Literature DB >> 17445311

Analyses of the 1957 (Asian) influenza pandemic in the United Kingdom and the impact of school closures.

E Vynnycky1, W J Edmunds.   

Abstract

Many countries plan to close schools during a future influenza pandemic, although the potential impact is poorly understood. We apply a model of the transmission dynamics of pandemic influenza to consultation, serological and clinical data from the United Kingdom from the 1957 (Asian) influenza pandemic, to estimate the basic reproduction number (R0), the proportion of infected individuals who experience clinical symptoms and the impact of school/nursery closures. The R0 for Asian influenza was about 1.8 and 60-65% of infected individuals were estimated to have experienced clinical symptoms. During a future pandemic, closure of schools/nurseries could reduce the epidemic size only by a very small amount (<10%) if R0 is high (e.g. 2.5 or 3.5), and modest reductions, e.g. 22% might be possible if it is low (1.8) and schools are closed early, depending on assumptions about contact patterns. Further data on contact patterns and their dependence on school closures are needed.

Mesh:

Year:  2007        PMID: 17445311      PMCID: PMC2870798          DOI: 10.1017/S0950268807008369

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  22 in total

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Journal:  Br Med J       Date:  1958-11-29

2.  Serological studies with Asian strain of influenza A.

Authors:  S K CLARKE; R B HEATH; R N SUTTON; C H STUART-HARRIS
Journal:  Lancet       Date:  1958-04-19       Impact factor: 79.321

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Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

4.  The period of transmission in certain epidemic diseases; an observational method for its discovery.

Authors:  R E H SIMPSON
Journal:  Lancet       Date:  1948-11-13       Impact factor: 79.321

5.  Hong Kong influenza: the epidemiologic features of a high school family study analyzed and compared with a similar study during the 1957 Asian influenza epidemic.

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Journal:  Am J Epidemiol       Date:  1970-10       Impact factor: 4.897

6.  Oral oseltamivir treatment of influenza in children.

Authors:  R J Whitley; F G Hayden; K S Reisinger; N Young; R Dutkowski; D Ipe; R G Mills; P Ward
Journal:  Pediatr Infect Dis J       Date:  2001-02       Impact factor: 2.129

7.  Patterns of shedding of myxoviruses and paramyxoviruses in children.

Authors:  A L Frank; L H Taber; C R Wells; J M Wells; W P Glezen; A Paredes
Journal:  J Infect Dis       Date:  1981-11       Impact factor: 5.226

8.  Potential impact of antiviral drug use during influenza pandemic.

Authors:  Raymond Gani; Helen Hughes; Douglas Fleming; Thomas Griffin; Jolyon Medlock; Steve Leach
Journal:  Emerg Infect Dis       Date:  2005-09       Impact factor: 6.883

9.  Transmissibility of 1918 pandemic influenza.

Authors:  Christina E Mills; James M Robins; Marc Lipsitch
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

10.  Strategies for mitigating an influenza pandemic.

Authors:  Neil M Ferguson; Derek A T Cummings; Christophe Fraser; James C Cajka; Philip C Cooley; Donald S Burke
Journal:  Nature       Date:  2006-04-26       Impact factor: 49.962

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  57 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

Review 2.  The use of mathematical models to inform influenza pandemic preparedness and response.

Authors:  Joseph T Wu; Benjamin J Cowling
Journal:  Exp Biol Med (Maywood)       Date:  2011-07-04

3.  Modelling emerging viral epidemics for public health protection.

Authors:  Steve Leach; Ian Hall
Journal:  Methods Mol Biol       Date:  2011

4.  Real-time epidemic monitoring and forecasting of H1N1-2009 using influenza-like illness from general practice and family doctor clinics in Singapore.

Authors:  Jimmy Boon Som Ong; Mark I-Cheng Chen; Alex R Cook; Huey Chyi Lee; Vernon J Lee; Raymond Tzer Pin Lin; Paul Ananth Tambyah; Lee Gan Goh
Journal:  PLoS One       Date:  2010-04-14       Impact factor: 3.240

5.  Behavioural responses to influenza pandemics: what do we know?

Authors:  Marta Balinska; Caterina Rizzo
Journal:  PLoS Curr       Date:  2009-09-09

6.  Evaluation of targeted influenza vaccination strategies via population modeling.

Authors:  John Glasser; Denis Taneri; Zhilan Feng; Jen-Hsiang Chuang; Peet Tüll; William Thompson; Mary Mason McCauley; James Alexander
Journal:  PLoS One       Date:  2010-09-17       Impact factor: 3.240

7.  Cost-effectiveness of pharmaceutical-based pandemic influenza mitigation strategies.

Authors:  Anthony T Newall; James G Wood; Noemie Oudin; C Raina MacIntyre
Journal:  Emerg Infect Dis       Date:  2010-02       Impact factor: 6.883

8.  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

9.  Household responses to school closure resulting from outbreak of influenza B, North Carolina.

Authors:  April J Johnson; Zack S Moore; Paul J Edelson; Lynda Kinnane; Megan Davies; David K Shay; Amanda Balish; Meg McCarron; Lenee Blanton; Lyn Finelli; Francisco Averhoff; Joseph Bresee; Jeffrey Engel; Anthony Fiore
Journal:  Emerg Infect Dis       Date:  2008-07       Impact factor: 6.883

Review 10.  Modeling influenza epidemics and pandemics: insights into the future of swine flu (H1N1).

Authors:  Brian J Coburn; Bradley G Wagner; Sally Blower
Journal:  BMC Med       Date:  2009-06-22       Impact factor: 8.775

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