ArticleEmerging themes in epidemiology2012
Event-based internet biosurveillance: relation to epidemiological observation.
Article in Emerging themes in epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital disease detection: A systematic review of event-based internet biosurveillance systems.International journal of medical informatics · 2017Pooled it
- Mathematical models and analysis tools for risk assessment of unnatural epidemics: a scoping review.Frontiers in public health · 2024Article
- Data-driven epidemiologic approach to conducting site feasibility for a global phase III tuberculosis vaccine clinical trial.PLOS global public health · 2023Article
- The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations.Child abuse & neglect · 2018Article
- Automated Real-Time Collection of Pathogen-Specific Diagnostic Data: Syndromic Infectious Disease Epidemiology.JMIR public health and surveillance · 2018Article
- Biosurveillance enterprise for operational awareness, a genomic-based approach for tracking pathogen virulence.Virulence · 2013Review
- Article
- Active surveillance of sudden cardiac death in young athletes by periodic Internet searches.Pediatric cardiology · 2013Article
- Interfacing a biosurveillance portal and an international network of institutional analysts to detect biological threats.Biosecurity and bioterrorism : biodefense strategy, practice, and scienceArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelled
backgroundThe World Health Organization (WHO) collects and publishes surveillance data and statistics for select diseases, but traditional methods of gathering such data are time and labor intensive. Event-based biosurveillance, which utilizes a variety of Internet sources, complements traditional surveillance. In this study we assess the reliability of Internet biosurveillance and evaluate disease-specific alert criteria against epidemiological data.
methodsWe reviewed and compared WHO epidemiological data and Argus biosurveillance system data for pandemic (H1N1) 2009 (April 2009 - January 2010) from 8 regions and 122 countries to: identify reliable alert criteria among 15 Argus-defined categories; determine the degree of data correlation for disease progression; and assess timeliness of Internet information.
resultsArgus generated a total of 1,580 unique alerts; 5 alert categories generated statistically significant (p < 0.05) correlations with WHO case count data; the sum of these 5 categories was highly correlated with WHO case data (r = 0.81, p < 0.0001), with expected differences observed among the 8 regions. Argus reported first confirmed cases on the same day as WHO for 21 of the first 64 countries reporting cases, and 1 to 16 days (average 1.5 days) ahead of WHO for 42 of those countries.
conclusionConfirmed pandemic (H1N1) 2009 cases collected by Argus and WHO methods returned consistent results and confirmed the reliability and timeliness of Internet information. Disease-specific alert criteria provide situational awareness and may serve as proxy indicators to event progression and escalation in lieu of traditional surveillance data; alerts may identify early-warning indicators to another pandemic, preparing the public health community for disease events.
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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.