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Economic Assessment of Zoonoses Surveillance in a ‘One Health’ Context: A Conceptual Framework

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Economic Assessment of Zoonoses Surveillance in a ‘One Health’ Context: A Conceptual Framework

Auteurs : S. Babo Martins [Royaume-Uni, Suisse] ; J. Rushton [Royaume-Uni] ; K. D. C. St Rk [Royaume-Uni, Suisse]

Source :

RBID : ISTEX:2F7E6354A647E521E250C966483AE92E6733F531

Abstract

Collaboration between animal and public health sectors has been highlighted as a means to improve the management of zoonotic threats. This includes surveillance systems for zoonoses, where enhanced cross‐sectoral integration and sharing of information are seen as key to improved public health outcomes. Yet, there is a lack of evidence on the economic returns of such collaboration, particularly in the development and implementation of surveillance programmes. The economic assessment of surveillance in this context needs to be underpinned by the understanding of the links between zoonotic disease surveillance in animal populations and the wider public health disease mitigation process and how these relations impact on the costs and benefits of the surveillance activities. This study presents a conceptual framework of these links as a basis for the economic assessment of cross‐sectoral zoonoses surveillance with the aim of supporting the prioritization of resource allocation to surveillance. In the proposed framework, monetary, non‐monetary and intermediate or intangible cost components and benefit streams of three conceptually distinct stages of zoonotic disease mitigation are identified. In each stage, as the final disease mitigation objective varies so does the use of surveillance information generated in the animal populations for public health decision‐making. Consequently, the associated cost components and benefit streams also change. Building on the proposed framework and taking into account these links, practical steps for its application are presented and future challenges are discussed.

Url:
DOI: 10.1111/zph.12239

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ISTEX:2F7E6354A647E521E250C966483AE92E6733F531

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