ReviewFrontiers in public health2022
Criteria for selecting sentinel unit locations in a surveillance system for vector-borne disease: A decision tool.
Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 20 citations in OpenAlex.
- Sentinel Networks for the Surveillance of Overweight and Obesity: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Article
- Review
- Evaluating short-term changes in helminth burdens using sequential community-based surveys in Rwanda.Scientific reports · 2026Article
- Leishmaniasis Transmission Risk at the Forest-Peridomestic Interface in an Area of Southern Sinaloa, Mexico: Entomological, Molecular, and Climatic Evidence.Journal of parasitology research · 2026Article
- One health strategic planning: multi-criteria decision analysis to prioritize rabies interventions in Burkina Faso.BMC public health · 2025Article
- Review
- Rapid Increase in Seroprevalence of Borrelia burgdorferi Antibodies among Dogs, Northwestern North Carolina, USA, 2017-2021Emerging infectious diseases · 2024Article
- The Hand, Foot, and Mouth Disease Sentinel Surveillance System in South Korea: Retrospective Evaluation Study.JMIR public health and surveillance · 2024Article
- Evaluation of the sentinel yellow fever surveillance system in Uganda, 2017-2022: strengths and weaknesses.BMC infectious diseases · 2024Article
- Spatial multi-criteria decision analysis for the selection of sentinel regions in tick-borne disease surveillance.BMC public health · 2024Article
- Sampling for malaria molecular surveillance.Trends in parasitology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Objectives: With vector-borne diseases emerging across the globe, precipitated by climate change and other anthropogenic changes, it is critical for public health authorities to have well-designed surveillance strategies in place. Sentinel surveillance has been proposed as a cost-effective approach to surveillance in this context. However, spatial design of sentinel surveillance system has important impacts on surveillance outcomes, and careful selection of sentinel unit locations is therefore an essential component of planning. Methods: A review of the available literature, based on the realist approach, was used to identify key decision issues for sentinel surveillance planning. Outcomes of the review were used to develop a decision tool, which was subsequently validated by experts in the field. Results: The resulting decision tool provides a list of criteria which can be used to select sentinel unit locations. We illustrate its application using the case example of designing a national sentinel surveillance system for Lyme disease in Canada. Conclusions: The decision tool provides researchers and public health authorities with a systematic, evidence-based approach for planning the spatial design of sentinel surveillance systems, taking into account the aims of the surveillance system and disease and/or context-specific considerations.
Indexed as
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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.