Evidence map›Paper›PMID 35013727›Full record

ArticleVaccine: X2022

Explaining the intention to uptake COVID-19 vaccination using the behavioral and social drivers of vaccination (BeSD) model.

Subburaj Alagarsamy, Sangeeta Mehrolia, Ushanandini Pushparaj, S Jeevananda

Abstract read
In one paragraph

Article in Vaccine: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  3. Mpox awareness and vaccination willingness among a household cohort in Matlab, Bangladesh.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2025
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Subburaj AlagarsamyManipal Academy of Higher Education, Dubai Campus, UAE.
Sangeeta MehroliaSchool of Business and Management, Christ University, Bangalore, India.
Ushanandini PushparajDepartment of Anaesthesiology, St. John's Medical College Hospital, Bangalore, India.
S JeevanandaSchool of Business and Management, Christ University, Bangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization (WHO) has proposed a tool to measure behavioral and social drivers (BeSD) of vaccination uptake intentions of people across all countries. This study tests BeSD model to predict people's intentions to uptake COVID-19 vaccination in rural India.

methodsAn online cross-sectional survey was developed for the purpose based on the components of the BeSD model, i.e., confidence, motivation, and behavioral intention. A convenient sampling technique was used to collect samples, amounting to a total of 625, from rural Bengaluru, in the Karnataka state of India. Structural equation modelling (SEM) was applied to examine the proposed model. All respondents for the survey were in the age category of 18-68 years with a mean age of 35 years.

findingsThe results showed that 85% of COVID-19 vaccine uptake intentions can directly or indirectly be attributed to the government's vaccine communication strategy, perceived threats about the vaccine, and their trust in the healthcare sector. The dimensions of the vaccine acceptance scale (motivation factors) act as a mediator between these factors and COVID-19 vaccination uptake (the behavioral factor).

conclusionThe study demonstrates that the BeSD framework is an efficient model for predicting the COVID-19 vaccination uptake in India.

Indexed as

BeSDCOVID-19Trust in the healthcareVaccination uptakeVaccine acceptance scaleVaccine communication strategy

Identifiers

PMID35013727
PMCPMC8730788

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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.