Abstract
The use of serological surveys is nowadays a common way to study the epidemiology of many infections. In case a single cross-sectional survey is available, one needs to assume that the disease is in steady state. While reasonable for some infections, as illustrated in earlier chapters, this assumption might be untenable for other situations. In this chapter we address methods to estimate age- and time-specific prevalence and force of infection from a series of prevalence surveys. Models such as the proportional hazards model of Nagelkerke et al. (1999) are discussed and illustrated on hepatitis A and tuberculosis data.
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© 2012 Springer Science+Business Media New York
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Hens, N., Shkedy, Z., Aerts, M., Faes, C., Van Damme, P., Beutels, P. (2012). Estimating Age-Time Dependent Prevalence and Force of Infection from Serial Prevalence Data. In: Modeling Infectious Disease Parameters Based on Serological and Social Contact Data. Statistics for Biology and Health, vol 63. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4072-7_13
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DOI: https://doi.org/10.1007/978-1-4614-4072-7_13
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-4071-0
Online ISBN: 978-1-4614-4072-7
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