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Activity Number:
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380
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #303923 |
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Title:
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Estimating Transmission Parameters for Infectious Diseases Using Social Contact Data
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Author(s):
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Niel Hens*+ and Nele Goeyvaerts and Benson Ogunjimi and Olivier Lejeune and Marc Aerts and Philippe Beutels
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Companies:
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Hasselt University and Hasselt University and University of Antwerp and University of Antwerp and Hasselt University and University of Antwerp
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Address:
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Agoralaan 1, Building D, Diepenbeek, International, 3590, Belgium
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Keywords:
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Infectious Diseases ; Basic Reproduction Number ; Social Contact Data ; Transmission Parameters
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Abstract:
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In dynamic models of infectious disease transmission, typically various mixing patterns are imposed on the so-called Who-Acquires-Infection-From-Whom matrix. These imposed mixing patterns are based on prior knowledge of social mixing behavior rather than observations. Alternatively, one can assume that transmission rates for airborne infections are quasi-proportional to rates of conversational contact which can be estimated from a contact survey. Based on these social contact data and serological data, we provide up-to-date statistical methodology to estimate the basic reproduction number and critical vaccination coverage for different viruses while taking into account the infection-specific dynamics. This general methodology makes it possible to obtain important information on transmission dynamics that cannot be inferred from approaches traditionally applied hitherto.
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