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

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Details

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.

Materials:

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

Additional Information

Information

Population / Cohort:

All individuals

Contributors

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

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

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