Literature DB >> 12441234

Risk-based design of repeated surveys for the documentation of freedom from non-highly contagious diseases.

Daniela C Hadorn1, Jürg Rüfenacht, Ruth Hauser, Katharina D C Stärk.   

Abstract

The documentation of freedom from disease requires reliable information on the actual disease status in a specific animal population. The implementation of active surveillance (surveys) is an effective method to gain this information. For economical reasons, the sample size should be as small as possible but large enough to achieve the required confidence level for a targeted threshold. When conducting surveys repeatedly, various information sources about the disease status of the population can be taken into account to adjust the required level of confidence for a follow-up survey (e.g. risk assessments regarding disease introduction and results of previous surveys). As a benefit, the sample size for national surveys can be reduced considerably. We illustrate this risk-based approach using examples of national surveys conducted in Switzerland. The sample size for the documentation of freedom from enzootic bovine leucosis (EBL) and Brucella melitensis in sheep and in goats could be reduced from 2325 to 415 cattle herds, from 2325 to 838 sheep herds and from 1975 to 761 goat herds, respectively. Copyright 2002 Elsevier Science B.V.

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Year:  2002        PMID: 12441234     DOI: 10.1016/s0167-5877(02)00193-9

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  5 in total

1.  Using scenario tree modelling for targeted herd sampling to substantiate freedom from disease.

Authors:  Sarah Blickenstorfer; Heinzpeter Schwermer; Monika Engels; Martin Reist; Marcus G Doherr; Daniela C Hadorn
Journal:  BMC Vet Res       Date:  2011-08-16       Impact factor: 2.741

2.  Concepts for risk-based surveillance in the field of veterinary medicine and veterinary public health: review of current approaches.

Authors:  Katharina D C Stärk; Gertraud Regula; Jorge Hernandez; Lea Knopf; Klemens Fuchs; Roger S Morris; Peter Davies
Journal:  BMC Health Serv Res       Date:  2006-02-28       Impact factor: 2.655

3.  Evaluation of farm-level parameters derived from animal movements for use in risk-based surveillance programmes of cattle in Switzerland.

Authors:  Sara Schärrer; Stefan Widgren; Heinzpeter Schwermer; Ann Lindberg; Beatriz Vidondo; Jakob Zinsstag; Martin Reist
Journal:  BMC Vet Res       Date:  2015-07-14       Impact factor: 2.741

4.  Development of a stochastic agent-based model to evaluate surveillance strategies for detection of emergent porcine reproductive and respiratory syndrome strains.

Authors:  A G Arruda; Z Poljak; D Knowles; A McLean
Journal:  BMC Vet Res       Date:  2017-06-12       Impact factor: 2.741

5.  A stochastic simulation model to determine the sample size of repeated national surveys to document freedom from bovine herpesvirus 1 (BoHV-1) infection.

Authors:  Lea Knopf; Heinzpeter Schwermer; Katharina D C Stärk
Journal:  BMC Vet Res       Date:  2007-05-18       Impact factor: 2.741

  5 in total

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