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

    Basic Details
    Date
    Saturday, April 30, 2016
    Type
    Publication
    Medical Product
    influenza vaccine
    Health Outcome(s)
    febrile seizure
    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.

    Information
    Population / Cohort
    All individuals
    Author(s)

    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

    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