S-WoPEc
 
Scandinavian Working Papers in Economics
HomeAboutSeriesSubject/JEL codesAdvanced Search
Statistical Research Unit, Department of Economics, School of Business, Economics and Law, University of Gothenburg Resarch Reports

No 2007:12:
Robust outbreak surveillance of epidemics in Sweden

Marianne Frisén (), Eva Andersson () and Linus Schiöler ()

Abstract: Outbreak detection is of interest for several diseases and syndromes. The aim is to detect the progressing increase in the incidence as soon as possible after the onset of the outbreak. A semiparametric method is applied to Swedish data on tularemia and influenza. The method is constructed to detect a change from a constant level to a monotonically increasing incidence. If seasonal effects are present, the residuals from a model incorporating this can be used. The properties of the method are evaluated by application to Swedish influenza data on tularemia and influenza and by simulations. The suggested method is compared with subjective judgments and with other algorithms. The conclusion is that the method works well. A user-friendly computer program is described.

Keywords: Computer program; Exponential family; Influenza; Monitoring; Ordered regression; Subjective judgment; Tularemia; (follow links to similar papers)

JEL-Codes: C10; (follow links to similar papers)

20 pages, January 1, 2007

Download Statistics


This paper is published as:
Frisén, Marianne, Eva Andersson and Linus Schiöler, (2009), 'Robust outbreak surveillance of epidemics in Sweden', Statistics in Medicine, pages 476-493



Questions (including download problems) about the papers in this series should be directed to Linus Schiöler ()
Report other problems with accessing this service to Sune Karlsson () or Helena Lundin ().

Programing by
Design by Joachim Ekebom

Handle: RePEc:hhs:gunsru:2007_012 This page was generated on 2014-12-14 19:22:19