Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13956
Title: Robust Reconstruction and Analysis of Outbreak Data: Influenza A(H1N1)v Transmission in a School-based Population
Authors: HENS, Niel 
Calatayud, Laurence
Kurkela, Satu
Tamme, Teele
Wallinga, Jacco
Issue Date: 2012
Publisher: OXFORD UNIV PRESS INC
Source: AMERICAN JOURNAL OF EPIDEMIOLOGY, 176 (3), p. 196-203
Abstract: The rapid spread of the new influenza virus A(H1N1)v in young age groups in 2009 has been partly attributed to a high transmission intensity in schools. However, detailed characterization of the spread of influenza in school populations has been difficult to obtain, simply because it is very hard to identify who infected whom in a large outbreak. Data collected in large outbreak investigations typically miss many transmission events, and some reported transmission events will be incorrect. Here the authors present robust likelihood-based methods that can be used to analyze outbreak data while explicitly accounting for both missing data and erroneous data. They apply this method to a school-based outbreak of pandemic influenza A(H1N1)v that occurred in London, United Kingdom, in April 2009. The authors show that the generation interval in this school-based population was 2.20 days and that the reproduction number declined coincident with school closure, from 1.33 secondary cases per primary case to 0.43 secondary cases per primary case. These results provide quantitative evidence for the change in influenza transmission that is to be expected from school closure.
Notes: [Hens, Niel] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. niel.hens@uhasselt.be
Keywords: Public, Environmental & Occupational Health; basic reproduction number; communicable diseases; disease outbreaks; disease transmission; infectious; epidemiologic measures; influenza A virus; H1N1 subtype; missing data;basic reproduction number; communicable diseases; disease outbreaks; disease transmission; infectious; epidemiologic methods; influenza A virus; H1N1 subtype; missing data
Document URI: http://hdl.handle.net/1942/13956
ISSN: 0002-9262
e-ISSN: 1476-6256
DOI: 10.1093/aje/kws006
ISI #: 000306923800004
Category: A1
Type: Journal Contribution
Validations: ecoom 2013
Appears in Collections:Research publications

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