ArticleFrontiers in veterinary science2021
Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making.
Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 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
11 citing papers in PubMed.
- Monitoring the Burden ofAntibiotics (Basel, Switzerland) · 2026Article
- Role of Digital Health Technologies and Artificial Intelligence in Modern Public Health Surveillance.Cureus · 2026Review
- The role and future of the population health observatory: advancing public health intelligence in Saudi Arabia.Frontiers in public health · 2026Review
- Descriptive analysis of hypertension in Saudi Arabia: a national population health perspective (hypertension in Saudi Arabia).Frontiers in cardiovascular medicine · 2026Article
- Data-Driven Infectious Disease Control: Qualitative Study of Professionals' Attitudes, Barriers, and Needs.Journal of medical Internet research · 2025Article
- A Paradigm Shift in Health Surveillance: Preparing for the Future of Longevity.International journal of public health · 2025Article
- Trends in human parainfluenza virus in Scotland before and after the peak of the COVID-19 pandemic, January 2017 to October 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
- Machine learning approach as an early warning system to prevent foodborne Salmonella outbreaks in northwestern Italy.Veterinary research · 2024Article
- Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South.Healthcare (Basel, Switzerland) · 2023Article
- Data-fed, needs-driven: Designing analytical workflows fit for disease surveillance.Frontiers in veterinary science · 2023Article
- Current Status of Research on Tuina for Analgesia: A Bibliometric and Visual Analysis.Journal of pain research · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The biggest change brought about by the "era of big data" to health in general, and epidemiology in particular, relates arguably not to the volume of data encountered, but to its variety. An increasing number of new data sources, including many not originally collected for health purposes, are now being used for epidemiological inference and contextualization. Combining evidence from multiple data sources presents significant challenges, but discussions around this subject often confuse issues of data access and privacy, with the actual technical challenges of data integration and interoperability. We review some of the opportunities for connecting data, generating information, and supporting decision-making across the increasingly complex "variety" dimension of data in population health, to enable data-driven surveillance to go beyond simple signal detection and support an expanded set of surveillance goals.
Indexed as
Identifiers
What Socratic 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 Socratic graph.