Evidence map›Paper›PMID 40470547›Full record

ArticleJMIR public health and surveillance2025

Preferences for Nonpharmaceutical Interventions During the Endemic Phase of COVID-19: Discrete Choice Experiment.

Yi Wang, Chee Ern Har, Sharon Hui Xuan Tan, Hooi Swang Cheng, Ian Yi Han Ang

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yi WangSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, #09-01D, Tahir Foundation Building, 12 Science Drive 2, Singapore, 117549, Singapore, 65 65164988.ORCID 0000-0003-1934-9926
Chee Ern HarSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, #09-01D, Tahir Foundation Building, 12 Science Drive 2, Singapore, 117549, Singapore, 65 65164988.ORCID 0009-0000-4038-8554
Sharon Hui Xuan TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, #09-01D, Tahir Foundation Building, 12 Science Drive 2, Singapore, 117549, Singapore, 65 65164988.ORCID 0000-0003-4226-0954
Hooi Swang ChengSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, #09-01D, Tahir Foundation Building, 12 Science Drive 2, Singapore, 117549, Singapore, 65 65164988.ORCID 0009-0000-4557-7792
Ian Yi Han AngSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, #09-01D, Tahir Foundation Building, 12 Science Drive 2, Singapore, 117549, Singapore, 65 65164988.ORCID 0000-0003-1124-3764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nonpharmaceutical interventions (NPIs) are effective tools for pandemic containment but often impose significant socioeconomic consequences that intensify over time. Public support and compliance to NPIs are crucial to ensure their effectiveness. objectives: This study aimed to elicit preferences of a Singaporean population for the reintroduction of NPIs in response to the emergence of a new SARS-CoV-2 variant during the COVID-19 endemic phase. Methods: A web-based discrete choice experiment (DCE) was conducted. DCE attributes reflected key NPIs implemented in Singapore during the COVID-19 pandemic from 2020 to 2022, including mask wearing, dining restrictions, suspension of vocalization activities and large-scale events, quarantine after international travel, and mandatory vaccine boosters. Participants were recruited from a demographically representative online panel. Statistical analysis was performed using a mixed-logit model and mixed-mixed multinomial logit model. Results: A total of 1552 participants were included in the analysis. Overall preferences from the mixed-logit model showed that mask wearing was valued, both in public and indoors. Dining restrictions allowing groups of up to 5 people were preferred, but stricter dining restrictions allowing up to 2 people or no dining out were not favored. Prohibiting large-scale events was not preferred. Participants accepted quarantine at home but opposed quarantine in government facilities. Two classes emerged from the mixed-mixed logit model: class 1 ("Prefer NPIs") and class 2 ("Prefer No NPIs"). While class 1 (39%) was only opposed to a complete prohibition on dining in at food and beverage establishments, no NPIs were preferred by class 2 (61%). Both classes were not opposed to mandatory mask wearing, dining restrictions allowing groups of up to 5 people, and mandatory vaccine boosters. Sex, age, education, employment status, the number of COVID-19 vaccine shots received, and risk attitude were associated with individuals' likelihood of belonging to a specific preference group. Conclusions: Following the emergence of a new SARS-CoV-2 variant after a prolonged period of restrictions, less disruptive NPIs such as mask wearing indoors were valued by the public and should be swiftly reinstated. Adaptive strategies should be adopted for more contentious NPIs, such as strict dining restrictions and quarantine policies. Public preferences should be considered in the design and selection of NPIs for future pandemic containment strategies to enhance compliance and effectiveness.

Indexed as

Choice BehaviorCOVID-19AdultAgedFemaleHumansMaleMasksMiddle AgedPandemicsQuarantineSARS-CoV-2SingaporeSurveys and QuestionnairesYoung AdultCOVID-19discrete choice experimentendemicnonpharmaceutical interventionspopulation preferences

Identifiers

PMID40470547
PMCPMC12157962

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.