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Research unit
FSVO
Project number
1.04.01
Project title
Risiko-based methods for the surveillance of animal health

Texts for this project

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Key words
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Short description
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Project aims
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Abstract
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Publications / Results
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Inserted texts


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Key words
(English)
Surveillance, wildlife, emerging diseases, sample size, survey
Short description
(German)
Given the continuing scarceness of resources and the increasing demand for science-based decision support, the development of economically optimal and yet scientifically valid methods is needed. A general trend towards risk-based surveillance has developed over the last years, but specific methods are not yet available. Risk-based approaches to surveillance are genuinely attractive because they promise the effective use of resources as surveillance will be targeted based on some prioritization process, i.e. risk. However, how exactly this should be achieved is unclear. A risk-based approach should cover issues such as risk assessment (including spatial risk assessment), sample size calculations, and the analysis of risk-based surveys. A risk-based approach is applicable to different populations and surveillance problems: Documentation of disease freedom, repeated surveys, surveillance in wildlife populations, and surveillance of emerging diseases including vector-borne diseases. The objectives of this project are to specify methods suitable for a risk-based approach to surveillance and to apply this approach to areas of animal health relevant to the Swiss Veterinary Services.
Project aims
(German)
1) To continue development and optimisation of methods for repeated surveys

2) To continue development and optimisation of methods for surveillance in wildlife populations

3) To continue development and optimisation of methods for emerging animal health problems
Abstract
(German)
Ein stochastisches Modell für IBR und EBL zur risiko-basierten Stichprobenberechnung der Seuchenfreiheit ist neu im Einsatz. Ein weiteres Post Doc Projekt zur methodologischen Weiterentwicklung von risiko-basierten Überwachungssystemen (SNF) konnte 2006 gestartet werden. Dank der mehrjährigen aktiven Seucheüberwachung bei Wildtieren konnte die Lage und Gefahr für Nutztiere eingeschätzt sowie weiterer Forschungsbedarf abgeklärt oder aufgegleist werden. Die Analyse der Daten des Rückstandsmonitorings in Schlachttieren und Fleisch brachte erste wichtige Erkenntnisse und die Modellierung eines risiko-basierten Szenarios für die Stichprobenplanung ist weiterhin in Ausarbeitung.
Publications / Results
(German)
Knopf, L.. (2006) Bei Weideschweinen ist Achtsamkeit geboten. Bauernzeitung / Ratgeber 28.04. 2006
Knopf, L.; Schwermer, H.; Stärk, K.D.C. (2006) Stochastisches Modell zur Berechnung der risiko-basierten IBR – Stichprobe zum Nachweis der Infektionsfreiheit (Poster), DVG Tagung: Von der Überwachung zur Bekämpfung, Vetsuisse Faculty, Univ.Bern, Switzerland
Knopf, L.; Köppel, C.; Leuenberger, R.; Miserez, R.; Thür, B.; Ryser, M-P.; Stärk, K.D.C. (2006) Erkenntnisse aus der mehrjährigen serologische Überwachung von Tierseuchenerregern beim Wildschwein in der Schweiz, DVG Tagung: Von der Überwachung zur Bekämpfung, Vetsuisse Faculty, Univ.Bern, Switzerland
Related documents
Publications / Results
(English)
Knopf, L.; Schwermer, H.; Stärk, K.D.C. (2006) A stochastic simulation model to determine the sample size of repeated national surveys to document freedom from bovine herpesvirus 1 (BoHV-1) infection. BMC Veterinary Research 3:10, Open Access.
Köppel, C.; Knopf, L.; Thür, B.; Vogt, HR.; Meli, ML.; Lutz, H.; .Stärk, K.D.C. (2007) Bovine virus diarrhoea and the vector-borne diseases Anaplasmosis and Bluetongue: a sero-surveillance in free-ranging red deer (Cervus elaphus) in selected areas of Switzerland. Europ J Wildl Res 53: 3, 226-230.
Köppel, C.;. Knopf, L.; Ryser, M.-P.; Miserez, R.; Thür, B.; Stärk, K.D.C. (2007) Sero-surveillance for selected infectious disease agents in wild boars and outdoor pigs in Switzerland. Europ J Wildl Res 53: 3, 212-220.
Presi, P.; Knopf, L.; Regula, G.; Frey, J.; Pacciarelli, B.; Stärk, K.D.C. (2006) Evaluation of the chemical residue monitoring in animal-derived products in Switzerland. Food Additives and Contaminants 24: 6, 590-597.
Knopf, L.; Schwermer, H.; Stärk, K.D.C. (2006) A stochastic simulation model to determine the sample size of consecutive national surveys to demonstrate freedom from bovine herpes virus 1 (BoHV1), SVEPM, Exeter, U.K.,
Knopf, L. (2004) Animal Movement Information for Analysis. International workshop on animal movement data in research, Royal Veterinary College, London, U.K.