ReviewAnnual review of public health2022
Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health.
Review in Annual review of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Methodological Quality and Health Equity of AI Prediction Models in Rectal Cancer.Journal of evidence-based medicine · 2026Article
- Disparities in Coronavirus Disease 2019 Mortality among Japanese and Non-Japanese Residents: A Natural Experimental Study.JMA journal · 2026Article
- Equity of opportunity in China's essential public health services: influencing factors and moderating mechanisms.International health · 2026Article
- Digital epidemiology: Utilizing big data for public health surveillance and disease outbreak prediction.Journal of public health research · 2026Review
- Co-creating an Inclusion, Diversity, Equity, and Accessibility (IDEA) Strategy in a Pan-Canadian Health Data Research Network.International journal of population data science · 2026Article
- Advancing equitable and sustainable urban health.Nature medicine · 2025Review
- Frameworks for describing health inequalities in observational public health research: a scoping review protocol.BMJ open · 2025Article
- Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review.PLOS digital health · 2025Article
- Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world data.JNCI cancer spectrum · 2025Article
- Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024).JMIR public health and surveillance · 2025Article
- AI-Y: An AI Checklist for Population Ethics Across the Global Context.Current epidemiology reports · 2025Review
- Post-pandemic era: global trends, benefits, and barriers in integrating artificial intelligence into public health education.Frontiers in public health · 2025Review
- Benefits and Risks of AI in Health Care: Narrative Review.Interactive journal of medical research · 2024Review
- Artificial Intelligence to Promote Racial and Ethnic Cardiovascular Health Equity.Current cardiovascular risk reports · 2024Article
- Big Data in Epidemiology: Brave New World?Journal of dental research · 2024Article
- Development of an Internet-based Product-related Child Injury Textual Data Platform (IPCITDP) in China.Journal of global health · 2024Article
- [Health for whom? Intersectionality and biases in the use of artificial intelligence in clinical diagnosis].Anales del sistema sanitario de Navarra · 2024Article
- The inclusion of social determinants of health into evaluations of quality and appropriateness of AI assistant-ChatGPT.Prostate cancer and prostatic diseases · 2024Article
- Community engagement in the development of health-related data visualizations: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Artificial intelligence empowering public health education: prospects and challenges.Frontiers in public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The big data revolution presents an exciting frontier to expand public health research, broadening the scope of research and increasing the precision of answers. Despite these advances, scientists must be vigilant against also advancing potential harms toward marginalized communities. In this review, we provide examples in which big data applications have (unintentionally) perpetuated discriminatory practices, while also highlighting opportunities for big data applications to advance equity in public health. Here, big data is framed in the context of the five Vs (volume, velocity, veracity, variety, and value), and we propose a sixth V, virtuosity, which incorporates equity and justice frameworks. Analytic approaches to improving equity are presented using social computational big data, fairness in machine learning algorithms, medical claims data, and data augmentation as illustrations. Throughout, we emphasize the biasing influence of data absenteeism and positionality and conclude with recommendations for incorporating an equity lens into big data research.
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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.