Literature DB >> 22305661

National animal health surveillance: Return on investment.

Aaron E Scott1, Kenneth W Forsythe, Cynthia L Johnson.   

Abstract

A weighted benefit-cost analysis (BCA) supports prioritization of animal health surveillance activities to safeguard animal agriculture industries and reduce the impact of disease on the national economy. We propose to determine the value of investment in surveillance by assessing benefits from: avoiding disease incursion and expansion modified by the probability of occurrence of the disease event, the sensitivity of systems to detect it, and the degree to which we can mitigate disease impact when detected. The weighted benefit-cost ratio is the modified value of surveillance as laid out above divided by the cost of surveillance. We propose flexible, stream-based surveillance that capitalizes on combining multiple streams of information from both specific pathogen based and non-pathogen based surveillance. This stream-based type of system provides high value with lower costs and will provide a high return for the funds invested in animal health surveillance. Published by Elsevier B.V.

Mesh:

Year:  2012        PMID: 22305661     DOI: 10.1016/j.prevetmed.2012.01.007

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


  2 in total

1.  Advancing a framework to enable characterization and evaluation of data streams useful for biosurveillance.

Authors:  Kristen J Margevicius; Nicholas Generous; Kirsten J Taylor-McCabe; Mac Brown; W Brent Daniel; Lauren Castro; Andrea Hengartner; Alina Deshpande
Journal:  PLoS One       Date:  2014-01-02       Impact factor: 3.240

2.  The Perceived Value of Passive Animal Health Surveillance: The Case of Highly Pathogenic Avian Influenza in Vietnam.

Authors:  A Delabouglise; N Antoine-Moussiaux; T D Phan; D C Dao; T T Nguyen; B D Truong; X N T Nguyen; T D Vu; K V Nguyen; H T Le; G Salem; M Peyre
Journal:  Zoonoses Public Health       Date:  2015-07-03       Impact factor: 2.702

  2 in total

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