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

Data mining in the US using the Vaccine Adverse Event Reporting System.

John Iskander1, Vitali Pool, Weigong Zhou

  • 1Office of Immunization Safety, Office of the Chief Science Officer, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA. jxi0@cdc.gov

Drug Safety
|May 13, 2006
PubMed
Summary

The US Vaccine Adverse Event Reporting System (VAERS) uses data-mining to detect vaccine safety signals amid increasing reports. This approach helps identify potential issues for further investigation in a complex immunization landscape.

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

Costs and cost-effectiveness of influenza illness and vaccination in low- and middle-income countries: A systematic review from 2012 to 2022.

PLoS medicine·2024
Same author

Increased Burden of Pertussis Among Adolescents and Adults With Asthma or COPD in the United States, 2007 to 2019.

Chest·2023
Same author

Polysubstance Use in Pregnancy: Surveillance, Interventions, and Next Steps.

Journal of women's health (2002)·2023
Same author

Moral Injury Among US Public Health Service First Responders During the COVID-19 Pandemic.

Public health reports (Washington, D.C. : 1974)·2023
Same author

Enhanced Adenovirus Vaccine Safety Surveillance in Military Setting, United States.

Emerging infectious diseases·2023
Same author

Hospitalizations Among Active Duty Members of the U.S. Coast Guard, Fiscal Year 2021.

MSMR·2023

Area of Science:

  • Public Health
  • Vaccinology
  • Biostatistics

Background:

  • The US Vaccine Adverse Event Reporting System (VAERS) monitors vaccine safety.
  • Increased vaccine licensing and co-administration have led to more complex reporting.
  • New post-vaccination clinical syndromes are frequently reported.

Purpose of the Study:

  • To enhance the utility of the VAERS database using data-mining methods.
  • To identify vaccine safety signals more effectively.
  • To adapt VAERS for an evolving immunization environment.

Main Methods:

  • Disproportionality analyses, including proportional reporting ratios and association rule discovery.
  • Comparison of observed versus expected event counts using 'historic limits' methods.

Related Experiment Videos

  • Retrospective and supplemental application of data-mining techniques.

    • Main Results:

    • Successfully identified safety signals for inactivated influenza, typhoid, and tetanus toxoid-containing vaccines.
    • Demonstrated the feasibility of using data-mining for signal detection in VAERS.
    • Highlighted the need for clinical case review and hypothesis testing for flagged concerns.

    Conclusions:

    • Data-mining is a valuable tool for improving VAERS's ability to generate vaccine-safety hypotheses.
    • Automated, prospective data-mining techniques are under development for VAERS.
    • Trained evaluators using data-mining as one signal-detection tool can enhance vaccine safety surveillance.