Title
A penalized likelihood approach to estimate within-household contact networks from egocentric data A penalized likelihood approach to estimate within-household contact networks from egocentric data
Author
Faculty/Department
Faculty of Medicine and Health Sciences
Publication type
article
Publication
London ,
Subject
Mathematics
Source (journal)
Journal of the Royal Statistical Society: series C: applied statistics. - London
Volume/pages
62(2013) :4 , p. 629-648
ISSN
0035-9254
ISI
000321706600007
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Acute infectious diseases are transmitted over networks of social contacts. Epidemic models are used to predict the spread of emergent pathogens and to compare intervention strategies. Many of these models assume equal probability of contact within mixing groups (homes, schools, etc.), but little work has inferred the actual contact network, which may influence epidemic estimates. We develop a penalized likelihood method to infer contact networks within households, which are a key area for disease transmission. Using egocentric surveys of contact behaviour in Belgium, we estimate within-household contact networks for six different age compositions. Our estimates show dependence in contact behaviour and vary substantively by age composition, with fewer contacts in older households. Our results are relevant for epidemic models that are used to make policy recommendations.
E-info
https://repository.uantwerpen.be/docman/iruaauth/d69b41/8575361.pdf
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