Literature DB >> 20863233

Effectiveness of public health measures in mitigating pandemic influenza spread: a prospective sero-epidemiological cohort study.

Vernon J Lee1, Jonathan Yap, Alex R Cook, Mark I Chen, Joshua K Tay, Ian Barr, Anne Kelso, Boon Huan Tan, Jin Phang Loh, Raymond Lin, Lin Cui, Paul M Kelly, Yee Sin Leo, Kee Seng Chia, Wee Lee Kang, Paul A Tambyah, Benjamin Seet.   

Abstract

BACKGROUND: Few studies have validated the effectiveness of public health interventions in reducing influenza spread in real‐life settings. We aim to validate these measures used during the 2009 pandemic.
METHODS: From 22 June to 9 October 2009, we performed a prospective observational cohort study using paired serum samples and symptom review among 3 groups of Singapore military personnel. "Normal" units were subjected to prevailing pandemic response policies. "Essential" units and health care workers had additional public health interventions (eg, enhanced surveillance with isolation, segregation, personal protective equipment). Samples were tested by hemagglutination inhibition; the principal outcome was seroconversion to 2009 influenza A(H1N1).
RESULTS: In total, 1015 individuals in 14 units completed the study, with 29% overall seroconversion. Seroconversion among essential units (17%) and health care workers (11%) was significantly lower than that in normal units (44%) (P = .001). Symptomatic illness attributable to influenza was also lower in essential units (5%) and health care workers (2%) than in normal units (12%) (P = .06). Adjusted for confounders, unit type was the only significant variable influencing overall seroconversion ( P < .05). From multivariate analysis within each unit, age (P < .001) and baseline antibody titer (P = .012 ) were inversely related to seroconversion risk.
CONCLUSIONS: Public health measures are effective in limiting influenza transmission in closed environments.

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Year:  2010        PMID: 20863233     DOI: 10.1086/656480

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  25 in total

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Authors:  Tom Jefferson; Chris B Del Mar; Liz Dooley; Eliana Ferroni; Lubna A Al-Ansary; Ghada A Bawazeer; Mieke L van Driel; Sreekumaran Nair; Mark A Jones; Sarah Thorning; John M Conly
Journal:  Cochrane Database Syst Rev       Date:  2011-07-06

2.  Seroprevalence of pandemic (H1N1) 2009 influenza and effectiveness of 2010/2011 influenza vaccine during 2010/2011 season in Beijing, China.

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Review 3.  Respiratory Infections in the U.S. Military: Recent Experience and Control.

Authors:  Jose L Sanchez; Michael J Cooper; Christopher A Myers; James F Cummings; Kelly G Vest; Kevin L Russell; Joyce L Sanchez; Michelle J Hiser; Charlotte A Gaydos
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4.  Did modeling overestimate the transmission potential of pandemic (H1N1-2009)? Sample size estimation for post-epidemic seroepidemiological studies.

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5.  Self-diagnosis of influenza during a pandemic: a cross-sectional survey.

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Authors:  Heath Kelly; Heidi A Peck; Karen L Laurie; Peng Wu; Hiroshi Nishiura; Benjamin J Cowling
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8.  Rapid Evidence Assessment of Mental Health Outcomes of Pandemics for Health Care Workers: Implications for the Covid-19 Pandemic.

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9.  Teacher led school-based surveillance can allow accurate tracking of emerging infectious diseases - evidence from serial cross-sectional surveys of febrile respiratory illness during the H1N1 2009 influenza pandemic in Singapore.

Authors:  Shu E Soh; Alex R Cook; Mark I C Chen; Vernon J Lee; Jeffery L Cutter; Vincent T K Chow; Nancy W S Tee; Raymond T P Lin; Wei-Yen Lim; Ian G Barr; Cui Lin; Meng Chee Phoon; Li Wei Ang; Sunil K Sethi; Chia Yin Chong; Lee Gan Goh; Denise L M Goh; Paul A Tambyah; Koh Cheng Thoon; Yee Sin Leo; Seang Mei Saw
Journal:  BMC Infect Dis       Date:  2012-12-04       Impact factor: 3.090

10.  Sample size considerations for one-to-one animal transmission studies of the influenza A viruses.

Authors:  Hiroshi Nishiura; Hui-Ling Yen; Benjamin J Cowling
Journal:  PLoS One       Date:  2013-01-31       Impact factor: 3.240

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