Evidence map›Paper›PMID 34882726›Full record

ArticlePloS one2021

COVID-19 vaccine hesitancy among the adult population in Bangladesh: A nationwide cross-sectional survey.

Mohammad Bellal Hossain, Md Zakiul Alam, Md Syful Islam, Shafayat Sultan, Md Mahir Faysal, Sharmin Rima, Md Anwer Hossain, Abdullah Al Mamun

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 4 pooled it
11.1field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 4 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Pooled it
  2. Implications for COVID-19 vaccine uptake: A systematic review.Journal of infection and public health · 2023
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  14. Vaccination and Therapeutics.Advances in experimental medicine and biology · 2024
    Review
  15. COVID-19 vaccination up-take in three districts of Nepal.Human vaccines & immunotherapeutics · 2023
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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

8 authors at 2 institutions in 1 country.

Mohammad Bellal HossainDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.ORCID 0000-0003-4615-5086
Md Zakiul AlamDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.ORCID 0000-0003-0958-0147
Md Syful IslamDepartment of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh.ORCID 0000-0001-9710-2377
Shafayat SultanDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.
Md Mahir FaysalDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.ORCID 0000-0001-6074-5889
Sharmin RimaOvibashi Karmi Unnayan Program (OKUP), Dhaka, Bangladesh.
Md Anwer HossainDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.ORCID 0000-0002-8728-5250
Abdullah Al MamunDepartment of Population Sciences, University of Dhaka, Dhaka, Bangladesh.
University of Dhaka · BDJatiya Kabi Kazi Nazrul Islam University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStudies related to the COVID-19 vaccine hesitancy are scanty in Bangladesh, despite the growing necessity of understanding the population behavior related to vaccination. Thus, the present study was conducted to assess the prevalence of the COVID-19 vaccine hesitancy and its associated factors in Bangladesh to fill the knowledge gap. METHODS AND MATERIALS: This study adopted a cross-sectional design to collect data from 1497 respondents using online (Google forms) and face-to-face interviews from eight administrative divisions of Bangladesh between 1-7 February 2021. We employed descriptive statistics and multiple logistic regression analysis.

resultsThe prevalence of vaccine hesitancy was 46.2%. The Muslims (aOR = 1.80, p ≤ 0.01) and the respondents living in the city corporation areas (aOR = 2.14, p ≤0.001) had more hesitancy. There was significant variation in vaccine hesitancy by administrative divisions (geographic regions). Compared to the Sylhet division, the participants from Khulna (aOR = 1.31, p ≤0.001) had higher hesitancy. The vaccine hesitancy tended to decrease with increasing knowledge about the vaccine (aOR = 0.88, p≤0.001) and the vaccination process (aOR = 0.91, p ≤ 0.01). On the other hand, hesitancy increased with the increased negative attitudes towards the vaccine (aOR = 1.17, p≤0.001) and conspiracy beliefs towards the COVID-19 vaccine (aOR = 1.04, p≤0.01). The perceived benefits of COVID-19 vaccination (aOR = 0.85, p≤0.001) were negatively associated with hesitancy, while perceived barriers (aOR = 1.16, p ≤0.001) were positively associated. The participants were more hesitant to accept the vaccine from a specific country of origin (India, USA, Europe).

conclusionsOur findings warrant that a vigorous behavior change communication campaign should be designed and implemented to demystify negative public attitudes and conspiracy beliefs regarding the COVID-19 Vaccine in Bangladesh. The policymakers should also think about revisiting the policy of the online registration process to receive the COVID-19 vaccine, as online registration is a key structural barrier for many due to the persistent digital divide in the country. Finally, the government should consider the population's preference regarding vaccines' country of manufacture to reduce the COVID-19 vaccine hesitancy.

Indexed as

AdolescentAdultBangladeshCOVID-19COVID-19 VaccinesCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansLogistic ModelsMaleMiddle AgedOdds RatioSARS-CoV-2Surveys and QuestionnairesVaccination HesitancyCOVID-19 Vaccines

Identifiers

PMID34882726
PMCPMC8659424
OpenAlexW4200022905

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.