www.uhasselt.be
DSpace

Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15374

Title: A penalized likelihood approach to estimate within-household contact networks from egocentric data
Authors: Potter, Gail E.
HENS, Niel
Issue Date: 2013
Publisher: WILEY-BLACKWELL
Citation: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 62 (4), p. 629-648
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.
Notes: [Potter, Gail E.] Calif Polytech State Univ San Luis Obispo, San Luis Obispo, CA 93407 USA. [Potter, Gail E.] Fred Hutchinson Canc Res Ctr, Seattle, WA 98104 USA. [Hens, Niel] Hasselt Univ, Diepenbeek, Belgium. [Hens, Niel] Univ Antwerp, Antwerp, Belgium. gail.potter@calpoly.edu
URI: http://hdl.handle.net/1942/15374
DOI: 10.1111/rssc.12011
ISI #: 000321706600007
ISSN: 0035-9254
Category: A1
Type: Journal Contribution
Validation: ecoom, 2014
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
published version356.9 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.