arXiv 0806.35912008-06-22q-bio.PEphysics.soc-ph

Detecting Robust Patterns in the Spread of Epidemics: A Case Study of Influenza in the United States and France

Pascal Crépey, Marc Barthélemy

备注：: 8 pages, 7 figures, 3 tables
发表信息：: Am J Epidemiol. 2007 Dec 1;166(11):1244-51. Epub 2007 Oct 15
DOI：: 10.1093/aje/kwm266

英文摘要：

In this paper, the authors develop a method of detecting correlations between epidemic patterns in different regions that are due to human movement and introduce a null model in which the travel-induced correlations are cancelled. They apply this method to the well-documented cases of seasonal influenza outbreaks in the United States and France. In the United States (using data for 1972-2002), the authors observed strong short-range correlations between several states and their immediate neighbors, as well as robust long-range spreading patterns resulting from large domestic air-traffic flows. The stability of these results over time allowed the authors to draw conclusions about the possible impact of travel restrictions on epidemic spread. The authors also applied this method to the case of France (1984-2004) and found that on the regional scale, there was no transportation mode that clearly dominated disease spread. The simplicity and robustness of this method suggest that it could be a useful tool for detecting transmission channels in the spread of epidemics.

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