Modelling the spatial patterns of influenza incidence in Sweden
Information about the spatial spread of epidemics can be useful for many purposes. The spatial aspect of Swedish influenza data was analyzed with the main aim of finding patterns that could be useful for statistical surveillance of the outbreak, i.e. for detecting an increase in incidence as soon as possible. In Sweden, two types of data are collected during the influenza season: laboratory diagnosed cases (LDI), collected by a number of laboratories, and cases of influenza-like illness (ILI), c... merollected by a number of selected physicians. Quality problems were found for both types of data but were most severe for ILI. No evidence for a geographical pattern was found. Instead, it was found that the influenza outbreak starts at about the same time in the major cities and then occurs in the rest of the country. The data were divided into two groups, a metropolitan group representing the major cities and a locality group representing the rest of the country. The properties of the metropolitan group and the locality group were studied and it was found that the time difference in the onset of the outbreak was about one week. Both parametric and nonparametric regression models were suggested.
|Date of creation:||17 Sep 2010|
|Publication status:||Published as Schiöler, Linus, 'Modelling the spatial patterns of influenza incidence in Sweden' in Scandinavian Journal of Public Health, 2011, pages 427-436.|
|Contact details of provider:|| Postal: Statistical Research Unit, University of Gothenburg, Box 640, SE 40530 GÖTEBORG|
Web page: http://www.statistics.gu.se/
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- Andersson, Eva & Bock, David & Frisén, Marianne, 2007. "Modeling influenza incidence for the purpose of on-line monitoring," Research Reports 2007:5, Statistical Research Unit, Department of Economics, School of Business, Economics and Law, University of Gothenburg.
- Marianne Frisen & Eva Andersson & Linus Schioler, 2010.
"Evaluation of multivariate surveillance,"
Journal of Applied Statistics,
Taylor & Francis Journals, vol. 37(12), pages 2089-2100.
- Frisén, Marianne & Andersson, Eva & Schiöler, Linus, 2009. "Evaluation of multivariate surveillance," Research Reports 2009:1, Statistical Research Unit, Department of Economics, School of Business, Economics and Law, University of Gothenburg.
- AfDB AfDB, . "AfDB Group Annual Report 2005," Annual Report, African Development Bank, number 61 edited by Koua Louis Kouakou.
- Martin Kulldorff, 2001. "Prospective time periodic geographical disease surveillance using a scan statistic," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(1), pages 61-72.
- Frisén, Marianne & Andersson, Eva & Schiöler, Linus, 2007. "Robust outbreak surveillance of epidemics in Sweden," Research Reports 2007:12, Statistical Research Unit, Department of Economics, School of Business, Economics and Law, University of Gothenburg. Full references (including those not matched with items on IDEAS)
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