PNNL

Abstract

Biosurveillance analyzes timely data, often fusing time series of many different types of data, to infer the status of public health rather than solely exploiting data having diagnostic specificity. Integrated biosurveillance requires a synthesis of analytic approaches derived from the natural disaster, public health, medical, meteorological, and social science communities, among others, and it is the cornerstone of early disease detection. This paper summarizes major systems dedicated to such an endeavor and emphasizes system capabilities that if creatively exploited could contribute to creation of an effective global biosurveillance enterprise.