Evidence map›Paper›PMID 41559256›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2026

Assessing the costs and benefits of non-pharmaceutical pandemic measures using the economic values of social contacts.

Mortaza Baky Haskuee, Ali Asgary, Zachary McCarthy, Sperydon Koumarianos, Callista Wu, Ali Parsa, Andrew Fallone, Jianhong Wu

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Mortaza Baky HaskueeLaboratory for Industrial and Applied Mathematics (LIAM), York University, 8 Chimney stack Rd, Toronto, M3J 3K1, ON, Canada.ORCID https://orcid.org/0000-0003-3496-9795
Ali AsgaryDepartment of Administrative Studies, York University, 4700 Keele St., Toronto, M3J 1P3, ON, Canada. asgary@yorku.ca.
Zachary McCarthyLaboratory for Industrial and Applied Mathematics (LIAM), York University, 8 Chimney stack Rd, Toronto, M3J 3K1, ON, Canada.
Sperydon KoumarianosLaboratory for Industrial and Applied Mathematics (LIAM), York University, 8 Chimney stack Rd, Toronto, M3J 3K1, ON, Canada.
Callista WuLaboratory for Industrial and Applied Mathematics (LIAM), York University, 8 Chimney stack Rd, Toronto, M3J 3K1, ON, Canada.
Ali ParsaLaboratory for Industrial and Applied Mathematics (LIAM), York University, 8 Chimney stack Rd, Toronto, M3J 3K1, ON, Canada.
Andrew FalloneLaboratory for Industrial and Applied Mathematics (LIAM), York University, 8 Chimney stack Rd, Toronto, M3J 3K1, ON, Canada.
Jianhong WuLaboratory for Industrial and Applied Mathematics (LIAM), York University, 8 Chimney stack Rd, Toronto, M3J 3K1, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We develop and calibrate a two-layer macroeconomic model of a pandemic to examine the macroeconomic costs and benefits of COVID-19 public health interventions. By integrating policies into a stratified epidemic compartmental model (Susceptible-Infected-Recovered, or SIR), we analyze the impact of non-pharmaceutical interventions (NPIs) on disease transmission. We then apply a dynamic stochastic general equilibrium (DSGE) model to simulate the effects of containment policy shocks on consumption, labor supply, and production, and their implications for macroeconomic variables. The model is calibrated and simulated for the province of Ontario, Canada. Our findings highlight the significant reduction in infections due to NPIs, quantify the negative economic consequences of policy shocks, and acknowledge that labor market flexibility and business adaptations played a key role in mitigating these adverse effects. This study provides a qualitative framework for evaluating the delicate balance between public health and economic considerations in policymaking during a public health emergency.

Indexed as

COVID-19PandemicsCost-Benefit AnalysisHealth PolicyHumansModels, EconomicOntarioPublic HealthSARS-CoV-2Containment policiesCOVID-19 pandemicDSGE modelingNon-pharmaceutical interventionsSIR models

Identifiers

What OpenQuestion holds

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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.