Evidence map›Paper›PMID 38635548›Full record

ArticlePLOS global public health2024

Attitudes towards COVID-19 vaccination: A cross sectional study in the Federal Capital Territory, Nigeria.

Obi Peter Adigwe, Godspower Onavbavba

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Obi Peter AdigweNational Institute for Pharmaceutical Research and Development, Abuja, Nigeria.ORCID https://orcid.org/0000-0001-8832-6459
Godspower OnavbavbaNational Institute for Pharmaceutical Research and Development, Abuja, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccine acceptance is complex and context-specific, varying across time, place and perceived behavioural nature of the community involved. A high vaccine acceptance rate is important to achieve herd immunity, however, vaccine hesitancy is a possible barrier to this. This study aimed to assess attitudes towards COVID-19 vaccination and associated factors. A cross-sectional survey was undertaken to investigate the attitudes of Federal Capital Territory residents towards COVID-19 vaccine uptake in Nigeria. Data were collected using questionnaires which were administered to respondents physically and online through random and snowball sampling strategies respectively. Data received were then analysed using Statistical Package for Social Sciences (SPSS). A total of 1767 responses were received with males representing 57.8% of the sample. More than half (54.9%) of the respondents were between the ages of 18-30 years. A third (35.4%) of the study participants indicated that a vaccine was not necessary for COVID-19, and 56.5% indicated willingness to accept COVID-19 vaccination. The majority of the sample (56.9%) indicated that the government decision-making was in their best interest, whilst close to two-thirds of the respondents (61%) were of the view that COVID-19 vaccination should not be made compulsory. Older respondents as represented by those over 60 years were more likely to accept COVID-19 vaccination (p = 0.039). This study however revealed negative attitudes towards COVID-19 vaccination, indicating the urgent need for government, policymakers, and other stakeholders to prioritise the development of strategies that can appropriately address vaccine hesitancy in the study setting. Contextual interventions indicated include strategic public enlightenment campaigns targeting populations with less favourable dispositions towards being vaccinated.

Identifiers

PMID38635548
PMCPMC11025807

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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.