ArticleProceedings. AMIA Symposium2002
Knowledge-based bioterrorism surveillance.
Article in Proceedings. AMIA Symposium, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed.
- Syndromic surveillance systems to detect outbreaks of gastroenteritis in high-income countries: a scoping review.BMC public health · 2026Article
- Known and Unknown Transboundary Infectious Diseases as Hybrid Threats.Frontiers in public health · 2021Article
- Software-engineering challenges of building and deploying reusable problem solvers.Artificial intelligence for engineering design, analysis and manufacturing : AI EDAM · 2009Article
- Propagation of program control: a tool for distributed disease surveillance.International journal of medical informatics · 2007Article
- Approaches to the evaluation of outbreak detection methods.BMC public health · 2006Article
- Review of syndromic surveillance: implications for waterborne disease detection.Journal of epidemiology and community health · 2006Review
- An analytic framework fo space-time aberrancy detection in public health surveillance data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2003Article
- Contextualizing heterogeneous data for integration and inference.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2003Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An epidemic resulting from an act of bioterrorism could be catastrophic. However, if an epidemic can be detected and characterized early on, prompt public health intervention may mitigate its impact. Current surveillance approaches do not perform well in terms of rapid epidemic detection or epidemic monitoring. One reason for this shortcoming is their failure to bring existing knowledge and data to bear on the problem in a coherent manner. Knowledge-based methods can integrate surveillance data and knowledge, and allow for careful evaluation of problem-solving methods. This paper presents an argument for knowledge-based surveillance, describes a prototype of BioSTORM, a system for real-time epidemic surveillance, and shows an initial evaluation of this system applied to a simulated epidemic from a bioterrorism attack.
Indexed as
Identifiers
12463790PMC2244298What 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.