SurF: an innovative framework in biosecurity and animal health surveillance evaluation

• DOI: 10.1111/tbed.12898
• Publication Date: 2018-05-17T04:15:40Z
• Authors: Petra Muellner; Jonathan Watts; Paul Bingham; Mark Bullians; Brendan Gould; Anjali Pande; Tim Riding; Paul Stevens; Daan Vink; Katharina DC Stärk
• Keywords: Risk Management; Cattle Diseases; 04 agricultural and veterinary sciences; Containment of Biohazards; Risk Assessment; Security Measures; 0403 veterinary science; Communicable Disease Control; Epidemiological Monitoring; Animals; Humans; Cattle; Animal Husbandry; New Zealand

Surveillance for biosecurity hazards is being conducted by the New Zealand Competent Authority, the Ministry for Primary Industries (MPI) to support New Zealand's biosecurity system. Surveillance evaluation should be an integral part of the surveillance life cycle, as it provides a means to identify and correct problems and to sustain and enhance the existing strengths of a surveillance system. The surveillance evaluation Framework (SurF) presented here was developed to provide a generic framework within which the MPI biosecurity surveillance portfolio, and all of its components, can be consistently assessed. SurF is an innovative, cross-sectoral effort that aims to provide a common umbrella for surveillance evaluation in the animal, plant, environment and aquatic sectors. It supports the conduct of the following four distinct components of an evaluation project: (i) motivation for the evaluation, (ii) scope of the evaluation, (iii) evaluation design and implementation and (iv) reporting and communication of evaluation outputs. Case studies, prepared by MPI subject matter experts, are included in the framework to guide users in their assessment. Three case studies were used in the development of SurF in order to assure practical utility and to confirm usability of SurF across all included sectors. It is anticipated that the structured approach and information provided by SurF will not only be of benefit to MPI but also to other New Zealand stakeholders. Although SurF was developed for internal use by MPI, it could be applied to any surveillance system in New Zealand or elsewhere.