Evidence map›Paper›PMID 40859741›Full record

ArticleHuman vaccines & immunotherapeutics2025

A cross-sectional study of the predictors of COVID-19 vaccine hesitancy in Pakistan.

Saeed Ahmad, Muhammad Rizwan Safdar, Mufti Nadimul Quamar Ahmed

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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.

Saeed AhmadDepartment of Sociology, Anthropology and Criminal Justice, Utah State University, Logan, UT, USA.ORCID 0000-0001-6896-2722
Muhammad Rizwan SafdarInstitute of Social and Cultural Studies, University of the Punjab, Lahore, Pakistan.
Mufti Nadimul Quamar AhmedDepartment of Sociology, Anthropology and Criminal Justice, Utah State University, Logan, UT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccine hesitancy, where individuals are reluctant to get vaccinated, is a significant issue, especially in the event of a pandemic, and poses a major concern. We explore a few predictors of vaccine hesitancy in Pakistan using a cross-sectional study. For this purpose, 562 respondents registered their responses through an online questionnaire from March 31, 2021, to May 28, 2021, during the third wave of the COVID-19 pandemic. Cronbach's Alpha was used for Internal Consistency Reliability, while Factor Analysis was used for Construct Validity. We applied bivariate linear regression analysis for hypothesis testing. Fear of COVID-19 was higher among respondents as they suffered nervousness, fear of morbidity and mortality, and uncomfortable thinking about COVID-19. In vaccine hesitancy, two-fifths were unsure about, and concerned about the effectiveness of vaccines for new diseases, and the potential for serious side effects. More than half were exposed to negative information about COVID-19 vaccinations. One-third agreed that natural immunity against COVID-19 was a better option than vaccination. More than half perceived that vaccines could protect people from serious COVID-19 diseases and effectively control the spread of the virus, but they were unsure about new vaccines carrying more risks. Bivariate linear regression analysis revealed that younger age, lower knowledge about COVID-19, not quarantining due to COVID-19 symptoms, lower perceived effectiveness of vaccines in reducing the risk of COVID-19, previous negative experiences with vaccination, lower fear of COVID-19, and lower level of trust in health institutions were associated with higher vaccine hesitancy in Pakistan. We recommend further studies that should expand the sociocultural base of predictors of COVID-19 vaccine hesitancy by employing a mixed-methods research approach.

Indexed as

COVID-19COVID-19 VaccinesVaccinationVaccination HesitancyAdolescentAdultAgedCross-Sectional StudiesFearFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPakistanSARS-CoV-2COVID-19 VaccinesCOVID-19fear of COVID-19previous experiencesocio-demographicsVaccine hesitancy

Identifiers

PMID40859741
PMCPMC12392798

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LicenceCC BY-NC
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Registered trials

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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.