Individual or Common Good? Voluntary Data Sharing to Inform Disease Surveillance Systems in Food Animals.
US
data sharing
epidemiology
porcine reproductive and respiratory syndrome
surveillance
Journal
Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658
Informations de publication
Date de publication:
2019
2019
Historique:
received:
03
03
2019
accepted:
31
05
2019
entrez:
12
7
2019
pubmed:
12
7
2019
medline:
12
7
2019
Statut:
epublish
Résumé
Livestock producers have traditionally been reluctant to share information related to their business, including data on health status of their animals, which, sometimes, has impaired the ability to implement surveillance programs. However, during the last decade, swine producers in the United States (US) and other countries have voluntarily begun to share data for the control and elimination of specific infectious diseases, such as the porcine reproductive and respiratory syndrome virus (PRRSv). Those surveillance programs have played a pivotal role in bringing producers and veterinarians together for the benefit of the industry. Examples of situations in which producers have decided to voluntarily share data for extended periods of time to support applied research and, ultimately, disease control in the absence of a regulatory framework have rarely been documented in the peer-reviewed literature. Here, we provide evidence of a national program for voluntary sharing of disease status data that has helped the implementation of surveillance activities that, ultimately, allowed the generation of critically important scientific information to better support disease control activities. Altogether, this effort has supported, and is supporting, the design and implementation of prevention and control approaches for the most economically devastating swine disease affecting the US. The program, which has been voluntarily sustained and supported over an extended period of time by the swine industry in the absence of any regulatory framework and that includes data on approximately 50% of the sow population in the US, represents a unique example of a livestock industry self-organized surveillance program to generate scientific-driven solutions for emerging swine health issues in North America.
Identifiants
pubmed: 31294036
doi: 10.3389/fvets.2019.00194
pmc: PMC6598744
doi:
Types de publication
Journal Article
Langues
eng
Pagination
194Références
J Am Vet Med Assoc. 2015 Jun 15;246(12):1304-17
pubmed: 26043128
Epidemics. 2018 Sep;24:67-75
pubmed: 29673815
Prev Vet Med. 2018 Feb 1;150:135-142
pubmed: 29169685
Prev Vet Med. 2019 Mar 1;164:1-9
pubmed: 30771888
Vet Microbiol. 1997 Apr;55(1-4):355-60
pubmed: 9220633
Tierarztl Prax Ausg G Grosstiere Nutztiere. 2011;39(2):101-12
pubmed: 22138772
Sci Rep. 2019 Jan 24;9(1):457
pubmed: 30679594
Prev Vet Med. 2017 Sep 1;144:112-116
pubmed: 28716191
PLoS One. 2018 Apr 3;13(4):e0195282
pubmed: 29614099
Am J Vet Res. 2015 Jan;76(1):70-6
pubmed: 25535663
J Vet Diagn Invest. 2013 Sep;25(5):649-54
pubmed: 23963154
J Am Vet Med Assoc. 2005 Aug 1;227(3):385-92
pubmed: 16121604
Transbound Emerg Dis. 2019 Mar;66(2):823-830
pubmed: 30520570
Emerg Infect Dis. 2014 Jul;20(7):1227-30
pubmed: 24964136
Front Microbiol. 2016 Feb 02;7:67
pubmed: 26870024
Virus Res. 2010 Dec;154(1-2):185-92
pubmed: 20837071
Virus Res. 2010 Dec;154(1-2):18-30
pubmed: 20801173
Can Vet J. 2015 Oct;56(10):1087-9
pubmed: 26483586
Prev Vet Med. 2014 Sep 1;116(1-2):111-9
pubmed: 24931129
Front Vet Sci. 2017 Apr 05;4:46
pubmed: 28424778
Front Vet Sci. 2016 Mar 14;3:18
pubmed: 27014703
PLoS One. 2017 Apr 17;12(4):e0172638
pubmed: 28414720