ArticleFrontiers in veterinary science2019
Individual or Common Good? Voluntary Data Sharing to Inform Disease Surveillance Systems in Food Animals.
Article in Frontiers in veterinary science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Perceptions of voluntary horizontal confidential food safety data sharing: an exploratory interview study with food industry leadership.NPJ science of food · 2026Article
- Phylogenetic Lineages of PRRSV-2 from Canada Reveal Patterns of Transboundary Spread and Two Novel Sub-Lineages in North America.Pathogens (Basel, Switzerland) · 2026Article
- The contribution of integrated and non-integrated pig farms to epidemiological dynamics of porcine reproductive and respiratory syndrome virus in Italy.Scientific reports · 2025Article
- Article
- Senecavirus A Incidence in U.S. Breeding Herds: A Decade of Surveillance Data.Animals : an open access journal from MDPI · 2025Article
- Current Evolutionary Dynamics of Porcine Epidemic Diarrhea Virus (PEDV) in the U.S. a Decade After Introduction.Viruses · 2025Article
- PRRSV-2 variant classification: a dynamic nomenclature for enhanced monitoring and surveillance.mSphere · 2025Article
- Measuring the impact of sow farm outbreaks with PRRS virus on the downstream mortality using causal inference methods.Frontiers in veterinary science · 2025Article
- Harnessing sequencing data for porcine reproductive and respiratory syndrome virus (PRRSV): tracking genetic evolution dynamics and emerging sequences in US swine industry.Frontiers in veterinary science · 2025Article
- Postmortem Sampling in Piglet Populations: Unveiling Specimens Accuracy for Porcine Reproductive and Respiratory Syndrome Detection.Pathogens (Basel, Switzerland) · 2024Article
- Postepidemic Epidemiology of Porcine Epidemic Diarrhea Virus in the United States.Transboundary and emerging diseases · 2024Article
- When Everything Becomes Bigger: Big Data for Big Poultry Production.Animals : an open access journal from MDPI · 2023Review
- Time Farms Stay Naïve for Porcine Reproductive and Respiratory Syndrome.Animals : an open access journal from MDPI · 2023Article
- Disentangling transport movement patterns of trucks either transporting pigs or while empty within a swine production system before and during the COVID-19 epidemic.Frontiers in veterinary science · 2023Article
- Evaluating oral swab samples for PRRSV surveillance in weaning-age pigs under field conditions.Frontiers in veterinary science · 2023Article
- A recombinant porcine reproductive and respiratory syndrome virus type 2 field strain derived from two PRRSV-2-modified live virus vaccines.Frontiers in veterinary science · 2023Article
- Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States.Frontiers in veterinary science · 2023Article
- Porcine reproductive and respiratory syndrome prevalence and processing fluids use for diagnosis in United States breeding herds.Frontiers in veterinary science · 2022Article
- Enhancing passive surveillance for African swine fever detection on U.S. swine farms.Frontiers in veterinary science · 2022Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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