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Use of big data in the surveillance of veterinary diseases: early detection of tick paralysis in companion animals

Guernier, Vanina, Milinovich, Gabriel J., Bezerra Santos, Marcos Antonio, Haworth, Mark, Coleman, Glen and Soares Magalhaes, Ricardo J. 2016, Use of big data in the surveillance of veterinary diseases: early detection of tick paralysis in companion animals, Parasites & vectors, vol. 9, no. 1, pp. 1-10, doi: 10.1186/s13071-016-1590-6.

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Title Use of big data in the surveillance of veterinary diseases: early detection of tick paralysis in companion animals
Author(s) Guernier, VaninaORCID iD for Guernier, Vanina orcid.org/0000-0002-0960-3874
Milinovich, Gabriel J.
Bezerra Santos, Marcos Antonio
Haworth, Mark
Coleman, Glen
Soares Magalhaes, Ricardo J.
Journal name Parasites & vectors
Volume number 9
Issue number 1
Article ID 303
Start page 1
End page 10
Total pages 10
Publisher BioMed Central
Place of publication London, Eng.
Publication date 2016
ISSN 1756-3305
Keyword(s) Australia
Companion animals
Digital epidemiology
Dogs and cats
Google
Google Trends
Internet
Notified cases
Syndromic surveillance
Tick paralysis
Animals
Cat Diseases
Cats
Databases, Factual
Dog Diseases
Dogs
Epidemiological Monitoring
Female
Information Storage and Retrieval
Ixodes
New South Wales
Pets
Queensland
Search Engine
Science & Technology
Life Sciences & Biomedicine
Parasitology
Tropical Medicine
IXODES-HOLOCYCLUS NEUMANN
QUERIES
Summary BACKGROUND: Tick paralysis, resultant from envenomation by the scrub-tick Ixodes holocyclus, is a serious threat for small companion animals in the eastern coast of Australia. We hypothesise that surveillance systems that are built on Internet search queries may provide a more timely indication of high-risk periods more effectively than current approaches. METHODS: Monthly tick paralysis notifications in dogs and cats across Australia and the states of Queensland (QLD) and New South Wales (NSW) were retrieved from Disease WatchDog surveillance system for the period 2011-2013. Internet search terms related to tick paralysis in small companion animals were identified using Google Correlate, and corresponding search frequency metrics were downloaded from Google Trends. Spearman's rank correlations and time series cross correlations were performed to assess which Google search terms lead or are synchronous with tick paralysis notifications. RESULTS: Metrics data were available for 24 relevant search terms at national level, 16 for QLD and 18 for NSW, and they were all significantly correlated with tick paralysis notifications (P < 0.05). Among those terms, 70.8, 56.3 and 50 % showed strong Spearman's correlations, at national level, for QLD, and for NSW respectively, and cross correlation analyses identified searches which lead notifications at national or state levels. CONCLUSION: This study demonstrates that Internet search metrics can be used to monitor the occurrence of tick paralysis in companion animals, which would facilitate early detection of high-risk periods for tick paralysis cases. This study constitutes the first application of the rapidly emerging field of Internet-based surveillance to veterinary science.
Language eng
DOI 10.1186/s13071-016-1590-6
Field of Research 1108 Medical Microbiology
1117 Public Health And Health Services
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2016, Guernier et al.
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30111844

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.