Evidence map›Paper›PMID 40936091›Full record

ArticleBMC global and public health2025

Optimal pandemic control strategies and cost-effectiveness of COVID-19 non-pharmaceutical interventions in the United States.

Nicholas J Irons, Adrian E Raftery

Erratum issuedAbstract read
In one paragraph

Article in BMC global and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Nicholas J IronsDepartment of Statistics, Leverhulme Centre for Demographic Science, and Pandemic Sciences Institute, University of Oxford, Oxford, UK. nicholasjonirons@gmail.com.
Adrian E RafteryDepartments of Statistics and Sociology, University of Washington, Seattle, USA.

Funding

Statistical Methods for Population ProjectionsR01HD070936 · NICHD · UNIVERSITY OF WASHINGTON · PI RAFTERY, ADRIAN E · 2012 to 2021
$3.3M
T32 Data Science and Demography Training BSSRT32HD101442 · NICHD · UNIVERSITY OF WASHINGTON · PI Zack W Almquist, SARA R. CURRAN · 2020 to 2026
$2.0M
Leverhulme Trust RC-2018-003National Institute of Child Health and Human Development T32 HD101442-01NICHD NIH HHS R01 HD070936NICHD NIH HHS T32 HD101442
6 · The paper itself

Abstract

backgroundNon-pharmaceutical interventions (NPIs) in response to the COVID-19 pandemic necessitated a trade-off between the health impacts of viral spread and the social and economic costs of restrictions. Navigating this trade-off proved consequential, contentious, and challenging for decision-makers.

methodsWe conduct a cost-effectiveness analysis of NPIs enacted at the state level in the United States (US) in 2020. We combine data on COVID-19 cases, deaths, policies, and the social, economic, and health consequences of infections and interventions within an epidemiological model. We estimate SARS-CoV-2 prevalence, transmission rates, effects of interventions, and costs associated to infections and NPIs in each US state. We use these estimates to quantitatively evaluate the efficacy and gross impacts of the policy schedules implemented during the pandemic. We also derive optimal cost-effective strategies that minimize aggregate costs to society.

resultsWe find that NPIs were effective in substantially reducing SARS-CoV-2 transmission, averting 860,000 (95% CI: 560,000-1,190,000) COVID-19 deaths in the US in 2020. Although school closures reduced transmission, their social impact in terms of student learning loss was too costly, depriving the nation of $2 trillion in 2020 US dollars (USD2020), conservatively, in future Gross Domestic Product (GDP). Moreover, this marginal trade-off between school closure and COVID-19 deaths was not inescapable: a combination of other measures would have been enough to maintain similar or lower mortality rates without incurring such profound learning loss. Optimal policies involve consistent implementation of mask mandates, public test availability, contact tracing, social distancing orders, and reactive workplace closures, with no closure of schools. Their use would have reduced the gross impact of the pandemic in the US in 2020 from $4.6 trillion to $1.9 trillion and, with high probability, saved over 100,000 lives.

conclusionsUS COVID-19 school closure was not cost-effective, but other measures were. While our study focuses on COVID-19 in the US prior to vaccines, our methodological contributions and findings about the cost-effectiveness and optimal structure of NPI policies have implications for the response to future epidemics and in other countries. Our results also highlight the need to address the substantial global learning deficit incurred during the pandemic.

Indexed as

Cost-effectiveCOVID-19Infectious diseaseInterventionsOptimal controlSocial distancing

Identifiers

PMID40936091
PMCPMC12427114

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.