Fung ICH, Gambhir M, Glasser JW, Gao H, Washington ML, Uzicanin A, Meltzer MI. Modeling the effect of school closures in a pandemic scenario: exploring two different contact matrices.
Clin Infect Dis 2015;
60 Suppl 1:S58-63. [PMID:
25878302 DOI:
10.1093/cid/civ086]
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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.
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