Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Knowledge-based bioterrorism surveillance.

David L Buckeridge1, Justin Graham, Martin J O'Connor

  • 1Medical Informatics, Stanford University, Stanford Medical Informatics, Stanford, CA, USA.

Proceedings. AMIA Symposium
|December 5, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Knowledge Engineering for Open Science: Building and Deploying Knowledge Bases for Metadata Standards.

AI magazine·2026
Same author

Timely Availability and Accessibility of Health Data: Meeting the Challenge of Pan-Canadian Health Charter Principle 6.

Healthcare management forum·2026
Same author

Mapping the terminology of the early rescue chain to the Foundation of ICD-11: Registered report protocol.

PloS one·2026
Same author

The HuBMAP Framework for Advancing Data FAIRness.

bioRxiv : the preprint server for biology·2026
Same author

An Exploration of Machine Learning Methods in Human Biomonitoring.

International journal of environmental research and public health·2026
Same author

Frequency-Based Prioritization of ICD-10-CA/CCI to OMOP Mapping in a Canadian Hospital Data Warehouse: Coverage and Usagi Performance.

Studies in health technology and informatics·2026
Same journal

Progressive display of very high resolution images using wavelets.

Proceedings. AMIA Symposium·2002
Same journal

The Chronus II temporal database mediator.

Proceedings. AMIA Symposium·2002
Same journal

Gene expression levels in different stages of progression in oral squamous cell carcinoma.

Proceedings. AMIA Symposium·2002
Same journal

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

Proceedings. AMIA Symposium·2002
Same journal

Filtering for medical news items using a machine learning approach.

Proceedings. AMIA Symposium·2002
Same journal

Enriching the structure of the UMLS semantic network.

Proceedings. AMIA Symposium·2002
See all related articles

Early detection of bioterrorism-linked epidemics is crucial. This study introduces BioSTORM, a knowledge-based surveillance system, to improve rapid epidemic detection and monitoring for public health intervention.

Area of Science:

  • Public Health
  • Epidemiology
  • Biosecurity

Background:

  • Bioterrorism poses a significant catastrophic threat.
  • Effective public health intervention relies on early epidemic detection and characterization.
  • Current surveillance systems lack efficiency in rapid detection and monitoring.

Purpose of the Study:

  • To advocate for knowledge-based surveillance methods.
  • To introduce BioSTORM, a prototype system for real-time epidemic surveillance.
  • To evaluate BioSTORM's effectiveness in a simulated bioterrorism scenario.

Main Methods:

  • Developing a knowledge-based approach to integrate surveillance data and existing knowledge.
  • Designing and implementing the BioSTORM system for real-time epidemic monitoring.

Related Experiment Videos

  • Conducting an initial evaluation of BioSTORM using simulated bioterrorism-related epidemic data.

    • Main Results:

    • Knowledge-based methods offer a coherent approach to integrate diverse data and knowledge.
    • The BioSTORM prototype demonstrates potential for real-time epidemic surveillance.
    • Initial evaluation indicates BioSTORM's applicability to simulated bioterrorism events.

    Conclusions:

    • Knowledge-based surveillance systems like BioSTORM can enhance early epidemic detection.
    • Improved surveillance is critical for mitigating the impact of bioterrorism-induced epidemics.
    • Further development and evaluation of BioSTORM are warranted.