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Establishment of a database for the epidemiological analysis of the AIV occurrence in wild birds in Germany

Project

Production processes

This project contributes to the research aim 'Production processes'. Which funding institutions are active for this aim? What are the sub-aims? Take a look:
Production processes


Project code: FLI-IfE-08-228
Contract period: 01.09.2006 - 30.08.2009
Purpose of research: Applied research

At present, the occurrence of HPAIV H5N1 in wild birds in Germany is the highest risk potential for domestic poultry holdings. As the infection of wild birds can hardly be influenced by man, monitoring of the wild bird populations is of special importance, as it permits conclusions on the occurrence of HPAIV H5N1 in different regions. In Germany, wild bird monitoring has already been established, mainly in the responsibility of the individual federal states. In addition to an evaluation for the individual federal states, the available data must be analysed epidemiologically on the national level. For this purpose, a database analogously to the existing database on classical swine fever in wild boar must be established, where animal species, date and place of sampling, findings (positive and negative test results) and diagnostic method are entered. Sampling must include animal species which are not included in the regular monitoring (rare duck species; use of the so-called bycatch by wild birds in inshore fishing). For the analysis, the situation before and after the introduction of HPAIV H5N1 into Germany must be considered. The course of the spread and the affected species spectrum among wild birds and other animals must be investigated epidemiologically. To provide reliable epidemiological data (e.g. estimation of prevalence and incidence) and to permit an analysis of the available data with regard to potential risk factors, which might promote a spread of the infection (analytical epidemiology), the results of all sampled animals must be documented independently of the test results (detection or no detection of H5N1) in a standardised form. These data will then be analysed mathematically/statistically, the spatio-temporal development of the infection will be analysed and visualised (e.g. by cartography). Based on the extent of random sampling (number of sampled animals per species), the accuracy of the estimations must be determined. Mathematical models which might help predict the further development of the infection in wild animals will be established based on the data collected by wild bird monitoring. To establish the analyses promptly and to permit a use of the findings for risk assessments, this project must be started immediately.

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Subjects

Framework programme

BMEL Frameworkprogramme 2008

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