ReviewEcoHealth2015
Barriers to, Efforts in, and Optimization of Integrated One Health Surveillance: A Review and Synthesis.
Review in EcoHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Towards Resilient Health Systems in Sub-Saharan Africa: A Systematic Review of the English Language Literature on Health Workforce, Surveillance, and Health Governance Issues for Health Systems Strengthening.Annals of global health · 2019Pooled it
- Advances in mosquito-borne disease surveillance using machine learning.New microbes and new infections · 2026Article
- Possible alignment of the EU BSE surveillance with the new WOAH provisions.EFSA journal. European Food Safety Authority · 2026Article
- Overcoming Barriers to One Health Surveillance Implementation.Health security · 2026Article
- Essential contributions of wildlife health surveillance to the United Nations Sustainable Development Goals.One health outlook · 2025Review
- Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis.JMIR public health and surveillance · 2025Article
- Developing a one health data integration framework focused on real-time pathogen surveillance and applied genomic epidemiology.One health outlook · 2025Article
- Article
- Diversity and Distribution of Fungal Infections in Rwanda: High Risk and Gaps in Knowledge, Policy, and Interventions.Journal of fungi (Basel, Switzerland) · 2024Review
- Governance of the wildlife trade and the prevention of emerging zoonoses: a mixed methods network analysis of transnational organisations, silos, and power dynamics.Globalization and health · 2024Article
- Epidemic intelligence in Europe: a user needs perspective to foster innovation in digital health surveillance.BMC public health · 2024Article
- Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- Future directions for One Health research: Regional and sectoral gaps.One health (Amsterdam, Netherlands) · 2023Article
- Surveillance and Risk Analysis for Bovine Babesiosis in England and Wales to Inform Disease Distribution.Animals : an open access journal from MDPI · 2023Article
- Rapid response screening for emerging zoonotic pathogens, barriers and opportunities: A study for enhanced preparedness of the Netherlands.One health (Amsterdam, Netherlands) · 2023Article
- Mapping food surveillance chains through different sectors.Frontiers in public health · 2023Article
- A participatory epidemiological and One Health approach to explore the community's capacity to detect emerging zoonoses and surveillance network opportunities in the forest region of Guinea.PLoS neglected tropical diseases · 2022Article
- Engaging Stakeholders in the Design of One Health Surveillance Systems: A Participatory Approach.Frontiers in veterinary science · 2021Article
- Transdisciplinary and social-ecological health frameworks-Novel approaches to emerging parasitic and vector-borne diseases.Parasite epidemiology and control · 2019Article
- The challenges of implementing an integrated One Health surveillance system in Australia.Zoonoses and public health · 2018Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Insufficient data from existing surveillance systems underlie societal tolerance of acute and slow-onset health disasters that threaten, harm, and kill vast numbers of humans, animals, and plants. Here we describe barriers to integrated "One Health" surveillance, including those related to a lack of medical services, professional divisions, incompatible vocabularies, isolated data sets, and territorial borders. We draw from publications of experts who justify broader and more integrated surveillance, education, and stewardship focused on preventing and mitigating disease emergence and re-emergence. In addition, we highlight efforts from Illinois, the United States and the broader world, pointing to examples of relevant education; ways to acquire, compile, and analyze diagnostic and syndromic data; mapping of diseases of humans and animals; and rapid communication of findings and recommendations. For the future, we propose using needed outcomes for health and sustainability to set priorities for One Health programs of education, surveillance, and stewardship. Professionals and paraprofessionals should gather, interpret, and widely communicate the implications of data, not only on infectious diseases, but also on toxic agents, malnutrition, ecological damage, the grave impacts of warfare, societal drivers underlying these problems, and the effectiveness of specific countermeasures.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.