Evidence map›Paper›PMID 39843823›Full record

ArticleScientific reports2025

From node to network: weaving a global perspective on efficacy and costs of non-pharmaceutical interventions.

Chong Xu, Sameer Kumar, Muer Yang, Nidhi Ghildayal, Charu Chandra

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Chong XuSchool of Engineering, University of St. Thomas, St. Paul, MN, USA.
Sameer KumarDepartment of Operations and Supply Chain Management, Opus College of Business, University of St. Thomas, Minneapolis, MN, USA.
Muer YangDepartment of Operations and Supply Chain Management, Opus College of Business, University of St. Thomas, Minneapolis, MN, USA.
Nidhi GhildayalDepartment of Surgery, NYU Grossman School of Medicine and NYU Langone Health, NY, New York, USA.
Charu ChandraInformation and Operations Management Department, University of Michigan - Dearborn, Dearborn, MI, USA. charu@umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-pharmaceutical intervention (NPI) policies, ranging from mild measures to total isolation, were implemented worldwide during the COVID-19 pandemic. We adopt a systematic approach to guide policymakers in deploying NPI policies to mitigate the pandemic's effects while balancing their social and economic impacts. Our results show that each NPI has an optimal duration, beyond which its effectiveness plateaus. Stricter policies require longer durations, and when sustained for the optimal period, earlier implementation is more effective. However, when this duration is unattainable, timing becomes critical, as both early and late implementation reduce efficacy. Stringent policies with insufficient durations may perform worse than less restrictive measures applied over the same period, and an NPI policy aimed at minimizing overall healthcare burden under a fixed policy duration may significantly intensify peak-time strains. Finally, as the virus becomes more transmissible and less lethal, the effectiveness gap between stringent and less restrictive policies narrows, with targeted interventions for vulnerable groups outperforming universal strict measures.

Indexed as

COVID-19Global HealthHealth PolicyHumansPandemicsQuarantineSARS-CoV-2

Identifiers

PMID39843823
PMCPMC11754695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.