Evidence map›Paper›PMID 21599920›Full record

ArticleBMC public health2011

Would school closure for the 2009 H1N1 influenza epidemic have been worth the cost?: a computational simulation of Pennsylvania.

Shawn T Brown, Julie H Y Tai, Rachel R Bailey, Philip C Cooley, William D Wheaton, Margaret A Potter, Ronald E Voorhees, Megan LeJeune, John J Grefenstette, Donald S Burke and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 6 pooled it
8.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 6 syntheses or guidelines pooled it, 114 citations in OpenAlex.

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  15. Mitigating COVID-19 Transmission in Schools With Digital Contact Tracing.IEEE transactions on computational social systems · 2021
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  20. Costs and benefits of interventions aimed at major infectious disease threats: lessons from the literature.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Shawn T BrownGraduate School of Public Health, University of Pittsburgh, PA 15261, USA. stb60@pitt.edu
Julie H Y Tai
Rachel R Bailey
Philip C Cooley
William D Wheaton
Margaret A Potter
Ronald E Voorhees
Megan LeJeune
John J Grefenstette
Donald S Burke
Sarah M McGlone
Bruce Y Lee
University of Pittsburgh · USRTI International · USAllegheny County · USPittsburgh Supercomputing Center · US

Funding

Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VAN PANHUIS, WILLEM GIJSBERT · 2009 to 2018
$16.7M
Decision Making in BiosurveillanceR01LM009132 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WAGNER, MICHAEL MATTHEW · 2008 to 2011
$1.9M
NIGMS NIH HHS 1U54GM088491-0109NLM NIH HHS 5R01LM009132-03OPHPR CDC HHS 1P01TP000304-03
6 · The paper itself

Abstract

backgroundDuring the 2009 H1N1 influenza epidemic, policy makers debated over whether, when, and how long to close schools. While closing schools could have reduced influenza transmission thereby preventing cases, deaths, and health care costs, it may also have incurred substantial costs from increased childcare needs and lost productivity by teachers and other school employees.

methodsA combination of agent-based and Monte Carlo economic simulation modeling was used to determine the cost-benefit of closing schools (vs. not closing schools) for different durations (range: 1 to 8 weeks) and symptomatic case incidence triggers (range: 1 to 30) for the state of Pennsylvania during the 2009 H1N1 epidemic. Different scenarios varied the basic reproductive rate (R(0)) from 1.2, 1.6, to 2.0 and used case-hospitalization and case-fatality rates from the 2009 epidemic. Additional analyses determined the cost per influenza case averted of implementing school closure.

resultsFor all scenarios explored, closing schools resulted in substantially higher net costs than not closing schools. For R(0) = 1.2, 1.6, and 2.0 epidemics, closing schools for 8 weeks would have resulted in median net costs of $21.0 billion (95% Range: $8.0 - $45.3 billion). The median cost per influenza case averted would have been $14,185 ($5,423 - $30,565) for R(0) = 1.2, $25,253 ($9,501 - $53,461) for R(0) = 1.6, and $23,483 ($8,870 - $50,926) for R(0) = 2.0.

conclusionsOur study suggests that closing schools during the 2009 H1N1 epidemic could have resulted in substantial costs to society as the potential costs of lost productivity and childcare could have far outweighed the cost savings in preventing influenza cases.

Indexed as

Influenza A Virus, H1N1 SubtypeAdolescentAdultAgedChildChild, PreschoolDisease OutbreaksHumansInfantInfluenza, HumanMiddle AgedModels, EconometricModels, StatisticalMonte Carlo MethodPennsylvaniaSchools

Identifiers

PMID21599920
PMCPMC3119163
OpenAlexW1994172949

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.