MODELING INFECTIOUS DISEASE PARAMETERS BASED ON SEROLOGICAL AND SOCIAL CONTACT DATA by Niel Hens, Ziv Shkedy, Marc Aerts ( 9781489987969 )

Item Details

Title:

MODELING INFECTIOUS DISEASE PARAMETERS BASED ON SEROLOGICAL AND SOCIAL CONTACT DATA
A MODERN STATISTICAL PERSPECTIVE

By:

Format:

Paperback

List price:	£99.99
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ISBN 10:

1489987967

ISBN 13:

9781489987969

Publisher:

SPRINGER-VERLAG NEW YORK INC.

Pub. date:

15 October, 2014

Edition:

2012 ed.

Series:

Statistics for Biology and Health 63

Pages:

300

Description:

This guide to the latest statistical techniques for estimating the parameters of infectious diseases arises from a groundbreaking collaboration between Hasselt and Antwerp universities in Belgium, and features valuable case studies and software advice.

Synopsis:

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.

Illustrations:

35 Tables, black and white; XVI, 300 p.

Publication:

Imprint:

Springer-Verlag New York Inc.

Returns:

Returnable

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