Variables Influencing Anti-COVID-19 Vaccinations Around the World: an Analysis Conducted on Aggregated Data Sourced From Institutional Databases to Understand Whether and How Different Variables Could Affect the Vaccine Coverage (WORLDCOV: Worldwide Determinants of COVID-19 Vaccination)

NCT05471635 | Unknown

• 1 other identifier: GP0012022
• Study Type: observational
• Target: 205
• Locations: 1 country
• Sites: 1

Brief Summary

Vaccination coverage against COVID-19 differs widely between countries: in order to address this public health issue, this observational study seeks to understand whether there are any determinants/predictors. In order to highlight the presence of determinants and their strength in influencing vaccination coverage, all possible socio-demographic, economic, cultural, infrastructural and political variables considered capable of modifying such coverage were selected and analysed.

Conditions

COVID-19 Vaccines

Outcome Measures

Primary Outcomes (2)

• Vaccination coverage

  Proportion of the population vaccinated with at least one dose

  15th June 2022 for each country, independently from the beginning date of the COVID-19 vaccination campaign

• Total doses administered per 100 residents

  Doses of vaccine administered per 100 population in each country, that is the ratio of administered doses to the population

  15th June 2022 for each country, independently from the beginning date of the COVID-19 vaccination campaign

Study Arms (1)

Countries worldwide

Every country in the world for which vaccination data were available and variables of interest were accessible.

Biological: COVID-19 Vaccine

Interventions

COVID-19 Vaccine BIOLOGICAL

All COVID-19 vaccines approved by national or international regulatory agency, despite the vaccine technology, manufacturer, and regulatory agency that granted marketing authorization.

Countries worldwide

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

All countries worldwide, if not excluded in reason of Exclusion Criteria

You may qualify if:

• All countries (independent or not) in the world

You may not qualify if:

• No data available on vaccination coverage and dose administered population ratio
• Substantial lack of data

Sponsors & Collaborators

• Alberto Peano: lead

Study Sites (1)

University of Turin

Turin, 10126, Italy

RECRUITING

Related Publications (1)

• Peano A, Politano G, Gianino MM. Determinants of COVID-19 vaccination worldwide: WORLDCOV, a retrospective observational study. Front Public Health. 2023 Aug 31;11:1128612. doi: 10.3389/fpubh.2023.1128612. eCollection 2023.

  PMID: 37719735 DERIVED

MeSH Terms

Interventions

COVID-19 Vaccines

Intervention Hierarchy (Ancestors)

Viral Vaccines; Vaccines; Biological Products; Complex Mixtures

Study Officials

• Maria M Gianino, Prof.

  University of Turin, Department of Public Health Sciences and Pediatrics

  STUDY DIRECTOR

• Alberto Peano, Dr.

  Department of Public Health Sciences and Pediatrics, University of Turin

  PRINCIPAL INVESTIGATOR

• Gianfranco Politano, PhD

  Department of Control and Computer Engineering, Polytechnic University of Turin

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Alberto Peano, Dr.

CONTACT

+39 3923983663; alberto.peano@unito.it

Study Design

• Study Type: observational
• Observational Model: ECOLOGIC OR COMMUNITY
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: MD, Resident doctor in Public Health, Department of Public Health Sciences and Pediatrics

Study Record Dates

• First Submitted: July 20, 2022
• First Posted: July 25, 2022
• Study Start: June 20, 2022
• Primary Completion: July 20, 2022
• Study Completion: July 20, 2022
• Last Updated: July 27, 2022

Record last verified: 2022-07

Locations

IT (1)