The Leading eBooks Store Online 4,410,490 members ⚫ 1,532,108 ebooks

New to eBooks.com?

Learn more

Modeling Infectious Disease Parameters Based on Serological and Social Contact Data

A Modern Statistical Perspective

Modeling Infectious Disease Parameters Based on Serological and Social Contact Data by Niel Hens
Buy this eBook
US$ 129.00
(If any tax is payable it will be calculated and shown at checkout.)

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.

Springer New York; October 2012
299 pages; ISBN 9781461440727
Read online, or download in secure PDF format
Title: Modeling Infectious Disease Parameters Based on Serological and Social Contact Data
Author: Niel Hens; Ziv Shkedy; Marc Aerts; Christel Faes; Pierre Van Damme; Philippe Beutels
 
  • News
  • Contents
No entry found