Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14721
Title: A Nice Day for an Infection? Weather Conditions and Social Contact Patterns Relevant to Influenza Transmission
Authors: WILLEM, Lander 
VAN KERCKHOVE, Kim 
Chao, Dennis L.
HENS, Niel 
Beutels, Philippe
Issue Date: 2012
Source: PLoS One, 7 (11), p. e48695
Abstract: Although there is no doubt that significant morbidity and mortality occur during annual influenza epidemics, the role of contextual circumstances, which catalyze seasonal influenza transmission, remains unclear. Weather conditions are believed to affect virus survival, efficiency of transmission and host immunity, but seasonality may also be driven by a tendency of people to congregate indoors during periods of bad weather. To test this hypothesis, we combined data from a social contact survey in Belgium with local weather data. In the absence of a previous in-depth weather impact analysis of social contact patterns, we explored the possibilities and identified pitfalls. We found general dominance of day-type (weekend, holiday, working day) over weather conditions, but nonetheless observed an increase in long duration contacts (>1 hour) on regular workdays with low temperatures, almost no precipitation and low absolute humidity of the air. Interestingly, these conditions are often assumed to be beneficial for virus survival and transmission. Further research is needed to establish the impact of the weather on social contacts. We recommend that future studies sample over a broad spectrum of weather conditions and day types and include a sufficiently large proportion of holiday periods and weekends.
Document URI: http://hdl.handle.net/1942/14721
ISSN: 1932-6203
e-ISSN: 1932-6203
DOI: 10.1371/journal.pone.0048695
ISI #: 000311151900033
Rights: (c) 2012 Willem et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Category: A1
Type: Journal Contribution
Validations: ecoom 2014
Appears in Collections:Research publications

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