Evidence map›Paper›PMID 36177416›Full record

ArticleJournal of education and health promotion2022

COVID-19 vaccine hesitancy among Nigerian youths: Case study of students in Southwestern Nigeria.

David B Olawade, Ojima Z Wada, Aderonke Odetayo, Oluwabusayomi O Akeju, Fiyinfoluwa T Asaolu, Grace O Owojori

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Article in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

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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

6 authors.

David B OlawadeCenter for Population and Reproductive Health, University of Ibadan, Oyo State, Nigeria.
Ojima Z WadaDivision of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Aderonke OdetayoSchool of Public Health, The University of Hong Kong, Hong Kong, SAR, Hong Kong.
Oluwabusayomi O AkejuDepartment of Health Promotion and Education, University of Ibadan, Oyo State, Nigeria.
Fiyinfoluwa T AsaoluDepartment of Biomedical Science, De Montfort University, United Kingdom.
Grace O OwojoriCenter for Population and Reproductive Health, University of Ibadan, Oyo State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimVaccination has been appraised to be one of the most significant public health achievements in human history. However, in countries like Nigeria, vaccine hesitancy is a public health challenge that has consistently forestalled concerted efforts made by health authorities to curb the spread of communicable diseases such as COVID-19. To improve COVID-19 vaccine acceptance via targeted interventions, it is imperative to examine the public's perception. Thus, this study aims to evaluate vaccine hesitancy among university students in Southwestern Nigeria. MATERIALS AND

methodsThe study utilized a descriptive cross-sectional design. A self-administered questionnaire was administered to a total of 366 respondents who were recruited using the convenience sampling technique and snowball approach. Data were entered and analyzed using SPSS.

resultsThe majority of the respondents were over 18 years (88%) and were between their first and third years (81%). Over a tenth of the respondents reported having at least a loved one that had tested positive for the virus, while only 88% believed the virus is real. Furthermore, only 17% of the students had a positive attitude toward the vaccine. Although 90% of the respondents were aware of the administration of COVID-19 vaccine in Nigeria, only around a quarter were willing to take the vaccine, while 5.5% had been vaccinated. The major reasons for COVID-19 vaccine hesitancy highlighted by the respondents were concerns about vaccine side effects (21.3%), lack of trust in the authorities (26.5%), vaccine efficacy (13.1%), and diverse mystical possibilities (39.1%).

conclusionThe results indicate that a significant communication gap exists between the respondents and local health authorities. To enhance the acceptance of COVID-19 vaccines, extensive and targeted health promotion campaigns are required to allay specific concerns raised by the public.

Indexed as

COVID-19Nigeriastudentsvaccine hesitancyvaccines

Identifiers

PMID36177416
PMCPMC9514270

What OpenQuestion holds

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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.