Evidence map›Paper›PMID 34452017›Full record

ArticleVaccines2021

Predictors of COVID-19 Vaccine Intention among the Saudi Arabian Population: A Cross-Sectional Survey.

Mohammed Noushad, Mohammad Zakaria Nassani, Pradeep Koppolu, Anas B Alsalhani, Abdulaziz Samran, Ali Alqerban, Ghadah Salim Abusalim, Ali Barakat, Mashari Bandar Alshalhoub, Samer Rastam

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

10 authors at 4 institutions in 4 countries.

Mohammed NoushadDepartment of Restorative and Prosthetic Dental Sciences, College of Dentistry, Dar Al Uloom University, Riyadh 13313, Saudi Arabia.
Mohammad Zakaria NassaniDepartment of Restorative and Prosthetic Dental Sciences, College of Dentistry, Dar Al Uloom University, Riyadh 13313, Saudi Arabia.ORCID 0000-0003-0927-895X
Pradeep KoppoluDepartment of Preventive Dental Sciences, College of Dentistry, Dar Al Uloom University, Riyadh 13313, Saudi Arabia.
Anas B AlsalhaniDepartment of Oral Medicine and Diagnostic Sciences, Vision College of Dentistry and Nursing, Vision Colleges, Riyadh 11691, Saudi Arabia.
Abdulaziz SamranDepartment of Restorative and Prosthetic Dental Sciences, College of Dentistry, Dar Al Uloom University, Riyadh 13313, Saudi Arabia.ORCID 0000-0002-2934-4830
Ali AlqerbanDepartment of Preventive Dental Sciences, College of Dentistry, Dar Al Uloom University, Riyadh 13313, Saudi Arabia.
Ghadah Salim AbusalimDepartment of Medical Laboratory Science, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
Ali BarakatDepartment of Restorative and Prosthetic Dental Sciences, College of Dentistry, Dar Al Uloom University, Riyadh 13313, Saudi Arabia.
Mashari Bandar AlshalhoubDepartment of Restorative and Prosthetic Dental Sciences, College of Dentistry, Dar Al Uloom University, Riyadh 13313, Saudi Arabia.
Samer RastamDepartment of Clinical Sciences, Vision College of Medicine, Vision Colleges, Riyadh 11691, Saudi Arabia.ORCID 0000-0002-4004-7773
Dar Al Uloom University · SAPrince Sattam Bin Abdulaziz University · SASion College · GBUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-term solution to managing the current COVID-19 pandemic is through mass immunization of the population. However, uncertainty or unwillingness to receive the vaccine could be a barrier in attaining sufficient vaccine coverage. Therefore, understanding the psychology of the population towards the vaccines against COVID-19 is of paramount importance. Our study was aimed at determining the predictors of COVID-19 vaccine intention in the Saudi Arabian population. A structured questionnaire guided by the 'Report of the SAGE working group on vaccine hesitancy' was administered during a span of two months among the general population from all administrative regions of Saudi Arabia, proceeding the launch of the vaccination campaign. In total, 879 out of 1600 subjects responded and completed the survey (response rate 54.9%). About 56 percent of the participants intended to be vaccinated. The predictors of a higher intention to vaccinate included those 50 years of age or older, male subjects, people suffering from systemic disease/s, subjects who were not previously infected with COVID-19, those who follow the updates about COVID-19 vaccines, and adults with a higher level of anxiety about contracting coronavirus (

Indexed as

COVID-19population immunitySaudi Arabiavaccine intention

Identifiers

PMID34452017
PMCPMC8402383
OpenAlexW3188024135

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.