Literature DB >> 23850417

Variable definitions of the influenza season and their impact on vaccine effectiveness estimates.

Sheena G Sullivan1, Ee Laine Tay, Heath Kelly.   

Abstract

Vaccine effectiveness (VE) studies are often made for a "season" which may refer to different analysis periods in different systems. We examined whether the use of four different definitions of season would materially affect estimates of influenza VE using data from the Victorian general practice sentinel surveillance network for 2007-2012. In general, the choice of analysis period had little effect on VE estimates (≤ five percentage points) when there was a statistically significant protective effect of vaccination (2007, 2010 and 2012). In contrast, for years when the analysis period varied widely depending on the method used and when VE estimates were imprecise, the change in VE estimate was as much as 43 percentage points (2008). Studies of influenza VE should clearly define the analysis period used and, where possible, provide sensitivity analyses to align this definition with other VE studies.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords:  Influenza; Influenza season; Influenza vaccine; Influenza-like illness; Vaccine effectiveness

Mesh:

Substances:

Year:  2013        PMID: 23850417     DOI: 10.1016/j.vaccine.2013.06.103

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  13 in total

Review 1.  Potential of the test-negative design for measuring influenza vaccine effectiveness: a systematic review.

Authors:  Sheena G Sullivan; Shuo Feng; Benjamin J Cowling
Journal:  Expert Rev Vaccines       Date:  2014-10-28       Impact factor: 5.217

2.  Temporal Confounding in the Test-Negative Design.

Authors:  Natalie E Dean; M Elizabeth Halloran; Ira M Longini
Journal:  Am J Epidemiol       Date:  2020-11-02       Impact factor: 4.897

3.  The Use of Test-negative Controls to Monitor Vaccine Effectiveness: A Systematic Review of Methodology.

Authors:  Huiying Chua; Shuo Feng; Joseph A Lewnard; Sheena G Sullivan; Christopher C Blyth; Marc Lipsitch; Benjamin J Cowling
Journal:  Epidemiology       Date:  2020-01       Impact factor: 4.822

4.  Regression approaches in the test-negative study design for assessment of influenza vaccine effectiveness.

Authors:  H S Bond; S G Sullivan; B J Cowling
Journal:  Epidemiol Infect       Date:  2016-01-06       Impact factor: 2.451

5.  Quantifying differences in the epidemic curves from three influenza surveillance systems: a nonlinear regression analysis.

Authors:  E G Thomas; J M McCAW; H A Kelly; K A Grant; J McVERNON
Journal:  Epidemiol Infect       Date:  2014-04-23       Impact factor: 4.434

6.  Inter-Seasonal Influenza is Characterized by Extended Virus Transmission and Persistence.

Authors:  Zoe Patterson Ross; Naomi Komadina; Yi-Mo Deng; Natalie Spirason; Heath A Kelly; Sheena G Sullivan; Ian G Barr; Edward C Holmes
Journal:  PLoS Pathog       Date:  2015-06-24       Impact factor: 6.823

7.  The Global Influenza Hospital Surveillance Network (GIHSN): a new platform to describe the epidemiology of severe influenza.

Authors:  Joan Puig-Barberà; Anita Tormos; Svetlana Trushakova; Anna Sominina; Maria Pisareva; Meral A Ciblak; Selim Badur; Hongjie Yu; Benjamin J Cowling; Elena Burtseva
Journal:  Influenza Other Respir Viruses       Date:  2015-11       Impact factor: 4.380

8.  Continental synchronicity of human influenza virus epidemics despite climatic variation.

Authors:  Jemma L Geoghegan; Aldo F Saavedra; Sebastián Duchêne; Sheena Sullivan; Ian Barr; Edward C Holmes
Journal:  PLoS Pathog       Date:  2018-01-11       Impact factor: 6.823

9.  Pooled influenza vaccine effectiveness estimates for Australia, 2012-2014.

Authors:  S G Sullivan; K S Carville; M Chilver; J E Fielding; K A Grant; H Kelly; A Levy; N P Stocks; S S Tempone; A K Regan
Journal:  Epidemiol Infect       Date:  2016-04-29       Impact factor: 4.434

10.  2012-2013 Seasonal influenza vaccine effectiveness against influenza hospitalizations: results from the global influenza hospital surveillance network.

Authors:  Joan Puig-Barberà; Angels Natividad-Sancho; Odile Launay; Elena Burtseva; Meral A Ciblak; Anita Tormos; Amparo Buigues-Vila; Sergio Martínez-Úbeda; Anna Sominina
Journal:  PLoS One       Date:  2014-06-19       Impact factor: 3.240

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