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

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

Publication date: Sep 12, 2025

Non-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. We 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. We 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. US 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.

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Concepts Keywords
Epidemiological Cost-effective
Pharmaceutical COVID-19
Usd2020 Infectious disease
Viral Interventions
Optimal control
Social distancing

Semantics

Type Source Name
disease MESH COVID-19
disease MESH infections
disease IDO contact tracing
disease MESH Long Covid
pathway REACTOME Reproduction
drug DRUGBANK Coenzyme M
disease IDO infection
disease IDO process
disease MESH uncertainty
disease IDO country
drug DRUGBANK Etoperidone
disease MESH death
disease IDO intervention
drug DRUGBANK Naproxen
disease IDO virulence
disease MESH reinfection
drug DRUGBANK Ranitidine
drug DRUGBANK Potassium
drug DRUGBANK Medium-chain triglycerides
drug DRUGBANK Trestolone
drug DRUGBANK L-Aspartic Acid
drug DRUGBANK Dapsone
disease MESH unemployment
drug DRUGBANK Aspartame
drug DRUGBANK Serine
disease MESH ramps
drug DRUGBANK Ilex paraguariensis leaf
drug DRUGBANK Polyethylene glycol
disease MESH influenza
disease MESH gastroenteritis
disease MESH chickenpox
disease IDO quality
disease MESH infectious diseases
drug DRUGBANK Guanosine
disease MESH viral diseases
disease IDO primary infection
drug DRUGBANK Pearl (hyriopsis cumingii)
disease MESH Causality
disease MESH respiratory infections
drug DRUGBANK Tropicamide
drug DRUGBANK Isoxaflutole
pathway REACTOME Infectious disease
disease IDO infectious disease

Original Article

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