Evidence map›Paper›PMID 34189332›Full record

ArticleHeliyon2021

Acceptance of COVID-19 vaccine and its determinants: evidence from a large sample study in Bangladesh.

Miah Md Akiful Haque, Mohammad Lutfor Rahman, Mosharop Hossian, Kazi Farhana Matin, Mohammad Hayatun Nabi, Shuvajit Saha, Mehedi Hasan, Ridwana Maher Manna, Sabrina Yesmin Barsha, S M Rezwanul Hasan and 6 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  17. Status of COVID-19 vaccination around South Asia.Human vaccines & immunotherapeutics · 2022
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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

16 authors at 4 institutions in 1 country.

Miah Md Akiful HaqueDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Mohammad Lutfor RahmanInstitute of Statistical Research and Training (ISRT), University of Dhaka, Dhaka 1000, Bangladesh.
Mosharop HossianDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Kazi Farhana MatinDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Mohammad Hayatun NabiDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Shuvajit SahaProjahnmo Research Foundation, Dhaka 1213, Bangladesh.
Mehedi HasanDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Ridwana Maher MannaDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Sabrina Yesmin BarshaIbn Sina Medical College Hospital, Kallyanpur, Dhaka 1216, Bangladesh.
S M Rezwanul HasanDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Saleka Raihana SiddiqueaDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Mahfil Ara RahmanCentre for Injury Prevention & Research Bangladesh, Mohakhali, Dhaka 1206, Bangladesh.
Md Abdullah Saeed KhanDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Md Utba RashidDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Mohammad Ali HossainDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
Mohammad Delwer Hossain HawladerDepartment of Public Health, North South University, Dhaka 1229, Bangladesh.
North South University · BDUniversity of Dhaka · BDBiomedical Research Foundation · BDDhaka Medical College and Hospital · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimOur study aimed to understand the acceptance level of the COVID-19 vaccine and its determinants among the adult Bangladeshi population. METHODOLOGY: This cross-sectional study was conducted in all eight divisions of Bangladesh. Data from 7,357 adult respondents were collected between January 17 and February 2, 2021, using a self-administered semi-structured questionnaire. Statistical software STATA (Version 16.1) was used for all analyses.

resultsThe majority of study participants were from the Dhaka division (34.24%). The most common age group was ≤30 years (46.18%). Almost two-thirds of respondents were male (65.50%) and married (67.76%). A large portion (79.85%) of people who had positive vaccine intentions believed that vaccination should be made mandatory for everyone. The majority of the respondents thought that the vaccine would work against COVID-19 infection (67%). In the binary logistic regression analysis, participants who had the education level of graduation or above (AOR = 1.80), age ≥50 years (AOR = 1.97), students (AOR = 2.98), monthly income ≥41,000 BDT (AOR = 2.22), being resident of rural area (AOR = 2.24), respondents from Khulna division (AOR = 6.43) were more likely to receive a COVID-19 vaccine. Those who had family members diagnosed with COVID-19 (AOR = 1.24), presence of chronic disease (AOR = 0.72), and those who were vaccinated in the last few years (AOR = 1.32) were also more likely to accept the COVID-19 vaccine.

conclusionMost of the respondents were willing to be vaccinated based on the belief that the vaccine will work against COVID-19. As rumors are generating daily, there is a need for policy-level initiative and evidence-based mass media promotion to keep inspired the general Bangladeshi people to accept the COVID-19 vaccine whenever it will be available at the individual level.

Indexed as

AcceptanceBangladeshCOVID-19HesitancyVaccine

Identifiers

PMID34189332
PMCPMC8223020
OpenAlexW3174270304

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.