ArticleOnline journal of public health informatics2014
The challenge of big data in public health: an opportunity for visual analytics.
Article in Online journal of public health informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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.
- Telemedicine and digital health: The future for pharmaceutical companies and health care.Indian journal of pharmacology · 2026Review
- Article
- Interactive Visualization Applications in Population Health and Health Services Research: Systematic Scoping Review.Journal of medical Internet research · 2022Article
- Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study.Journal of medical Internet research · 2020Observational
- Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review.Journal of medical Internet research · 2020Article
- Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance.JMIR mHealth and uHealth · 2020Article
- [Digital public health-leverage for community capacity building in health promotion : Current situation, developmental issues and TEAviisari as a model implementation].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2020Review
- Understanding Discussions of Health Issues on Twitter: A Visual Analytic Study.Online journal of public health informatics · 2020Article
- Visual Analytic Tools and Techniques in Population Health and Health Services Research: Protocol for a Scoping Review.JMIR research protocols · 2019Article
- VINCENT: A visual analytics system for investigating the online vaccine debate.Online journal of public health informatics · 2019Article
- EpiViewer: an epidemiological application for exploring time series data.BMC bioinformatics · 2018Article
- Big Data for Sound Policies: Toward Evidence-Informed Hearing Health Policies.American journal of audiology · 2018Article
- Obstetric anaesthesia practice: Dashboard as a dynamic audit tool.Indian journal of anaesthesia · 2018Review
- Big Data in Public Health: Terminology, Machine Learning, and Privacy.Annual review of public health · 2018Review
- Looking Through a Social Lens: Conceptualising Social Aspects of Knowledge Management for Global Health Practitioners.Journal of public health research · 2017Article
- -Omic and Electronic Health Record Big Data Analytics for Precision Medicine.IEEE transactions on bio-medical engineering · 2017Review
- Public Health Platforms: An Emerging Informatics Approach to Health Professional Learning and Development.Journal of public health research · 2016Article
- Beyond simple charts: Design of visualizations for big health data.Online journal of public health informatics · 2016Article
- Prefectural difference in spontaneous intracerebral hemorrhage incidence in Japan analyzed with publically accessible diagnosis procedure combination data: possibilities and limitations.Epidemiology and health · 2016Article
- Beyond crystal balls: crosscutting solutions in global health to prepare for an unpredictable future.BMC public health · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Public health (PH) data can generally be characterized as big data. The efficient and effective use of this data determines the extent to which PH stakeholders can sufficiently address societal health concerns as they engage in a variety of work activities. As stakeholders interact with data, they engage in various cognitive activities such as analytical reasoning, decision-making, interpreting, and problem solving. Performing these activities with big data is a challenge for the unaided mind as stakeholders encounter obstacles relating to the data's volume, variety, velocity, and veracity. Such being the case, computer-based information tools are needed to support PH stakeholders. Unfortunately, while existing computational tools are beneficial in addressing certain work activities, they fall short in supporting cognitive activities that involve working with large, heterogeneous, and complex bodies of data. This paper presents visual analytics (VA) tools, a nascent category of computational tools that integrate data analytics with interactive visualizations, to facilitate the performance of cognitive activities involving big data. Historically, PH has lagged behind other sectors in embracing new computational technology. In this paper, we discuss the role that VA tools can play in addressing the challenges presented by big data. In doing so, we demonstrate the potential benefit of incorporating VA tools into PH practice, in addition to highlighting the need for further systematic and focused research.
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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.