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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Modeling Infectious Disease Parameters Based on Serological and Social Contact Data - A Modern Statistical Perspective (Paperback, 2012 ed.)
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Modeling Infectious Disease Parameters Based on Serological and Social Contact Data - A Modern Statistical Perspective (Paperback, 2012 ed.)
Series: Statistics for Biology and Health, 63
Expected to ship within 10 - 15 working days
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Mathematical epidemiology of infectious diseases usually involves
describing the flow of individuals between mutually exclusive
infection states. One of the key parameters describing the
transition from the susceptible to the infected class is the hazard
of infection, often referred to as the force of infection. The
force of infection reflects the degree of contact with potential
for transmission between infected and susceptible individuals. The
mathematical relation between the force of infection and effective
contact patterns is generally assumed to be subjected to the mass
action principle, which yields the necessary information to
estimate the basic reproduction number, another key parameter in
infectious disease epidemiology. It is within this context that the
Center for Statistics (CenStat, I-Biostat, Hasselt University) and
the Centre for the Evaluation of Vaccination and the Centre for
Health Economic Research and Modelling Infectious Diseases (CEV,
CHERMID, Vaccine and Infectious Disease Institute, University of
Antwerp) have collaborated over the past 15 years. This book
demonstrates the past and current research activities of these
institutes and can be considered to be a milestone in this
collaboration. This book is focused on the application of modern
statistical methods and models to estimate infectious disease
parameters. We want to provide the readers with software guidance,
such as R packages, and with data, as far as they can be made
publicly available.
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