and Southeast Asia.

摘要: Highly pathogenic avian influenza (HPAI) H5N1, a disease associated with high rates of mortality in infected human populations, poses serious threat to public health many parts the world. This article reports findings from study aimed at improving our understanding spatial pattern highly influenza, risk East-Southeast Asia where is both persistent and devastating. Though disciplines have made important contributions it remains challenge integrate knowledge different disciplines. applies genetic analysis that identifies evolution H5N1 virus space time, epidemiological determines socio-ecological factors occurrence, statistical outbreak clusters, then methodology formally three sets methodologies. The present novel two respects. First makes initiative attempt use sequences space-time data create phylogenetic tree estimate map virus' ability spread. Second, by integrating results we are able generate insights into occurrence spread believe higher level corroboration than possible when based on only one methodology. Our research links between area set including altitude, population density, poultry shortest path distances inland water, coastlines, migrating routes, railways, roads. seeks lay solid foundation for interdisciplinary this other outbreaks. It will provide substantive information containing