The impact of illness and the impact of school closure on social contact patterns.

Health Technology Assessment : HTA
Ken EamesW J Edmunds

Abstract

Mathematical models, based on data describing normal patterns of social mixing, are used to understand epidemics in order to predict patterns of disease spread and plan interventions and responses. However, individuals who are ill show behavioural changes that affect their social mixing patterns and predictive models should take into account these changes if they are to be effective. To describe and quantify the changes in (1) social contact behaviour experienced by individuals when they are ill with pandemic H1N1 influenza (swine flu) and (2) mixing patterns of school children that take place as a result of swine flu-related school closures. For the first part of the study, a self-completed questionnaire-based study was carried out in the autumn/winter of 2009-10. The study population was individuals who had been diagnosed with swine flu and who received a swine flu antiviral prescription from an antiviral distribution centre (ADC). It consisted of an initial survey to be filled in when participants were symptomatic with swine flu and a follow-up survey to be filled in when they had recovered. Each part of the questionnaire had two sections: patient details and a contact diary. The second part of the study was adapted to quant...Continue Reading

Citations

Apr 18, 2014·BMC Infectious Diseases·Simon CauchemezAngus Nicoll
Mar 14, 2012·PLoS Computational Biology·Ken T D EamesW John Edmunds
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Jun 2, 2015·PloS One·Adam J KucharskiKen T D Eames
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Feb 2, 2017·The Journal of School Health·Dominic ThorringtonKen Eames
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