Article ID Journal Published Year Pages File Type
3362289 International Journal of Infectious Diseases 2015 7 Pages PDF
Abstract

•Multiyear studies are preferred for estimating robust influenza vaccine effectiveness over time.•An efficient way to evaluate the influenza vaccine effectiveness was used, through data linkage of two already established systems in the public health sector.•We applied both fixed-effects and random-effects meta-analysis of case–control studies to estimate the pooled vaccine effectiveness for children aged 6–59 months across five influenza seasons and considered the variation in antigenic match and epidemics year by year as the heterogeneity between studies.

SummaryObjectivesWe aimed to estimate the pooled vaccine effectiveness (VE) in children over five winters through data linkage of two existing surveillance systems.MethodsFive test-negative case–control studies were conducted from November to February during the 2004/2005 to 2008/2009 seasons. Sentinel physicians from the Viral Surveillance Network enrolled children aged 6–59 months with influenza-like illness to collect throat swabs. Through linking with a nationwide vaccination registry, we measured the VE with a logistic regression model adjusting for age, gender, and week of symptom onset. Both fixed-effects and random-effects models were used in the meta-analysis.ResultsFour thousand four hundred and ninety-four subjects were included. The proportion of influenza test-positive subjects across the five seasons was 11.5% (132/1151), 7.2% (41/572), 23.9% (189/791), 6.6% (75/1135), and 11.2% (95/845), respectively. The pooled VE was 62% (95% confidence interval (CI) 48–83%) in both meta-analysis models. By age category, VE was 51% (95% CI 23–68%) for those aged 6–23 months and 75% (95% CI 60–84%) for those aged 24–59 months.ConclusionsInfluenza vaccination provided measurable protection against laboratory-confirmed influenza among children aged 6–59 months despite variations in the vaccine match during the 2004/2005 to 2008/2009 influenza seasons in Taiwan.

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Life Sciences Immunology and Microbiology Applied Microbiology and Biotechnology
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