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Impacts of a mass vaccination campaign against pandemic H1N1 2009 influenza in Taiwan: a time-series regression analysis

tetano

Editor, Senior Moderator
Int J Infect Dis. 2014 Apr 7. pii: S1201-9712(14)01455-6. doi: 10.1016/j.ijid.2014.02.016. [Epub ahead of print]
Impacts of a mass vaccination campaign against pandemic H1N1 2009 influenza in Taiwan: a time-series regression analysis.
Wu UI1, Wang JT1, Chang SC2, Chuang YC1, Lin WR3, Lu MC4, Lu PL3, Hu FC5, Chuang JH6, Chen YC7; TIDSNet for pH1N1 vaccination.
Author information
Abstract
OBJECTIVES:

A multicenter, hospital-wide, clinical and epidemiological study was conducted to assess the effectiveness of the mass influenza vaccination program during the 2009 H1N1 influenza pandemic, and the impact of the prioritization strategy among people at different levels of risk.
METHODS AND RESULTS:

Among the 34 359 medically attended patients who displayed an influenza-like illness and had a rapid influenza diagnostic test (RIDT) at one of the three participating hospitals, 21.0% tested positive for influenza A. The highest daily number of RIDT-positive cases in each hospital ranged from 33 to 56. A well-fitted multiple linear regression time-series model (R2=0.89) showed that the establishment of special community flu clinics averted an average of nine cases daily (p=0.005), and an increment of 10% in daily mean level of population immunity against pH1N1 through vaccination prevented five cases daily (p<0.001). Moreover, the regression model predicted five-fold or more RIDT-positive cases if the mass influenza vaccination program had not been implemented and 39.1% more RIDT-positive cases if older adults had been prioritized for vaccination above school-aged children.
CONCLUSIONS:

Mass influenza vaccination was an effective control measure, and school-aged children should be assigned a higher priority for vaccination than older adults during such an influenza pandemic.

Copyright ? 2014. Published by Elsevier Ltd.
KEYWORDS:

Effectiveness, Influenza, Mass vaccination, Pandemic, Prioritization, Time-series regression analysis

PMID:
24721165
[PubMed - as supplied by publisher]

http://www.ncbi.nlm.nih.gov/pubmed/24721165
 
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