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      Animal Health Surveillance in Scotland in 2030: Using Scenario Planning to Develop Strategies in the Context of “Brexit”

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          Abstract

          Animal health surveillance is necessary to protect human and animal health, rural economies, and the environment from the consequences of large-scale disease outbreaks. In Scotland, since the Kinnaird review in 2011, efforts have been made to engage with stakeholders to ensure that the strategic goals of surveillance are better aligned with the needs of the end-users and other beneficiaries. The aims of this study were to engage with Scottish surveillance stakeholders and multidisciplinary experts to inform the future long-term strategy for animal health surveillance in Scotland. In this paper, we describe the use of scenario planning as an effective tool for the creation and exploration of five plausible long-term futures; we describe prioritization of critical drivers of change (i.e., international trade policy, data-sharing philosophies, and public versus private resourcing of surveillance capacity) that will unpredictably influence the future implementation of animal health surveillance activities. We present 10 participant-developed strategies to support 3 long-term visions to improve future resilience of animal health surveillance and contingency planning for animal and zoonotic disease outbreaks in Scotland. In the absence of any certainty about the nature of post-Brexit trade agreements for agriculture, participants considered the best investments for long-term resilience to include data collection strategies to improve animal health benchmarking, user-benefit strategies to improve digital literacy in farming communities, and investment strategies to increase veterinary and scientific research capacity in rural areas. This is the first scenario planning study to explore stakeholder beliefs and perceptions about important environmental, technological, societal, political, and legal drivers (in addition to epidemiological “risk factors”) and effective strategies to manage future uncertainties for both the Scottish livestock industry and animal health surveillance after Brexit. This insight from stakeholders is important to improve uptake and implementation of animal heath surveillance activities and the future resilience of the livestock industry. The conclusions drawn from this study are applicable not only to Scotland but to other countries and international organizations involved in global animal health surveillance activities.

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          Preemption, precaution, preparedness: Anticipatory action and future geographies

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            The origins and evolution of scenario techniques in long range business planning

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              ProMED-mail: an early warning system for emerging diseases.

              The Program for Monitoring Emerging Diseases (ProMED-mail) reports on outbreaks of diseases of infectious or toxic etiology, whether natural or intentionally released, that affect humans. Open to all sources, free of political constraints, and available to users free of charge, ProMED-mail exploits the speed and ubiquity of the Internet to serve as an early warning system for the detection of emerging disease outbreaks. ProMED-mail monitors diseases of plants and animals of agricultural importance in addition to zoonoses because of their key role in disease emergence. Reports are carefully screened for validity and are placed in an appropriate context by commentary and references from a panel of expert moderators. Reports are then posted to the Web and sent by e-mail to >32,000 subscribers in >150 countries.
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                Author and article information

                Contributors
                Journal
                Front Vet Sci
                Front Vet Sci
                Front. Vet. Sci.
                Frontiers in Veterinary Science
                Frontiers Media S.A.
                2297-1769
                27 November 2017
                2017
                : 4
                : 201
                Affiliations
                [1] 1School of Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow , Glasgow, United Kingdom
                [2] 2Epidemiology Research Unit, Scotland’s Rural College (SRUC) , Inverness, United Kingdom
                [3] 3The Roslin Institute, University of Edinburgh , Edinburgh, United Kingdom
                [4] 4Biomathematics and Statistics Scotland, James Clerk Maxwell Building (JCMB) , Edinburgh, United Kingdom
                Author notes

                Edited by: Damian Maye, University of Gloucestershire, United Kingdom

                Reviewed by: Rhiannon Kate Naylor, Royal Agricultural University, United Kingdom; Andrew Donaldson, Newcastle University, United Kingdom

                *Correspondence: Lisa A. Boden, lisa.boden@ 123456glasgow.ac.uk

                EPIC, Scottish Government’s Centre of Expertise on Animal Disease Outbreaks www.epicscotland.org.

                Specialty section: This article was submitted to Veterinary Humanities and Social Sciences, a section of the journal Frontiers in Veterinary Science

                Article
                10.3389/fvets.2017.00201
                5711829
                29230402
                4f4931bf-d190-4ba4-a020-120c104fea70
                Copyright © 2017 Boden, Auty, Reeves, Rydevik, Bessell and McKendrick.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 05 July 2017
                : 08 November 2017
                Page count
                Figures: 2, Tables: 3, Equations: 0, References: 66, Pages: 19, Words: 15735
                Categories
                Veterinary Science
                Original Research

                futures,scenario planning,uncertainty,resilience,public health,notifiable diseases,surveillance,brexit

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