Literature DB >> 17700251

How much would closing schools reduce transmission during an influenza pandemic?

Kathryn Glass1, Belinda Barnes.   

Abstract

BACKGROUND: When deciding whether to close schools during an influenza pandemic, authorities must weigh the likely benefits against the expected social disruption. Although schools have been closed to slow the spread of influenza, there is limited evidence as to the impact on transmission of disease.
METHODS: To assess the benefits of closing schools for various pandemic scenarios, we used a stochastic mathematical model of disease transmission fitted to attack rates from past influenza pandemics. We compared these benefits with those achieved by other interventions targeted at children.
RESULTS: Closing schools can reduce transmission among children considerably, but has only a moderate impact on average transmission rates among all individuals (both adults and children) under most scenarios. Much of the benefit of closing schools can be achieved if schools are closed by the time that 2% of children are infected; if the intervention is delayed until 20% of children are infected, there is little benefit. Immunization of all school children provides only a slight improvement over closing schools, indicating that schools are an important venue for transmission between children. Relative attack rates in adults and children provide a good indication of the likely benefit of closing schools, with the greatest impact seen for infections with high attack rates in children.
CONCLUSIONS: Closing schools is effective at reducing transmission between children but has only a moderate effect on average transmission rates in the wider population unless children are disproportionately affected.

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Year:  2007        PMID: 17700251     DOI: 10.1097/EDE.0b013e31812713b4

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  24 in total

1.  Recommendations for and compliance with social restrictions during implementation of school closures in the early phase of the influenza A (H1N1) 2009 outbreak in Melbourne, Australia.

Authors:  Jodie McVernon; Kate Mason; Sylvia Petrony; Paula Nathan; Anthony D LaMontagne; Rebecca Bentley; James Fielding; David M Studdert; Anne Kavanagh
Journal:  BMC Infect Dis       Date:  2011-09-30       Impact factor: 3.090

2.  Influenza-like illness in a community surrounding a school-based outbreak of 2009 pandemic influenza A (H1N1) virus-Chicago, Illinois, 2009.

Authors:  Kristen B Janusz; Jennifer E Cortes; Fadila Serdarevic; Roderick C Jones; Joshua D Jones; Kathleen A Ritger; Julie Y Morita; Susan I Gerber; L Gallagher; Brad J Biggerstaff; Lauri A Hicks; David L Swerdlow; Marc Fischer; J Erin Staples
Journal:  Clin Infect Dis       Date:  2011-01-01       Impact factor: 9.079

3.  Analysis of the effectiveness of interventions used during the 2009 A/H1N1 influenza pandemic.

Authors:  Nilimesh Halder; Joel K Kelso; George J Milne
Journal:  BMC Public Health       Date:  2010-03-29       Impact factor: 3.295

4.  Influenza and school-based influenza-like illness surveillance: a pilot initiative in Maryland.

Authors:  Geoffrey B Crawford; Sara McKelvey; Janet Crooks; Karen Siska; Kelly Russo; Jinlene Chan
Journal:  Public Health Rep       Date:  2011 Jul-Aug       Impact factor: 2.792

5.  School opening dates predict pandemic influenza A(H1N1) outbreaks in the United States.

Authors:  Dennis L Chao; M Elizabeth Halloran; Ira M Longini
Journal:  J Infect Dis       Date:  2010-09-15       Impact factor: 5.226

6.  Likely effectiveness of pharmaceutical and non-pharmaceutical interventions for mitigating influenza virus transmission in Mongolia.

Authors:  K J Bolton; J M McCaw; R Moss; R S Morris; S Wang; A Burma; B Darma; D Narangerel; P Nymadawa; J McVernon
Journal:  Bull World Health Organ       Date:  2012-04-01       Impact factor: 9.408

7.  Preparedness for the spread of influenza: prohibition of traffic, school closure, and vaccination of children in the commuter towns of Tokyo.

Authors:  Hidenori Yasuda; Nobuaki Yoshizawa; Mikio Kimura; Mika Shigematsu; Masaaki Matsumoto; Shoji Kawachi; Masamichi Oshima; Kenji Yamamoto; Kazuo Suzuki
Journal:  J Urban Health       Date:  2008-05-01       Impact factor: 3.671

8.  Age-Specific Patterns of Influenza Activity in Utah: Do Older School Age Children Drive the Epidemic?

Authors:  Chris Stockmann; Andrew T Pavia; Adam L Hersh; Michael G Spigarelli; Brooks Castle; Kent Korgenski; Carrie L Byington; Krow Ampofo
Journal:  J Pediatric Infect Dis Soc       Date:  2013-02-14       Impact factor: 3.164

9.  Conjunction of factors triggering waves of seasonal influenza.

Authors:  Ishanu Chattopadhyay; Emre Kiciman; Joshua W Elliott; Jeffrey L Shaman; Andrey Rzhetsky
Journal:  Elife       Date:  2018-02-27       Impact factor: 8.140

10.  Modelling the progression of pandemic influenza A (H1N1) in Vietnam and the opportunities for reassortment with other influenza viruses.

Authors:  Maciej F Boni; Bui Huu Manh; Pham Quang Thai; Jeremy Farrar; Tran Tinh Hien; Nguyen Tran Hien; Nguyen Van Kinh; Peter Horby
Journal:  BMC Med       Date:  2009-09-03       Impact factor: 8.775

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