ArticlePloS one2024
Upstream factors impacting COVID-19 vaccination rates across Africa: A systematic review protocol.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Article
- A protocol for modeling the factors influencing the deployment of the COVID-19 vaccine across African countries.PloS one · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUpstream factors have been found to affect COVID-19 vaccination rates and coverage globally. However, there are inadequate details within the African context. This systematic review aims to close this research gap by investigating upstream factors influencing COVID-19 vaccination rates in Africa.
methodsA literature search will be systematically conducted utilizing various databases including: MEDLINE, EMBASE, SCOPUS, CINAHL, Web of Science, and PsycINFO. Eligible studies will include peer-reviewed articles published in the English language from 2020-2023, conducted in Africa, focused on upstream factors, and include one barrier or facilitator to COVID-19 vaccination rates. Two reviewers will use a two-step screening process to examine every article's title, abstract, and full text. A third-party reviewer will resolve disagreements between both individual reviewers. This review will focus on extracting data from published studies to explain the upstream factors included and their impact on COVID-19 vaccination rates across Africa. Data and records will be managed using Covidence. Preferred Reporting Items for Systematic Reviews and Meta-Analyses [PRISMA] framework will be used as the basis for reporting. To reduce bias, the researchers will use the Mixed Methods Appraisal Tool to assess the studies chosen for review. Results will be compiled utilizing four tables to summarize articles and group determinants based on the Consolidated Framework for Implementation Research (CFIR). DISCUSSION: Upstream factors have been cited as affecting population health, vaccination programs, and COVID-19, yet a large-scale systematic review has not been conducted to investigate these factors in relation to COVID-19 vaccination disparities faced in Africa. This review aims to analyze the root causes of African vaccination disparities by focusing on upstream factors. Understanding these factors is vital to help explain why these disparities occur and for designing effective interventions for future vaccinations. The results are expected to provide insights for researchers, policymakers, health systems, and individuals by identifying how resources and efforts can be better utilized to improve vaccination uptake and access.
trial registrationSystematic review registration: CRD42024501293.
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Registered trials
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.