Statistical approaches to the surveillance of infectious diseases for veterinary public health

Abstract

This technical report covers the aspect of using statistical methodology for the monitoring of routinely collected surveillance data in veterinary public health. An account of the Farrington algorithm and Poisson cumulative sum schemes for the detection of aberrations is given with special attention devoted to the occurrence of seasonality and spatial aggregation of the time series. Modelling approaches for retrospective analysis of surveillance counts are described. To illustrate the applicability of the methodology in veterinary public health, data from the surveillance of rabies among fox in Hesse, Germany, are analysed.

• Item Type: Paper (Technical Report)
• Keywords: Veterinary public health, outbreak detection, rabies, GIS
• Subjects: Mathematics, Computer Science and Statistics > Statistics > Technical Reports
• Language: English