Author:
READ J. M.,EDMUNDS W. J.,RILEY S.,LESSLER J.,CUMMINGS D. A. T.
Abstract
SUMMARYA central tenet of close-contact or respiratory infection epidemiology is that infection patterns within human populations are related to underlying patterns of social interaction. Until recently, few researchers had attempted to quantify potentially infectious encounters made between people. Now, however, several studies have quantified social mixing behaviour, using a variety of methods. Here, we review the methodologies employed, suggest other appropriate methods and technologies, and outline future research challenges for this rapidly advancing field of research.
Publisher
Cambridge University Press (CUP)
Subject
Infectious Diseases,Epidemiology
Reference114 articles.
1. Bayesian inference for contact networks given epidemic data;Groendyke;Scandinavian Journal of Statistics,2011
2. Van Druten JAM , Mumps, measles and rubella, a longitudinal serological study into degree of protection and risk of infection [in Dutch]. (Eindverslag Praeventiefondsproject no. 28-1348). The Hague, the Netherlands: Praeventiefonds, 1990.
3. Quantifying social distancing arising from pandemic influenza
4. Social and Geographic Distance in HIV Risk
5. The effect of public health measures on the 1918 influenza pandemic in U.S. cities
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