Stochastic models to simulate paratuberculosis in dairy herds

Autor: Nielsen, S. S., Weber, M. F., Kudahl, A. B., Marce, C., Nils Toft
Přispěvatelé: Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), GD - Animal Health Service, Aarhus University [Aarhus], ONIRIS-INRA - Umr 1300 Bioagression, Epidémiologie et Analyse de Risque, Ecole Nationale Vétérinaire, Agroalimentaire et de l'alimentation Nantes-Atlantique (ONIRIS), Royal Veterinary College - University of London
Rok vydání: 2011
Předmět:
Zdroj: Europe PubMed Central
Revue Scientifique et Technique-Office International des Epizooties
Revue Scientifique et Technique-Office International des Epizooties, Oie Office International des Epizooties, 2011, 30 (2), pp.615-625
Scopus-Elsevier
University of Copenhagen
Nielsen, S S, Weber, M F, Kudahl, A M B, Marce, C & Toft, N 2011, ' Stochastic models to simulate paratuberculosis in dairy herds ', Revue Scientifique et Technique, vol. 30, no. 2, pp. 615-625 .
ISSN: 0253-1933
1608-0637
Popis: Stochastic simulation models are widely accepted as a means of assessing the impact of changes in daily management and the control of different diseases, such as paratuberculosis, in dairy herds. This paper summarises and discusses the assumptions of four stochastic simulation models and their use in the design of certification, surveillance, and control strategies for paratuberculosis in cattle herds. A detailed comparison is made between the Dutch JohneSSim and the Danish PTB-Simherd, using the same context of a set of control strategies in a typical Dutch/Danish herd. The conclusion is that while the models are somewhat different in their underlying principles and do put slightly different values on the different strategies, their overall findings are similar. Therefore, simulation models may be useful in planning paratuberculosis strategies in dairy herds, although as with all models caution is warranted when interpreting and generalising the results.
Databáze: OpenAIRE
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