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- Title
Canine vector-borne disease: mapping and the accuracy of forecasting using big data from the veterinary community.
- Authors
Self, Stella C. W.; Liu, Yan; Nordone, Shila K.; Yabsley, Michael J.; Walden, Heather S.; Lund, Robert B.; Bowman, Dwight D.; Carpenter, Christopher; McMahan, Christopher S.; Gettings, Jenna R.
- Abstract
Diagnosis, treatment, and prevention of vector-borne disease (VBD) in pets is one cornerstone of companion animal practices. Veterinarians are facing new challenges associated with the emergence, reemergence, and rising incidence of VBD, including heartworm disease, Lyme disease, anaplasmosis, and ehrlichiosis. Increases in the observed prevalence of these diseases have been attributed to a multitude of factors, including diagnostic tests with improved sensitivity, expanded annual testing practices, climatologic and ecological changes enhancing vector survival and expansion, emergence or recognition of novel pathogens, and increased movement of pets as travel companions. Veterinarians have the additional responsibility of providing information about zoonotic pathogen transmission from pets, especially to vulnerable human populations: the immunocompromised, children, and the elderly. Hindering efforts to protect pets and people is the dynamic and ever-changing nature of VBD prevalence and distribution. To address this deficit in understanding, the Companion Animal Parasite Council (CAPC) began efforts to annually forecast VBD prevalence in 2011. These forecasts provide veterinarians and pet owners with expected disease prevalence in advance of potential changes. This review summarizes the fidelity of VBD forecasts and illustrates the practical use of CAPC pathogen prevalence maps and forecast data in the practice of veterinary medicine and client education.
- Subjects
DISEASE vectors; DISEASE mapping; PRACTICE of veterinary medicine; VETERINARY medicine education; BIG data; VETERINARY medicine
- Publication
Animal Health Research Reviews, 2019, Vol 20, Issue 1, p47
- ISSN
1466-2523
- Publication type
Article
- DOI
10.1017/S1466252319000045