R
Roseanne English-Bullard
Researcher at Centers for Disease Control and Prevention
Publications - 4
Citations - 425
Roseanne English-Bullard is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Adverse Event Reporting System & Adverse effect. The author has an hindex of 3, co-authored 4 publications receiving 418 citations.
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Journal Article
Surveillance for safety after immunization: Vaccine Adverse Event Reporting System (VAERS)--United States, 1991-2001.
Weigong Zhou,Vitali Pool,John K. Iskander,Roseanne English-Bullard,Robert Ball,Robert P. Wise,Penina Haber,Robert Pless,Gina T. Mootrey,Susan S. Ellenberg,M. Miles Braun,Robert T. Chen +11 more
TL;DR: This report summarizes the adverse events reported to the Vaccine Adverse Event Reporting System (VAERS) from January 1, 1991, through December 31, 2001, and indicates that the most commonly reported adverse event was fever, which appeared in 25.8% of all reports.
Journal ArticleDOI
Data mining in the US using the Vaccine Adverse Event Reporting System.
TL;DR: Automated data-mining techniques for prospective use are currently undergoing development and evaluation within VAERS, and their use by trained medical evaluators who are aware of system limitations is one legitimate approach to improving the ability of VAERS to generate vaccine-safety hypotheses.
Journal ArticleDOI
Tracking vaccine lot lifecycles using reports to the vaccine adverse event reporting system (VAERS).
Gustavo H. Dayan,John K. Iskander,John W. Glasser,Roseanne English-Bullard,Kathleen E. Fullerton,Robert T. Chen +5 more
TL;DR: Data from reports to the Vaccine Adverse Event Reporting System (VAERS) is used to develop a proxy means of surveillance for the lifecycle of selected vaccine lots.
Data Mining for Post-Licensure Vaccine Safety and Policy Implications for Using Results
Henry Rolka,Lawrence E. Barker,Betsy L. Cadwell,Andrew L. Baughman,Roseanne English-Bullard,Cedric Brown,Robert C. Ball +6 more
TL;DR: It is prudent to consider and implement modern data mining methods in efforts to ensure post-licensure vaccine safety and creative application of the methods may be useful in ensuring vaccine safety.