ArticleCanada communicable disease report = Releve des maladies transmissibles au Canada2015
Big Data and the Global Public Health Intelligence Network (GPHIN).
Article in Canada communicable disease report = Releve des maladies transmissibles au Canada, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.
What it found
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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
47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.
- Effectiveness of early warning systems in the detection of infectious diseases outbreaks: a systematic review.BMC public health · 2022Pooled it
- Web-based infectious disease surveillance systems and public health perspectives: a systematic review.BMC public health · 2016Pooled it
- Mortality surveillance as an early warning system for respiratory infection outbreaks: lessons from the COVID-19 pandemic in Alexandria, Egypt.The Journal of the Egyptian Public Health Association · 2026Article
- Building the Workforce's Capacity to Support the Digital Transformation of Public Health: Environmental Scan of Training Programs for Digital Technologies in Public Health.JMIR public health and surveillance · 2025Article
- Opportunities and Challenges for an Organizational Digital Public Health Strategy in a Provincial Public Health Program in Canada: Qualitative Description of Practitioner Perspectives.JMIR public health and surveillance · 2025Article
- Drawing on the Development Experiences of Infectious Disease Surveillance Systems Around the World.China CDC weekly · 2024Article
- 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
- Constructing big data prevention and control model for public health emergencies in China: A grounded theory study.Frontiers in public health · 2023Article
- Web-based surveillance of respiratory infection outbreaks: retrospective analysis of Italian COVID-19 epidemic waves using Google Trends.Frontiers in public health · 2023Article
- Emerging data inputs for infectious diseases surveillance and decision making.Frontiers in digital health · 2023Review
- Global Variations in Event-Based Surveillance for Disease Outbreak Detection: Time Series Analysis.JMIR public health and surveillance · 2022Article
- Future perspectives of emerging infectious diseases control: A One Health approach.One health (Amsterdam, Netherlands) · 2022Article
- Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19.Patterns (New York, N.Y.) · 2022Article
- The role of AI technology in prediction, diagnosis and treatment of colorectal cancer.Artificial intelligence review · 2022Article
- A survey of data element perspective: Application of artificial intelligence in health big data.Frontiers in neuroscience · 2022Article
- Evolutionary clustering and community detection algorithms for social media health surveillance.Machine learning with applications · 2021Article
- Defining the Scope of Digital Public Health and Its Implications for Policy, Practice, and Research: Protocol for a Scoping Review.JMIR research protocols · 2021Article
- Digital Biosurveillance for Zoonotic Disease Detection in Kenya.Pathogens (Basel, Switzerland) · 2021Article
- Leveraging the Electronic Health Record to Address the COVID-19 Pandemic.Mayo Clinic proceedings · 2021Review
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlobalization and the potential for rapid spread of emerging infectious diseases have heightened the need for ongoing surveillance and early detection. The Global Public Health Intelligence Network (GPHIN) was established to increase situational awareness and capacity for the early detection of emerging public health events.
objectiveTo describe how the GPHIN has used Big Data as an effective early detection technique for infectious disease outbreaks worldwide and to identify potential future directions for the GPHIN.
findingsEvery day the GPHIN analyzes over more than 20,000 online news reports (over 30,000 sources) in nine languages worldwide. A web-based program aggregates data based on an algorithm that provides potential signals of emerging public health events which are then reviewed by a multilingual, multidisciplinary team. An alert is sent out if a potential risk is identified. This process proved useful during the Severe Acute Respiratory Syndrome (SARS) outbreak and was adopted shortly after by a number of countries to meet new International Health Regulations that require each country to have the capacity for early detection and reporting. The GPHIN identified the early SARS outbreak in China, was credited with the first alert on MERS-CoV and has played a significant role in the monitoring of the Ebola outbreak in West Africa. Future developments are being considered to advance the GPHIN's capacity in light of other Big Data sources such as social media and its analytical capacity in terms of algorithm development.
conclusionThe GPHIN's early adoption of Big Data has increased global capacity to detect international infectious disease outbreaks and other public health events. Integration of additional Big Data sources and advances in analytical capacity could further strengthen the GPHIN's capability for timely detection and early warning.
Identifiers
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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.