The Ontario Animal Health Network: enhancing disease surveillance and information sharing through integrative data sharing and management.
Ontario
animal diseases
data analysis
data quality
disease management
emerging infectious disease
laboratory diagnosis
population health
population surveillance
veterinary pathology
Journal
Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc
ISSN: 1943-4936
Titre abrégé: J Vet Diagn Invest
Pays: United States
ID NLM: 9011490
Informations de publication
Date de publication:
May 2021
May 2021
Historique:
pubmed:
26
3
2021
medline:
29
5
2021
entrez:
25
3
2021
Statut:
ppublish
Résumé
The Ontario Animal Health Network (OAHN) is an innovative disease surveillance program created to enhance preparedness, early detection, and response to animal disease in Ontario. Laboratory data and, where available, abattoir condemnation data and clinical observations submitted by practicing veterinarians form the core of regular discussions of the species-sector networks. Each network is comprised of government veterinarians or specialists, epidemiologists, pathologists, university species specialists, industry stakeholders, and practicing veterinarians, as appropriate. Laboratorians provide data for diseases of interest as determined by the individual network, and network members provide analysis and context for the large volume of information. Networks assess data for disease trends and the emergence of new clinical syndromes, as well as generate information on the health and disease status for each sector in the province. Members assess data validity and quality, which may be limited by multiple factors. Interpretation of laboratory tests and antimicrobial resistance trends without available clinical histories can be challenging. Extrapolation of disease incidence or risk from laboratory submissions to broader species populations must be done with caution. Disease information is communicated in a variety of media to inform veterinary and agricultural sectors of regional disease risks. Through network engagement, information gaps have been addressed, such as educational initiatives to improve sample submissions and enhance diagnostic outcomes, and the development of applied network-driven research. These diverse network initiatives, developed after careful assessment of laboratory and other data, demonstrate that novel approaches to analysis and interpretation can result in a variety of disease risk mitigation actions.
Identifiants
pubmed: 33764226
doi: 10.1177/10406387211003910
pmc: PMC8107500
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
448-456Références
Prev Vet Med. 2010 May 1;94(3-4):264-71
pubmed: 20129684
Transbound Emerg Dis. 2012 Jun;59(3):264-8
pubmed: 22008565
BMC Res Notes. 2014 Mar 28;7:185
pubmed: 24674622
BMC Vet Res. 2015 Feb 15;11:37
pubmed: 25889382
Clin Chem Lab Med. 2009;47(2):143-53
pubmed: 19099525
Diagn Microbiol Infect Dis. 2001 Dec;41(4):171-5
pubmed: 11777655
mBio. 2020 Feb 25;11(1):
pubmed: 32098825
Epidemiol Infect. 2011 Oct;139(10):1476-85
pubmed: 21087544