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Modelling the risk-benefit impact of H1N1 influenza vaccines
Author(s) -
Lawrence D. Phillips,
Barbara Fasolo,
N. Zafiropoulous,
Hans Georg Eichler,
Falk Ehmann,
Veronika Jekerle,
Piotr Kramarz,
A Nicoll,
Thomas Lönngren
Publication year - 2013
Publication title -
european journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 91
eISSN - 1464-360X
pISSN - 1101-1262
DOI - 10.1093/eurpub/ckt006
Subject(s) - deliberation , weighting , pandemic , medicine , decision tree , decision analysis , risk assessment , decision aids , operations research , actuarial science , disease , covid-19 , infectious disease (medical specialty) , computer science , statistics , business , alternative medicine , data mining , computer security , political science , mathematics , pathology , radiology , politics , law
Shortly after the H1N1 influenza virus reached pandemic status in June 2009, the benefit-risk project team at the European Medicines Agency recognized this presented a research opportunity for testing the usefulness of a decision analysis model in deliberations about approving vaccines soon based on limited data or waiting for more data. Undertaken purely as a research exercise, the model was not connected to the ongoing assessment by the European Medicines Agency, which approved the H1N1 vaccines on 25 September 2009.

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