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      VetCompass Australia: A National Big Data Collection System for Veterinary Science

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          Abstract

          Simple Summary

          The VetCompass Australia program collects real-time clinical records from veterinary practices and aggregates them for researchers to interrogate. It delivers Australian researchers sustainable and cost-effective access to authoritative data from hundreds of veterinary practitioners, across Australia and opens up major international collaborative opportunities with related projects in the United Kingdom and elsewhere.

          Abstract

          VetCompass Australia is veterinary medical records-based research coordinated with the global VetCompass endeavor to maximize its quality and effectiveness for Australian companion animals (cats, dogs, and horses). Bringing together all seven Australian veterinary schools, it is the first nationwide surveillance system collating clinical records on companion-animal diseases and treatments. VetCompass data service collects and aggregates real-time, clinical records for researchers to interrogate, delivering sustainable and cost-effective access to data from hundreds of veterinary practitioners nationwide. Analysis of these clinical records will reveal geographical and temporal trends in the prevalence of inherited and acquired diseases, identify frequently prescribed treatments, revolutionize clinical auditing, help the veterinary profession to rank research priorities, and assure evidence-based companion-animal curricula in veterinary schools. VetCompass Australia will progress in three phases: (1) roll-out of the VetCompass platform to harvest Australian veterinary clinical record data; (2) development and enrichment of the coding (data-presentation) platform; and (3) creation of a world-first, real-time surveillance interface with natural language processing (NLP) technology. The first of these three phases is described in the current article. Advances in the collection and sharing of records from numerous practices will enable veterinary professionals to deliver a vastly improved level of care for companion animals that will improve their quality of life.

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              A systematic review was conducted by a multidisciplinary team to analyze qualitatively best available scientific evidence on the effect of agricultural intensification and environmental changes on the risk of zoonoses for which there are epidemiological interactions between wildlife and livestock. The study found several examples in which agricultural intensification and/or environmental change were associated with an increased risk of zoonotic disease emergence, driven by the impact of an expanding human population and changing human behavior on the environment. We conclude that the rate of future zoonotic disease emergence or reemergence will be closely linked to the evolution of the agriculture-environment nexus. However, available research inadequately addresses the complexity and interrelatedness of environmental, biological, economic, and social dimensions of zoonotic pathogen emergence, which significantly limits our ability to predict, prevent, and respond to zoonotic disease emergence.
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                Author and article information

                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                26 September 2017
                October 2017
                : 7
                : 10
                : 74
                Affiliations
                [1 ]Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia; paul.mcgreevy@ 123456sydney.edu.au (P.M.); navneet.dhand@ 123456sydney.edu.au (N.K.D.)
                [2 ]School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia; peter.thomson@ 123456sydney.edu.au
                [3 ]Charles Perkins Centre and School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; david.raubenheimer@ 123456sydney.edu.au
                [4 ]Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee, VIC 3030, Australia; cmans@ 123456unimelb.edu.au
                [5 ]School of Computing and Information Systems, University of Melbourne, Parkville, VIC 3010, Australia; tb@ 123456ldwin.net
                [6 ]School of Veterinary Science, University of Queensland, Gatton, QLD 4343, Australia; r.magalhaes@ 123456uq.edu.au (R.J.S.M.); j.rand@ 123456uq.edu.au (J.R.)
                [7 ]Child Health Research Centre, University of Queensland, South Brisbane, QLD 4101, Australia
                [8 ]School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA 5371, Australia; p.hill@ 123456adelaide.edu.au (P.H.); anne.peaston@ 123456adelaide.edu.au (A.P.)
                [9 ]Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia; jrgilk@ 123456unimelb.edu.au
                [10 ]School of Animal and Veterinary Science, Faculty of Science, Charles Sturt University, Wagga, NSW 2650, Australia; macombs@ 123456csu.edu.au (M.C.); shraidal@ 123456csu.edu.au (S.R.)
                [11 ]School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia; p.irwin@ 123456murdoch.edu.au (P.I.); P.Irons@ 123456murdoch.edu.au (P.I.)
                [12 ]College of Public Health, Medical and Veterinary Science, James Cook University, Townsville, QLD 4811, Australia; richard.squires@ 123456jcu.edu.au
                [13 ]Pathobiology and Population Services, Royal Veterinary College, University of London, Hertfordshire AL9 7TA, UK; dbrodbelt@ 123456rvc.ac.uk
                [14 ]Information and Communications Technology, University of Sydney, NSW 2006, Australia; jeremy.hammond@ 123456sydney.edu.au
                Author notes
                [* ]Correspondence: sophie.masters@ 123456sydney.edu.au ; Tel.: +61-409-990-037
                Author information
                https://orcid.org/0000-0002-7501-2415
                Article
                animals-07-00074
                10.3390/ani7100074
                5664033
                28954419
                973060b7-28b7-4f80-b935-9ef595a29933
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 04 August 2017
                : 21 September 2017
                Categories
                Article

                companion animals,canine,feline,equine,disease surveillance,veterinary,electronic patient record,epidemiology,big data

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