For instance, social contact data studies have shown better goodness-of-fit than mathematical and parsimonious models on seroprevalence data for varicella. While most models make assumptions on transmission parameters, social contact data studies estimate the probability of contacts between individuals, and consequently of potential pathogen transmission. Mathematical modelling of infectious diseases is invaluable to evaluate control and prevention strategies by comparing their (cost-)effectiveness and to inform public health decision makers. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors. There are no patents, products in development or marketed products to declare.

The survey for this study was carried out by IPSOS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: GlaxoSmithKline provided an unconditional grant to Université Catholique de Lille to which SK is affiliated to. GB acknowledges support from a bilateral special research fund from Hasselt University (BOF14BL07). įunding: GlaxoSmithKline provided an unconditional grant to Université Catholique de Lille to which belong SK. Raw data needed to reproduce the analysis and the programming code are freely available from and from Figshare. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are creditedĭata Availability: All relevant data (notably contact matrixes) are within the paper and its Supporting Information files. Received: MaAccepted: JPublished: July 15, 2015Ĭopyright: © 2015 Béraud et al.

PLoS ONE 10(7):Įditor: Jen-Hsiang Chuang, Centers for Disease Control, TAIWAN (2015) The French Connection: The First Large Population-Based Contact Survey in France Relevant for the Spread of Infectious Diseases. Citation: Béraud G, Kazmercziak S, Beutels P, Levy-Bruhl D, Lenne X, Mielcarek N, et al.

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