Evidence map›Paper›PMID 34742594›Full record

ArticleVaccine2022

Would COVID-19 vaccination willingness increase if mobile technologies prohibit unvaccinated individuals from public spaces? A nationwide discrete choice experiment from China.

Jing Wang, Abram L Wagner, Ying Chen, Etienne Jaime, Xinwen Hu, Shiqiang Wu, Yihan Lu, Yuhua Ruan, Stephen W Pan

Abstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Global Systematic Scoping Review of Adolescent Factors Associated With COVID-19 Vaccine Hesitancy.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025
    Article
  6. Which factors drive the choice of the French-speaking Quebec population towards a COVID-19 vaccination programme: A discrete-choice experiment.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  7. Transnational public and global health education in China.Global health research and policy · 2023
    Article
  8. Preferences for Sexually Transmitted Infection and Cancer Vaccines in the United States and in China.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023
    Article
  9. Article
  10. Public views on the Covid-19 immunity certificate: A scoping review.Health expectations : an international journal of public participation in health care and health policy · 2022
    Article
  11. Article
  12. 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

9 authors.

Jing WangDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Abram L WagnerDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Ying ChenDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Etienne JaimeDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Xinwen HuDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Shiqiang WuDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Yihan LuMinistry of Education Key Laboratory of Public Health Safety, Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Yuhua RuanState Key Laboratory of Infectious Disease Prevention and Control (SKLID), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Stephen W PanDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China. Electronic address: stephen.pan@liverpool.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAchieving COVID-19 community protection (aka, herd immunity) in China may be challenging because many individuals remain unsure or are unwilling to be vaccinated. One potential means to increase COVID-19 vaccine uptake is to essentially mandate vaccination by using existing mobile technologies that can prohibit unvaccinated individuals from certain public spaces. The "Health Code" is a ubiquitous mobile phone app in China that regulates freedom of travel based on individuals' predicted risk of exposure to SARS-CoV-2. Green-colored codes indicate ability to travel unrestricted in low-risk regions; yellow-colored codes indicate prohibition from major public spaces and modes of public transportation. We examined the effects of a "Health Code"-based vaccine mandate on willingness to vaccinate for COVID-19 in China.

methodsIn August 2020, an online discrete choice experiment (DCE) was conducted among adults living in China. Participants completed up to six DCE choice sets, each containing two hypothetical COVID-19 vaccination scenario choices and a "do not vaccinate" choice. Half of the choice sets had a "Health Code" attribute that associated the "do not vaccinate" choice with a yellow Health Code implying restricted travel. Weighted, mixed effects multinomial logit regression was used to estimate preference utilities and predicted choice probabilities.

resultsOverall, 873 participants completed 4317 choice sets. Most participants attained at least college-level education (90.9%). 29.8% of participants were identified as vaccine hesitators (defined as being unsure or unwilling to receive a COVID-19 vaccination). With and without the "Health Code"-based vaccine mandate, there was an 8.6% (85% CI: 6.4% - 10.92%) and 17.3% (85% CI:13.1% - 21.6%) respective predicted probability that vaccine hesitators would choose "do not vaccinate" over a common vaccination scenario currently in China (i.e., free, domestic vaccine, 80% effectiveness, 10% probability of fever side-effects, administered in a large hospital, two doses). Corresponding predicted probabilities for people who did not express vaccine hesitancy was 0.3% (93% CI: 0.0% - 14.3%) and 3.5% (93% CI:2.3% - 4.8%). The "Health Code"-based mandate significantly increased willingness to vaccinate when vaccine efficacy was greater than 60%.

conclusionAmong vaccine hesitators with higher educational attainment, willingness to vaccinate for COVID-19 appears to increase if mobile technology-based vaccine mandates prohibit unvaccinated individuals from public spaces and public transportation. However, such mandates may not increase willingness if perceived vaccine efficacy is low.

Indexed as

COVID-19VaccinesAdultChinaCOVID-19 VaccinesHumansSARS-CoV-2TechnologyVaccinationCOVID-19 VaccinesVaccinesAntivaccineAntivaxxDigital technologyPublic healthStated choiceVaccine hesitancy

Identifiers

PMID34742594
PMCPMC8531240

What OpenQuestion holds

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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.