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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1465

Title: Modelling age-dependent force of infection from prevalence data using fractional polynomials
Authors: Shkedy, Ziv
Aerts, Marc
Molenberghs, Geert
Beutels, Phillipe
Van Damme, Pierre
Issue Date: 2006
Citation: STATISTICS IN MEDICINE, 25(9). p. 1577-1591
Abstract: The force of infection is one of the primary epidemiological parameters of infectious diseases. For many infectious diseases it is assumed that the force of infection is age-dependent. Although the force of infection can be estimated directly from a follow up study, it is much more common to have cross-sectional seroprevalence data from which the prevalence and the force of infection can be estimated. In this paper, we propose to model the force of infection within the framework of fractional polynomials. We discuss several parametric examples from the literature and show that all of these examples can be expressed as special cases of fractional polynomial models. We illustrate the method on five seroprevalence samples, two of Hepatitis A, and one of Rubella, Mumps and Varicella.
URI: http://hdl.handle.net/1942/1465
DOI: 10.1002/sim.2291
ISI #: 000237366000010
ISSN: 0277-6715
Category: A1
Type: Journal Contribution
Validation: ecoom, 2007
Appears in Collections: Research publications

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