ReviewFrontiers in public health2015
Integrating novel data streams to support biosurveillance in commercial livestock production systems in developed countries: challenges and opportunities.
Review in Frontiers in public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Observational Study on Antimicrobial Treatment Frequencies and Culling Rates in a Cohort of Dairy Herds in Lodi Province (Italy).Animals : an open access journal from MDPI · 2026Article
- A paradigm shift and practical exploration in veterinary pharmacology and toxicology teaching reform in China's frontier regions under AI empowerment.Frontiers in veterinary science · 2026Review
- Review
- Quality of Data Recording and Antimicrobial Use in a Municipal Veterinary Clinic in Ghana.Tropical medicine and infectious disease · 2023Article
- Evaluations of the Disease Surveillance Centre network in Scotland: What parts has it reached?Frontiers in veterinary science · 2023Article
- Data-fed, needs-driven: Designing analytical workflows fit for disease surveillance.Frontiers in veterinary science · 2023Article
- Towards an integrated animal health surveillance system in Tanzania: making better use of existing and potential data sources for early warning surveillance.BMC veterinary research · 2021Article
- High real-time reporting of domestic and wild animal diseases following rollout of mobile phone reporting system in Kenya.PloS one · 2021Article
- Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making.Frontiers in veterinary science · 2021Article
- Day-1 Competencies for Veterinarians Specific to Health Informatics.Frontiers in veterinary science · 2021Article
- Article
- Translating Big Data into Smart Data for Veterinary Epidemiology.Frontiers in veterinary science · 2017Article
- Animal health syndromic surveillance: a systematic literature review of the progress in the last 5 years (2011-2016).Veterinary medicine (Auckland, N.Z.) · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reducing the burden of emerging and endemic infectious diseases on commercial livestock production systems will require the development of innovative technology platforms that enable information from diverse animal health resources to be collected, analyzed, and communicated in near real-time. In this paper, we review recent initiatives to leverage data routinely observed by farmers, production managers, veterinary practitioners, diagnostic laboratories, regulatory officials, and slaughterhouse inspectors for disease surveillance purposes. The most commonly identified challenges were (1) the lack of standardized systems for recording essential data elements within and between surveillance data streams, (2) the additional time required to collect data elements that are not routinely recorded by participants, (3) the concern over the sharing and use of business sensitive information with regulatory authorities and other data analysts, (4) the difficulty in developing sustainable incentives to maintain long-term program participation, and (5) the limitations in current methods for analyzing and reporting animal health information in a manner that facilitates actionable response. With the significant recent advances in information science, there are many opportunities to develop more sophisticated systems that meet national disease surveillance objectives, while still providing participants with valuable tools and feedback to manage routine animal health concerns.
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Registered trials
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