SynthesisInternational journal of medical informatics2017
Digital disease detection: A systematic review of event-based internet biosurveillance systems.
Synthesis in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Innovating health prevention models in detecting infectious disease outbreaks through social media data: an umbrella review of the evidence.Frontiers in public health · 2024Pooled it
- Effectiveness of Public Health Digital Surveillance Systems for Infectious Disease Prevention and Control at Mass Gatherings: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Using internet-based query and climate data to predict climate-sensitive infectious disease risks: a systematic review of epidemiological evidence.International journal of biometeorology · 2021Pooled it
- Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews.Frontiers in public health · 2021Pooled it
- Social media based surveillance systems for healthcare using machine learning: A systematic review.Journal of biomedical informatics · 2020Pooled it
- The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review.Journal of medical Internet research · 2020Pooled it
- Determinants and typologies of health system resilience: A data-driven framework for prioritising investment.PloS one · 2026Article
- Early Warning of Infectious Disease Outbreaks Using Social Media and Digital Data: A Scoping Review.International journal of environmental research and public health · 2025Article
- Drawing on the Development Experiences of Infectious Disease Surveillance Systems Around the World.China CDC weekly · 2024Article
- Article
- Reconstructing historic and modern potato late blight outbreaks using text analytics.Scientific reports · 2024Article
- Artificial intelligence in public health: the potential of epidemic early warning systems.The Journal of international medical research · 2023Review
- Digital surveillance in Latin American diseases outbreaks: information extraction from a novel Spanish corpus.BMC bioinformatics · 2022Article
- A Comparison of Infectious Disease Forecasting Methods across Locations, Diseases, and Time.Pathogens (Basel, Switzerland) · 2022Article
- Detection of Diseases Using Machine Learning Image Recognition Technology in Artificial Intelligence.Computational intelligence and neuroscience · 2022Article
- Twenty years of integrated disease surveillance and response in Sub-Saharan Africa: challenges and opportunities for effective management of infectious disease epidemics.One health outlook · 2021Review
- Welcome to the revolution: COVID-19 and the democratization of spatial-temporal data.Patterns (New York, N.Y.) · 2021Review
- Digital Biosurveillance for Zoonotic Disease Detection in Kenya.Pathogens (Basel, Switzerland) · 2021Article
- The persistent threat of emerging plant disease pandemics to global food security.Proceedings of the National Academy of Sciences of the United States of America · 2021Review
- Test, Trace, and Put on the Blockchain?: A Viewpoint Evaluating the Use of Decentralized Systems for Algorithmic Contact Tracing to Combat a Global Pandemic.JMIR public health and surveillance · 2021Article
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
backgroundInternet access and usage has changed how people seek and report health information. Meanwhile,infectious diseases continue to threaten humanity. The analysis of Big Data, or vast digital data, presents an opportunity to improve disease surveillance and epidemic intelligence. Epidemic intelligence contains two components: indicator based and event-based. A relatively new surveillance type has emerged called event-based Internet biosurveillance systems. These systems use information on events impacting health from Internet sources, such as social media or news aggregates. These systems circumvent the limitations of traditional reporting systems by being inexpensive, transparent, and flexible. Yet, innovations and the functionality of these systems can change rapidly.
aimTo update the current state of knowledge on event-based Internet biosurveillance systems by identifying all systems, including current functionality, with hopes to aid decision makers with whether to incorporate new methods into comprehensive programmes of surveillance.
methodsA systematic review was performed through PubMed, Scopus, and Google Scholar databases, while also including grey literature and other publication types.
results50 event-based Internet systems were identified, including an extraction of 15 attributes for each system, described in 99 articles. Each system uses different innovative technology and data sources to gather data, process, and disseminate data to detect infectious disease outbreaks.
conclusionsThe review emphasises the importance of using both formal and informal sources for timely and accurate infectious disease outbreak surveillance, cataloguing all event-based Internet biosurveillance systems. By doing so, future researchers will be able to use this review as a library for referencing systems, with hopes of learning, building, and expanding Internet-based surveillance systems. Event-based Internet biosurveillance should act as an extension of traditional systems, to be utilised as an additional, supplemental data source to have a more comprehensive estimate of disease burden.
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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.