SynthesisEpidemiology and infection2015
Systematic review of surveillance systems and methods for early detection of exotic, new and re-emerging diseases in animal populations.
Synthesis in Epidemiology and infection, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 2000-2025: A Quarter of a Century of Studies on Pet Ownership in the Amazon-Epidemiological Implications for Public Health.Pathogens (Basel, Switzerland) · 2026Pooled it
- Wild boar as a sentinel species for ecosystem health surveillance: A review.One health (Amsterdam, Netherlands) · 2026Review
- Building resilience: Assessing the Canadian Animal Health Surveillance System's strengths, weaknesses, and opportunities within Canada's early warning system for animal health.The Canadian veterinary journal = La revue veterinaire canadienne · 2026Article
- Advances in Animal Disease Surveillance and Information Systems and Their Role in Disease Control and Prevention: Implications in Ethiopia.Veterinary medicine and science · 2025Review
- Prevalence ofOpen veterinary journal · 2025Article
- How do pig veterinarians view technology-assisted data utilisation for pig health and welfare management? A qualitative study in Spain, the Netherlands, and Ireland.Porcine health management · 2024Article
- The evolution of Kenya's animal health surveillance system and its potential for efficient detection of zoonoses.Frontiers in veterinary science · 2024Article
- Higher convergence of human-great ape enteric eukaryotic viromes in central African forest than in a European zoo: a One Health analysis.Nature communications · 2023Article
- SARS-CoV-2 and animals, a long story that doesn't have to end now: What we need to learn from the emergence of the Omicron variant.Frontiers in veterinary science · 2022Review
- Caregivers' perception of the caring challenges in coronavirus crisis (COVID-19): a qualitative study.BMC nursing · 2021Article
- The mental health crises of the families of COVID-19 victims: a qualitative study.BMC family practice · 2021Article
- Gaps in health security related to wildlife and environment affecting pandemic prevention and preparedness, 2007-2020.Bulletin of the World Health Organization · 2021Review
- Quantification of the sensitivity of early detection surveillance.Transboundary and emerging diseases · 2020Article
- Near Real-Time Monitoring of Clinical Events Detected in Swine Herds in Northeastern Spain.Frontiers in veterinary science · 2020Article
- Evaluation of the performance of register data as indicators for dairy herds with high lameness prevalence.Acta veterinaria Scandinavica · 2019Article
- Incidence estimation from sentinel surveillance data; a simulation study and application to data from the Belgian laboratory sentinel surveillance.BMC public health · 2019Article
- Article
- Systematic Review of Important Bacterial Zoonoses in Africa in the Last Decade in Light of the 'One Health' Concept.Pathogens (Basel, Switzerland) · 2019Review
- Optimizing syndromic health surveillance in free ranging great apes: the case of Gombe National Park.The Journal of applied ecology · 2019Article
- Improving the Utility of Voluntary Ovine Fallen Stock Collection and Laboratory Diagnostic Submission Data for Animal Health Surveillance Purposes: A Development Cycle.Frontiers in veterinary science · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this globalized world, the spread of new, exotic and re-emerging diseases has become one of the most important threats to animal production and public health. This systematic review analyses conventional and novel early detection methods applied to surveillance. In all, 125 scientific documents were considered for this study. Exotic (n = 49) and re-emerging (n = 27) diseases constituted the most frequently represented health threats. In addition, the majority of studies were related to zoonoses (n = 66). The approaches found in the review could be divided in surveillance modalities, both active (n = 23) and passive (n = 5); and tools and methodologies that support surveillance activities (n = 57). Combinations of surveillance modalities and tools (n = 40) were also found. Risk-based approaches were very common (n = 60), especially in the papers describing tools and methodologies (n = 50). The main applications, benefits and limitations of each approach were extracted from the papers. This information will be very useful for informing the development of tools to facilitate the design of cost-effective surveillance strategies. Thus, the current literature review provides key information about the advantages, disadvantages, limitations and potential application of methodologies for the early detection of new, exotic and re-emerging diseases.
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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.