title: A practical method to target individuals for outbreak detection and control.
abstract: Identification of individuals or subpopulations that contribute the most to disease transmission is key to target surveillance and control efforts. In a recent study in BMC Medicine, Smieszek and Salathé introduced a novel method based on readily available information about spatial proximity in high schools, to help identify individuals at higher risk of infection and those more likely to be infected early in the outbreak. By combining simulation models for influenza transmission with high-resolution data on school contact patterns, the authors showed that their proximity method compares favorably to more sophisticated methods using detailed contact tracing information. The proximity method is simple and promising, but further research is warranted to confront this method against real influenza outbreak data, and to assess the generalizability of the approach to other important transmission units, such as work, households, and transportation systems.See related research article here http://www.biomedcentral.com/1741-7015/11/35.
authors: Mathematical and Computational Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA. gchowell@asu.edu
authors: Gerardo
authors: G
authors: Chowell
authors: Cécile
authors: C
authors: Viboud
mesh_terms: D003140:Communicable Disease Control / Q000191:economics* / Q000379:methods*; D003141:Communicable Diseases / Q000175:diagnosis* / Q000635:transmission*; D004196:Disease Outbreaks / Q000517:prevention & control*; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008297:Male
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