Evidence map›Paper›PMID 37719735›Full record

Observational studyFrontiers in public health2023

Determinants of COVID-19 vaccination worldwide: WORLDCOV, a retrospective observational study.

Alberto Peano, Gianfranco Politano, Maria Michela Gianino

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05471635 (Determinants of COVID-19 Vaccination Worldwide), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT05471635 unknown statusnot on this map

Determinants of COVID-19 Vaccination Worldwide: WORLDCOV, a Retrospective Observational Study

TypeobservationalSponsorAlberto PeanoRan2022 to 2022Enrolled205ConditionsCOVID-19 VaccinesArmsCOVID-19 Vaccine
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Alberto PeanoDepartment of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy.
Gianfranco PolitanoDepartment of Control and Computer Engineering, Polytechnic of Turin, Turin, Italy.
Maria Michela GianinoDepartment of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic has resulted in numerous deaths, great suffering, and significant changes in people's lives worldwide. The introduction of the vaccines was a light in the darkness, but after 18 months, a great disparity in vaccination coverage between countries has been observed. As disparities in vaccination coverage have become a global public health issue, this study aimed to analyze several variables to identify possible determinants of COVID-19 vaccination. Methods: An ecological study was conducted using pooled secondary data sourced from institutional sites. A total of 205 countries and territories worldwide were included. A total of 16 variables from different fields were considered to establish possible determinants of COVID-19 vaccination: sociodemographic, cultural, infrastructural, economic and political variables, and health system performance indicators. The percentage of the population vaccinated with at least one dose and the total doses administered per 100 residents on 15 June 2022 were identified as indicators of vaccine coverage and outcomes. Raw and adjusted values for delivered vaccine doses in the multivariate GLM were determined using R. The tested hypothesis (i.e., variables as determinants of COVID-19 vaccination) was formulated before data collection. The study protocol was registered with the grant number NCT05471635. Results: GDP per capita [odds = 1.401 (1.299-1.511) CI 95%], access to electricity [odds = 1.625 (1.559-1.694) CI 95%], political stability, absence of violence/terrorism [odds = 1.334 (1.284-1.387) CI 95%], and civil liberties [odds = 0.888 (0.863-0.914) CI 95%] were strong determinants of COVID-19 vaccination. Several other variables displayed a statistically significant association with outcomes, although the associations were stronger for total doses administered per 100 residents. There was a substantial overlap between raw outcomes and their adjusted counterparts. Discussion: This pioneering study is the first to analyze the association between several different categories of indicators and COVID-19 vaccination coverage in a wide complex setting, identifying strong determinants of vaccination coverage. Political decision-makers should consider these findings when organizing mass vaccination campaigns in a pandemic context to reduce inequalities between nations and to achieve a common good from a public health perspective.

Indexed as

COVID-19COVID-19 VaccinesHumansPandemicsVaccinationVaccination CoverageCOVID-19 VaccinesCOVID-19 vaccinedeterminants of vaccinationglobal healthhealth policyinternational healthpublic healthvaccination coveragevaccination policy

Identifiers

PMID37719735
PMCPMC10501313

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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.