Literature DB >> 24721165

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

Un-In Wu1, Jann-Tay Wang1, Shan-Chwen Chang2, Yu-Chung Chuang1, Wei-Ru Lin3, Min-Chi Lu4, Po-Liang Lu3, Fu-Chang Hu5, Jen-Hsiang Chuang6, Yee-Chun Chen7.   

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 (R(2)=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 an influenza pandemic.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Effectiveness; Influenza; Mass vaccination; Pandemic; Prioritization; Time-series regression analysis

Mesh:

Year:  2014        PMID: 24721165     DOI: 10.1016/j.ijid.2014.02.016

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  6 in total

1.  Tailoring time series models for forecasting coronavirus spread: Case studies of 187 countries.

Authors:  Leila Ismail; Huned Materwala; Taieb Znati; Sherzod Turaev; Moien A B Khan
Journal:  Comput Struct Biotechnol J       Date:  2020-09-24       Impact factor: 7.271

2.  Psychogenic illness following vaccination: exploratory study of mass vaccination against pandemic influenza A (H1N1) in 2009 in South Korea.

Authors:  Tae Un Yang; Hee Jung Kim; Yeon Kyeong Lee; Young-Joon Park
Journal:  Clin Exp Vaccine Res       Date:  2017-01-25

3.  Optimizing influenza vaccine policies for controlling 2009-like pandemics and regular outbreaks.

Authors:  Sheng-I Chen; Chia-Yuan Wu; Yu-Hsuan Wu; Min-Wei Hsieh
Journal:  PeerJ       Date:  2019-01-28       Impact factor: 2.984

4.  Global dynamics of a novel deterministic and stochastic SIR epidemic model with vertical transmission and media coverage.

Authors:  Xiaodong Wang; Chunxia Wang; Kai Wang
Journal:  Adv Differ Equ       Date:  2020-12-04

5.  Predictive Symptoms and Signs of Laboratory-confirmed Influenza: A Prospective Surveillance Study of Two Metropolitan Areas in Taiwan.

Authors:  Jeng-How Yang; Po-Yen Huang; Shian-Sen Shie; Shuan Yang; Kuo-Chien Tsao; Tsu-Lan Wu; Hsieh-Shong Leu; Ching-Tai Huang
Journal:  Medicine (Baltimore)       Date:  2015-11       Impact factor: 1.889

Review 6.  Centennial review of influenza in Taiwan.

Authors:  Yu-Nong Gong; Rei-Lin Kuo; Guang-Wu Chen; Shin-Ru Shih
Journal:  Biomed J       Date:  2018-09-10       Impact factor: 4.910

  6 in total

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