ArticleCell reports. Medicine2022
Preventing the next pandemic: Use of artificial intelligence for epidemic monitoring and alerts.
Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 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
20 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A century of emergence: trends and patterns in human viral pathogens, 1900-2024, a systematic review.BMC infectious diseases · 2025Pooled it
- Opportunities, challenges, and requirements for Artificial Intelligence (AI) implementation in Primary Health Care (PHC): a systematic review.BMC primary care · 2025Pooled it
- Internet-based Surveillance Systems and Infectious Diseases Prediction: An Updated Review of the Last 10 Years and Lessons from the COVID-19 Pandemic.Journal of epidemiology and global health · 2024Pooled it
- Artificial intelligence (AI) in action: a cross-continental survey of AI adoption among field epidemiology fellows in Canada, the United States, and Europe, 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- Human antibodies as emerging drugs for antimicrobial resistance.Trends in immunology · 2026Review
- Role of Digital Health Technologies and Artificial Intelligence in Modern Public Health Surveillance.Cureus · 2026Review
- Early Detection and Surveillance of Infectious Disease Outbreaks in Nigeria : Integrating Nigerian Pidgin English (NPE) into the EPIWATCHJournal of medical systems · 2026Article
- Forecasting Influenza Epidemics and Pandemics in the Age of AI and Machine Learning.Reviews in medical virology · 2026Review
- TransmiRisk-AI: an agentic AI-based risk assessment framework for zoonotic diseases using integrated surveillance data.Frontiers in digital health · 2026Article
- Review
- Systematic Evaluation of Utility and Usability of Publicly Available Mobile Apps for the Early Detection and Monitoring of Infectious Diseases.Journal of medical systems · 2025Article
- Challenges and recommendations for embracing digital tools for one health surveillance in LMICs: Viewpoints from a special session of 17th ISVEE.One health (Amsterdam, Netherlands) · 2025Article
- Article
- The role of artificial intelligence in detecting avian influenza virus outbreaks: A review.Open veterinary journal · 2025Review
- Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts.Journal of medical Internet research · 2025Article
- Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020-2022.Emerging infectious diseases · 2025Article
- AI-driven epidemic intelligence: the future of outbreak detection and response.Frontiers in artificial intelligence · 2025Article
- Artificial intelligence and digital health in the health systems of developing countries: the challenges and vision of integration in the primary health care setting.Frontiers in digital health · 2025Article
- Use of Open-Source Epidemic Intelligence for Infectious Disease Outbreaks, Ukraine, 2022.Emerging infectious diseases · 2024Article
- Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study.JMIR infodemiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging infections are a continual threat to public health security, which can be improved by use of rapid epidemic intelligence and open-source data. Artificial intelligence systems to enable earlier detection and rapid response by governments and health can feasibly mitigate health and economic impacts of serious epidemics and pandemics. EPIWATCH is an artificial intelligence-driven outbreak early-detection and monitoring system, proven to provide early signals of epidemics before official detection by health authorities.
Indexed as
Identifiers
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.