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Record W4379911203 · doi:10.1177/00243639231178626

Coronavirus Disease Vaccination Among Persons With Disabilities: Understanding Vaccine Perceptions and Hesitancy in Ghana

2023· article· en· W4379911203 on OpenAlexfundno aff
Maxwell Peprah Opoku, Shashidhar Belbase, Fred Adusei Nsowah, Kwame Yeboah, William Nketsia, Ahmed Mohamed, Elvis Agyei‐Okyere, Michael Amponteng, Reuben Saah, Mohammed Safi

Bibliographic record

VenueThe Linacre Quarterly · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsnot available
FundersKwame Nkrumah University of Science and TechnologyUniversity of Northern British ColumbiaWorld Health Organization
KeywordsVaccinationCLARIONDiseasePopulationMedicineResidenceGerontologyPublic healthPsychologyEnvironmental healthDemographyNursingVirologySociology

Abstract

fetched live from OpenAlex

The effects of coronavirus disease 2019 (COVID-19) have been felt globally and in all spheres of life. Developing vaccines was an important milestone in ensuring the protection of lives, but there are concerns about vaccine availability in sub-Saharan African (SSA) countries. The living conditions of persons with disabilities, in particular, in SSA societies have been described as deplorable and unsustainable, and they are at risk of discrimination. Such persons appear to be already struggling to obtain other basic services, and the extent of vaccine accessibility to this population remains unknown. This study aimed to assess the perceptions of persons with disabilities in Ghana of COVID-19 vaccines. Between July 2021 and December 2021, 336 persons with disabilities (hearing, visual, and physical) were recruited from two regions in Ghana. The attitude toward the COVID-19 vaccination scale was adapted for this study. The results showed that persons with disabilities were ambivalent toward vaccination, and differences were observed between participant groups. The background variables found to influence attitude were age, place of residence, educational qualification, gender, and COVID-19 acquisition status. The study concludes with a clarion call to policymakers to expedite public education for persons with disabilities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.332
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

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