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

Simulated anthrax attacks and syndromic surveillance.

James D Nordin1, Michael J Goodman, Martin Kulldorff

  • 1HealthPartners Research Foundation, Minneapolis, Minnesota 55440-1524, USA. james.d.nordin@health-partners.com

Emerging Infectious Diseases
|October 19, 2005
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

Colonization with multidrug-resistant organisms (MDROs) including <i>Candidozyma auris</i> among residents in ventilator-designated versus non-ventilator-designated beds at skilled nursing facilities (SNFs).

Infection control and hospital epidemiology·2026
Same author

Improving Empiric Antibiotic Selection for Patients With Cancer Hospitalized With Infection: Secondary Analysis of the INSPIRE Cluster Randomized Trials.

JAMA network open·2026
Same author

Impacts of a Public Health Emergency on Cancer Testing Rates, Follow-up, and Cancer Diagnosis: an Evaluation of the COVID-19 Pandemic.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

BMI and Initiation of Cancer Screening: A Closer Look at Differences by Race, Ethnicity, and Sex in a Multicenter Population.

American journal of preventive medicine·2026
Same author

Lung Cancer Yield by Baseline Screening Lung CT Screening Reporting and Data System (Lung-RADS) Assignment and Patient Factors: The Population-Based Research to Optimize the Screening Process Lung Consortium.

CHEST pulmonary·2026
Same author

BPI26-026: Comparative Survival Analysis of Neoadjuvant vs Adjuvant Chemoimmunotherapy in Non-Small Cell Lung Cancer: Insights From the National Cancer Database.

Journal of the National Comprehensive Cancer Network : JNCCN·2026
Same journal

Detection of and Early Genomic Insights into Chikungunya Virus, Bolivia, 2025.

Emerging infectious diseases·2026
Same journal

Household Transmission of Enterovirus D68, Washington and Oregon, United States, 2022-2024.

Emerging infectious diseases·2026
Same journal

New World Ocular Dirofilariasis Caused by Dirofilaria repens Infection, United States.

Emerging infectious diseases·2026
Same journal

Angiostrongylus cantonensis Rat Lungworm Detected in Rats, Madagascar, 2022-2023.

Emerging infectious diseases·2026
Same journal

Human Pulmonary Dirofilariasis,
North Queensland, Australia, 2023<sup>1</sup>.

Emerging infectious diseases·2026
Same journal

Trends in Congenital Syphilis Cases by Maternal Country of Birth, Spain, 2016-2024.

Emerging infectious diseases·2026
See all related articles

This study evaluated a syndromic surveillance system

Area of Science:

  • Public Health
  • Epidemiology
  • Biosecurity

Background:

  • Syndromic surveillance systems are crucial for early detection of public health threats.
  • Bioterrorism events require rapid identification to mitigate impact.
  • Evaluating the performance of these systems is essential for preparedness.

Purpose of the Study:

  • To measure the sensitivity and timeliness of a syndromic surveillance system in detecting bioterrorism.
  • To model a hypothetical anthrax release and assess detection capabilities.
  • To provide insights for the evaluation of other public health surveillance systems.

Main Methods:

  • Simulated 1,000 anthrax releases at various infection levels using population and healthcare data.
  • Utilized zip code data, mall customer surveys, and HealthPartners Medical Group membership.

Related Experiment Videos

  • Employed the space-time scan statistic for analysis, incorporating actual respiratory visit data.

    • Main Results:

    • Detection timeliness and completeness varied significantly with infection rates.
    • The system achieved first detection of events between days 3 and 6.
    • The proportion of attacks detected was dependent on the attack rate.

    Conclusions:

    • Syndromic surveillance systems show potential for bioterrorism detection, with performance varying by infection level.
    • The modeling approach can be adapted for evaluating other surveillance systems.
    • Further evaluation and refinement of these systems are recommended for enhanced biosecurity.