ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2016
Data visualisation in surveillance for injury prevention and control: conceptual bases and case studies.
Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses 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
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Visual communication of public health data: a scoping review.Frontiers in digital health · 2025Pooled it
- Injury surveillance information system: A review of the system requirements.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2020Pooled it
- Emergency department-based injury surveillance information system: a conceptual model.BMC emergency medicine · 2023Article
- Interactive Visualization Applications in Population Health and Health Services Research: Systematic Scoping Review.Journal of medical Internet research · 2022Article
- Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review.Journal of medical Internet research · 2020Article
- Best practices for data visualization: creating and evaluating a report for an evidence-based fall prevention program.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Visual Analytic Tools and Techniques in Population Health and Health Services Research: Protocol for a Scoping Review.JMIR research protocols · 2019Article
- Public and Population Health Informatics: The Bridging of Big Data to Benefit Communities.Yearbook of medical informatics · 2018Review
- Interactive Visualization of Healthcare Data Using Tableau.Healthcare informatics research · 2017Article
- A review of CDC's Web-based Injury Statistics Query and Reporting System (WISQARS™): Planning for the future of injury surveillance.Journal of safety research · 2017Article
- An overview of geospatial methods used in unintentional injury epidemiology.Injury epidemiology · 2016Review
- Compensation Research Database: population-based injury data for surveillance, linkage and mining.BMC research notes · 2016Article
- Injury surveillance: the next generation.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2016Article
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
Abstract
backgroundThe complexity of current injury-related health issues demands the usage of diverse and massive data sets for comprehensive analyses, and application of novel methods to communicate data effectively to the public health community, decision-makers and the public. Recent advances in information visualisation, availability of new visual analytic methods and tools, and progress on information technology provide an opportunity for shaping the next generation of injury surveillance.
objectiveTo introduce data visualisation conceptual bases, and propose a visual analytic and visualisation platform in public health surveillance for injury prevention and control.
methodsThe paper introduces data visualisation conceptual bases, describes a visual analytic and visualisation platform, and presents two real-world case studies illustrating their application in public health surveillance for injury prevention and control.
resultsApplication of visual analytic and visualisation platform is presented as solution for improved access to heterogeneous data sources, enhance data exploration and analysis, communicate data effectively, and support decision-making.
conclusionsApplications of data visualisation concepts and visual analytic platform could play a key role to shape the next generation of injury surveillance. Visual analytic and visualisation platform could improve data use, the analytic capacity, and ability to effectively communicate findings and key messages. The public health surveillance community is encouraged to identify opportunities to develop and expand its use in injury prevention and control.
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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.