ReviewEmerging infectious diseases2009
Use of unstructured event-based reports for global infectious disease surveillance.
Review in Emerging infectious diseases, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 6 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
81 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Main challenges of the detection in the context of global health security: systematic review of Joint External Evaluation (JEE) reports.The Pan African medical journal · 2022Pooled it
- Digital disease detection: A systematic review of event-based internet biosurveillance systems.International journal of medical informatics · 2017Pooled it
- Web-based infectious disease surveillance systems and public health perspectives: a systematic review.BMC public health · 2016Pooled it
- A systematic review of barriers to data sharing in public health.BMC public health · 2014Pooled it
- Social media and internet-based data in global systems for public health surveillance: a systematic review.The Milbank quarterly · 2014Pooled it
- Disease prediction models and operational readiness.PloS one · 2014Pooled it
- Role of Digital Health Technologies and Artificial Intelligence in Modern Public Health Surveillance.Cureus · 2026Review
- TransmiRisk-AI: an agentic AI-based risk assessment framework for zoonotic diseases using integrated surveillance data.Frontiers in digital health · 2026Article
- [Travel Medicine Clinic Network for the Prevention and Early Detection of Imported Infectious Diseases].Jugan geon-gang gwa jilbyeong · 2025Review
- Advocating for a community-centred model for responding to potential information harms.Nature human behaviour · 2025Review
- Surveillance System for Infectious Disease Prevention and Management: Direction of Korea's Infectious Disease Surveillance System.Journal of Korean medical science · 2025Review
- Greater agreement is required to harness the potential of health intelligence: a critical interpretive synthesis.Journal of clinical epidemiology · 2023Review
- Event-based surveillance: Providing early warning for communicable disease threats.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2023Article
- The potential of resilience indicators to anticipate infectious disease outbreaks, a systematic review and guide.PLOS global public health · 2023Article
- Usage of social media in epidemic intelligence activities in the WHO, Regional Office for the Eastern Mediterranean.BMJ global health · 2022Article
- Online searching trend on Covid-19 using Google trend: infodemiological study in Malaysia.International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management · 2022Article
- Determinants Affecting the Health Information Sharing Management and Practice for Patient Referral in Thailand: The Perceptions of Patients and Healthcare Professionals.Perspectives in health information managemen · 2022Article
- The influence of professional identity, job satisfaction, burnout on turnover intention among village public health service providers in China in the context of COVID-19: A cross-sectional study.Frontiers in public health · 2022Article
- Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study.Journal of medical Internet research · 2021Article
- Digital Biosurveillance for Zoonotic Disease Detection in Kenya.Pathogens (Basel, Switzerland) · 2021Article
21 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
8 authors.
Funding
Abstract
Free or low-cost sources of unstructured information, such as Internet news and online discussion sites, provide detailed local and near real-time data on disease outbreaks, even in countries that lack traditional public health surveillance. To improve public health surveillance and, ultimately, interventions, we examined 3 primary systems that process event-based outbreak information: Global Public Health Intelligence Network, HealthMap, and EpiSPIDER. Despite similarities among them, these systems are highly complementary because they monitor different data types, rely on varying levels of automation and human analysis, and distribute distinct information. Future development should focus on linking these systems more closely to public health practitioners in the field and establishing collaborative networks for alert verification and dissemination. Such development would further establish event-based monitoring as an invaluable public health resource that provides critical context and an alternative to traditional indicator-based outbreak reporting.
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.