ArticleHeliyon2023
Factors associated with COVID-19 vaccine uptake among foreign migrants in China.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- The pursuit of equity in COVID-19 policy and policymaking: A qualitative systematic review.Open research Europe · 2025Pooled it
- Vaccine Hesitancy among Immigrants: A Narrative Review of Challenges, Opportunities, and Lessons Learned.Vaccines · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/Purpose: The COVID-19 outbreak created unique policy challenges for vaccinating special groups like migrants. As part of sustainable development goals, the equitable distribution of the COVID-19 vaccine can contribute to ensuring health for all. This study examined COVID-19 vaccine uptake among foreign migrants in China based on sociodemographics, cultural beliefs, past vaccine behaviors, and psychosocial factors. Design: An online cross-sectional survey was conducted among foreign migrants in mainland China via social media platforms from 21 November through 20 December 2021. Bivariate (unadjusted odd-ratio) and multivariate logistic regression analyses were performed to establish the correlates of COVID-19 vaccine uptake. Result: Surveyed foreign migrants that are culture neutral (AOR: 2.5, CI: 95%, 1.02-5.90, p = 0.044), willing to pay for vaccination (AOR: 2.27, CI: 95%, 1.18-3.98, p = 0.012), believe in vaccine efficacy (AOR: 3.00, CI: 95%, 1.75-5.16, p < 0.000), have poor psychological health (AOR: 1.96, CI: 95%, 1.14-3.38, p = 0 0.014), and have higher perceived seriousness of COVID-19 (AOR: 2.12, CI: 95%, 1.26-3.57, p = 0.005) are more likely to receive COVID-19 vaccine. Those migrants with a history of declining vaccination (AOR: 0.34, CI: 95%, 0.18-0.65, p = 0.000) and middle-income earners $1701-3500 (AOR: 0.43, CI: 95%, 0.23-0.82, p = 0.010) are less likely to receive the COVID-19 vaccine. Conclusion: This study brings a unique perspective to understanding vaccine behavior among international migrants in China. There is an urgent call from the World Health Organization and countries for complete vaccination and efforts to improve vaccine coverage. However, fewer studies have been conducted globally on the vaccination of migrant populations. The current study provides empirical information to increase the knowledge of the correlates of vaccine behavior among immigrants in countries around the globe. Future studies should conduct cross-country comparisons to understand the factors associated with increasing vaccination rates among immigrant populations to formulate a strong policy to increase vaccine coverage among immigrant populations across countries.
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What OpenQuestion holds
Registered trials
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.