ReviewFrontiers in public health2018
Big Data's Role in Precision Public Health.
Review in Frontiers in public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 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
92 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ethical issues raised by artificial intelligence and big data in population health: a scoping review.Frontiers in sociology · 2025Pooled it
- Cardiovascular Science, Medicine, and Society: The Brave New World: The ACC Braunwald Lecture 2025.Journal of the American College of Cardiology · 2026Review
- Is martial arts participation associated with sleep quality among Chinese adolescents? A cross-sectional baseline survey.Frontiers in medicine · 2026Article
- Digital paradigm of public health.Frontiers in public health · 2026Review
- The role and future of the population health observatory: advancing public health intelligence in Saudi Arabia.Frontiers in public health · 2026Review
- Identifying determinants of unmet healthcare needs in South Korea: a comparison of machine learning approaches for precision public health.BMC public health · 2025Article
- Digital Transformation for Improving Child Health in South Asia: Do We Need a Reboot?Journal of medical Internet research · 2025Article
- The Role of Data in Public Health and Health Innovation: Perspectives on Social Determinants of Health, Community-Based Data Approaches, and AI.Journal of medical Internet research · 2025Article
- Personalized prediction of esophageal cancer risk based on virtually generated alcohol data.Journal of translational medicine · 2025Article
- Global research trends on the human exposome: a bibliometric analysis (2005-2024).Environmental science and pollution research international · 2025Review
- Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.NPJ digital medicine · 2025Review
- Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024).JMIR public health and surveillance · 2025Article
- The Role of Big Data in Developing Innovative Predictive Learning Models for Neglected Tropical Diseases within the New Generation of the Evidence-Based Medicine Pyramid.Le infezioni in medicina · 2025Review
- Understanding Dengue Underreporting: An Analysis of the Impacts for the World, Latin America and Brazil.TheScientificWorldJournal · 2025Review
- Exploring the landscape of essential health data science skills and research challenges: a survey of stakeholders in Africa, Asia, and Latin America and the Caribbean.Frontiers in public health · 2025Article
- The role of public health in rare diseases: hemophilia as an example.Frontiers in public health · 2025Review
- Impact of health information seeking behavior and digital health literacy on self-perceived health and depression symptoms among older adults in the United States.Scientific reports · 2024Article
- Citizens' digital footprints to support health promotion at the local level-PUHTI study, Finland.European journal of public health · 2024Article
- The Solutions in Health Analytics for Rural Equity Across the Northwest (SHARE-NW) Dashboard for Health Equity in Rural Public Health: Usability Evaluation.JMIR human factors · 2024Article
- Advancing Newborn Screening Long-Term Follow-Up: Integration ofInternational journal of neonatal screening · 2024Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision public health is an emerging practice to more granularly predict and understand public health risks and customize treatments for more specific and homogeneous subpopulations, often using new data, technologies, and methods. Big data is one element that has consistently helped to achieve these goals, through its ability to deliver to practitioners a volume and variety of structured or unstructured data not previously possible. Big data has enabled more widespread and specific research and trials of stratifying and segmenting populations at risk for a variety of health problems. Examples of success using big data are surveyed in surveillance and signal detection, predicting future risk, targeted interventions, and understanding disease. Using novel big data or big data approaches has risks that remain to be resolved. The continued growth in volume and variety of available data, decreased costs of data capture, and emerging computational methods mean big data success will likely be a required pillar of precision public health into the future. This review article aims to identify the precision public health use cases where big data has added value, identify classes of value that big data may bring, and outline the risks inherent in using big data in precision public health efforts.
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.