Evidence map›Paper›PMID 40980413›Full record

SynthesisFrontiers in health services2025

Assessing the determinants of uptake and hesitancy in accessing COVID 19 vaccines in Nigeria: a scoping review.

Chikezie Ifeanyi, Emmanuel Okechukwu, Olushola Tosin, Ichoku Hyacinth, John Ele-Ojo Ataguba, Grace Njeri Muriithi, Daniel Malik Achala, Elizabeth Naa Adukwei Adote, Chinyere Ojiugo Mbachu, Senait Alemayehu Beshah and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

14 authors.

Chikezie IfeanyiHealth Systems and Development Research Group, Veritas University Abuja Nigeria, Abuja, ACT, Nigeria.
Emmanuel OkechukwuHealth Systems and Development Research Group, Veritas University Abuja Nigeria, Abuja, ACT, Nigeria.
Olushola TosinHealth Systems and Development Research Group, Veritas University Abuja Nigeria, Abuja, ACT, Nigeria.
Ichoku HyacinthHealth Systems and Development Research Group, Veritas University Abuja Nigeria, Abuja, ACT, Nigeria.
John Ele-Ojo AtagubaAfrican Health Economics and Policy Association (AfHEA), Accra, Ghana.
Grace Njeri MuriithiAfrican Health Economics and Policy Association (AfHEA), Accra, Ghana.
Daniel Malik AchalaAfrican Health Economics and Policy Association (AfHEA), Accra, Ghana.
Elizabeth Naa Adukwei AdoteAfrican Health Economics and Policy Association (AfHEA), Accra, Ghana.
Chinyere Ojiugo MbachuDepartment of Community Medicine, University of Nigeria, Enugu, Nigeria.
Senait Alemayehu BeshahEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Chijioke Osinachi NwosuHealth Economics Unit, University of the Free State, Bloemfontein, South Africa.
John Thato TlhakaneloDepartment of Family Medicine and Public Health, Faculty of Medicine, University of Botswana, Gaborone, Botwana.
James AkaziliSchool of Public Health, C.K Tedam University of Technology and Applied Sciences, Accra, Ghana.
Nyasha MasukaZimbabwe College of Public Health Physicians, Harare, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease (COVID-19) is one of the largest public health threats in recent times, with significant health, economic, and social consequences globally. The WHO reported that over 651 million cases and 6.6 million deaths were attributed to COVID-19 globally. The Nigeria Centre for Disease Control (NCDC) in 2022 revealed that 266,057 cases with 3,155 deaths were reported. All the thirty-six states and the Federal Capital Territory (FCT) of Nigeria were affected, but Lagos and the FCT reported the highest number of cases. However, it is possible that these numbers do not accurately reflect the severity of COVID-19 disease in Nigeria because the country had only tested 5,160,280 people as at 2022, despite a population of around 200 million. Nigeria did not meet its 2021 vaccination target, prompting the need to identify the contextual factors affecting vaccine access and uptake as well as vaccine hesitancy in Nigeria and document the approaches that can be deployed to reduce opposition to vaccination as well as improve advocacy for vaccine equity. This scoping review, conducted using Arksey and O'Malley's framework, aimed to explore the factors influencing COVID-19 vaccine hesitancy and uptake in Nigeria. A comprehensive literature search was conducted across electronic databases, including Google Scholar and PubMed, with studies from Nigeria published in English. The review included 25 studies on vaccine hesitancy, uptake, and willingness to accept COVID-19 vaccination, identifying barriers at the national, community, and individual levels. The results indicated that 90% of the studies showed low vaccine acceptance and uptake, with barriers related to vaccine availability, misinformation, cultural and religious influences, socioeconomic factors, and lack of trust in the health system. Socio-demographic factors such as gender, age, education, and income were identified as key influences. The findings highlight the need for targeted, evidence-based strategies to address vaccine hesitancy, improve vaccine distribution, and engage diverse population groups to enhance vaccination uptake across Nigeria.

Indexed as

acceptanceCOVID-19hesitancyNigeriascoping reviewuptake

Identifiers

PMID40980413
PMCPMC12443694

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.