Literature DB >> 25878302

Modeling the effect of school closures in a pandemic scenario: exploring two different contact matrices.

Isaac Chun-Hai Fung1, Manoj Gambhir2, John W Glasser3, Hongjiang Gao3, Michael L Washington4, Amra Uzicanin3, Martin I Meltzer4.   

Abstract

BACKGROUND: School closures may delay the epidemic peak of the next influenza pandemic, but whether school closure can delay the peak until pandemic vaccine is ready to be deployed is uncertain.
METHODS: To study the effect of school closures on the timing of epidemic peaks, we built a deterministic susceptible-infected-recovered model of influenza transmission. We stratified the U.S. population into 4 age groups (0-4, 5-19, 20-64, and ≥ 65 years), and used contact matrices to model the average number of potentially disease transmitting, nonphysical contacts.
RESULTS: For every week of school closure at day 5 of introduction and a 30% clinical attack rate scenario, epidemic peak would be delayed by approximately 5 days. For a 15% clinical attack rate scenario, 1 week closure would delay the peak by 9 days. Closing schools for less than 84 days (12 weeks) would not, however, reduce the estimated total number of cases.
CONCLUSIONS: Unless vaccine is available early, school closure alone may not be able to delay the peak until vaccine is ready to be deployed. Conversely, if vaccination begins quickly, school closure may be helpful in providing the time to vaccinate school-aged children before the pandemic peaks. Published by Oxford University Press on behalf of the Infectious Diseases Society of America 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Entities:  

Keywords:  influenza; mathematical model; social distancing

Mesh:

Year:  2015        PMID: 25878302     DOI: 10.1093/cid/civ086

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  4 in total

Review 1.  Measures implemented in the school setting to contain the COVID-19 pandemic

Authors:  Shari Krishnaratne; Hannah Littlecott; Kerstin Sell; Jacob Burns; Julia E Rabe; Jan M Stratil; Tim Litwin; Clemens Kreutz; Michaela Coenen; Karin Geffert; Anna Helen Boger; Ani Movsisyan; Suzie Kratzer; Carmen Klinger; Katharina Wabnitz; Brigitte Strahwald; Ben Verboom; Eva Rehfuess; Renke L Biallas; Caroline Jung-Sievers; Stephan Voss; Lisa M Pfadenhauer
Journal:  Cochrane Database Syst Rev       Date:  2022-01-17

2.  Pandemic Risk Assessment Model (PRAM): a mathematical modeling approach to pandemic influenza planning.

Authors:  D C Dover; E M Kirwin; N Hernandez-Ceron; K A Nelson
Journal:  Epidemiol Infect       Date:  2016-08-22       Impact factor: 4.434

3.  School dismissal as a pandemic influenza response: When, where and for how long?

Authors:  Timothy C Germann; Hongjiang Gao; Manoj Gambhir; Andrew Plummer; Matthew Biggerstaff; Carrie Reed; Amra Uzicanin
Journal:  Epidemics       Date:  2019-06-12       Impact factor: 4.396

4.  The Relationship Between School Holidays and Transmission of Influenza in England and Wales.

Authors:  Charlotte Jackson; Emilia Vynnycky; Punam Mangtani
Journal:  Am J Epidemiol       Date:  2016-10-15       Impact factor: 4.897

  4 in total

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