Prospective Influenza Vaccine Safety Surveillance Using Fresh Data in the Sentinel System

Project Title Prospective Influenza Vaccine Safety Surveillance Using Fresh Data in the Sentinel System
Date
Saturday, April 30, 2016
Location

Pharmacoepidemiology and Drug Safety, 2016, Volume 25, Issue 5, Pages 481–492, DOI: 10.1002/pds.3908

Description

The Sentinel System can implement a sequential analysis system that uses fresh data for medical product safety surveillance. Active surveillance using sequential analysis of fresh data holds promise for detecting clinically significant health risks early. Limitations of employing fresh data for surveillance include cost and the need for careful scrutiny of signals.

Medical Product
influenza vaccine
Health Outcome
febrile seizure
Population / Cohort
All individuals
Corresponding Author

W. K. Yih, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Dr., Suite 401, Boston, MA 02215, USA. E-mail: katherine_yih@harvardpilgrim.org

Authors

W. Katherine Yih, PhD, MPH; Martin Kulldorff, PhD; Sukhminder K. Sandhu, PhD, MPH, MS; Lauren Zichittella, MS; Judith C. Maro, PhD, MS; David V. Cole, BM; Robert Jin, MS; Alison Tse Kawai, ScD; Meghan A. Baker, MD, ScD; Chunfu Liu, ScD; Cheryl N McMahill-Walraven, PhD, MSW; Mano S. Selvan, PhD; Richard Platt, MD, MSc; Michael Nguyen, MD; Grace M. Lee, MD, MPH

Related Assessments
Accessing the Freshest Feasible Data for Conducting Active Influenza Vaccine Safety Surveillance (PRISM)
Publication Type
Publication
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