Evidence map›Paper›PMID 35602128›Full record

ArticleFrontiers in public health2022

Testing the Club Convergence Dynamics of the COVID-19 Vaccination Rates Across the OECD Countries.

Weibin Xu, Chi Keung Marco Lau, Dongna Zhang, Oladoke Oke

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

4 authors.

Weibin XuZhejiang Yuexiu University of Foreign Languages, Shaoxing, China.
Chi Keung Marco LauDepartment of Economics and Finance, Hang Seng University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Dongna ZhangTeesside University Business School, Middlesbrough, United Kingdom.
Oladoke OkeHuddersfield Business School, University of Huddersfield, Huddersfield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccines are essential to create a more resilient economic growth model. Ending the COVID-19 pandemic requires a more coordinated, effective, and equitable distribution of vaccines across the countries. Therefore, governments are in a race to increase the vaccination rates of the population. Given this backdrop, this paper focuses on the daily vaccinations per million data from March 1, 2021, to October 15, 2021, in 37 Organization for Economic Co-operation and Development (OECD) countries and examines the stochastic properties of the vaccination rates. We adopt the club convergence econometric methodology to investigate the club convergence paths of COVID-19 vaccination rates in OECD regions. The results indicate a significant convergence of the vaccination rates in seven clubs across 30 OECD countries. Moreover, there are seven OECD countries demonstrate non-convergent characteristics, which raises questions about ineffective vaccine balance. In addition, the paper also discusses the potential implications for the post-COVID-19 era.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesHumansOrganisation for Economic Co-Operation and DevelopmentPandemicsVaccinationCOVID-19 VaccinesVaccinescluster convergence analysisCOVID-19 pandemicdistribution of vaccineseconomic growth modelOECD countriesvaccination rates

Identifiers

PMID35602128
PMCPMC9120545

What OpenQuestion holds

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LicenceCC BY
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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.