Evidence map›Paper›PMID 35184925›Full record

ArticleVaccine2022

Unmet need for COVID-19 vaccination coverage in Kenya.

Samuel K Muchiri, Rose Muthee, Hellen Kiarie, Joseph Sitienei, Ambrose Agweyu, Peter M Atkinson, C Edson Utazi, Andrew J Tatem, Victor A Alegana

Abstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Kenyans' Perceptions of the Risks of COVID-19 Vaccines: A Scoping Review.Pan-African journal of health and environmental science · 2024
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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

9 authors.

Samuel K MuchiriPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya. Electronic address: SMuchiri@kemri-wellcome.org.
Rose MutheeDepartment of Health Informatics, Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya.
Hellen KiarieDepartment of Health Informatics, Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya.
Joseph SitieneiDepartment of Health Informatics, Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya.
Ambrose AgweyuEpidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme Nairobi, Kenya.
Peter M AtkinsonLancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK; Geography and Environmental Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK; Institute of Geographic Sciences and Natural Resource Research, Chinese Academy of Sciences, Beijing 100101, China.
C Edson UtaziWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK; Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK.
Andrew J TatemWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Victor A AleganaPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya; Geography and Environmental Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK.

Funding

Wellcome Trust 203077Wellcome Trust 211208Wellcome Trust 211208/Z/18/Z
6 · The paper itself

Abstract

COVID-19 has impacted the health and livelihoods of billions of people since it emerged in 2019. Vaccination for COVID-19 is a critical intervention that is being rolled out globally to end the pandemic. Understanding the spatial inequalities in vaccination coverage and access to vaccination centres is important for planning this intervention nationally. Here, COVID-19 vaccination data, representing the number of people given at least one dose of vaccine, a list of the approved vaccination sites, population data and ancillary GIS data were used to assess vaccination coverage, using Kenya as an example. Firstly, physical access was modelled using travel time to estimate the proportion of population within 1 hour of a vaccination site. Secondly, a Bayesian conditional autoregressive (CAR) model was used to estimate the COVID-19 vaccination coverage and the same framework used to forecast coverage rates for the first quarter of 2022. Nationally, the average travel time to a designated COVID-19 vaccination site (n = 622) was 75.5 min (Range: 62.9 - 94.5 min) and over 87% of the population >18 years reside within 1 hour to a vaccination site. The COVID-19 vaccination coverage in December 2021 was 16.70% (95% CI: 16.66 - 16.74) - 4.4 million people and was forecasted to be 30.75% (95% CI: 25.04 - 36.96) - 8.1 million people by the end of March 2022. Approximately 21 million adults were still unvaccinated in December 2021 and, in the absence of accelerated vaccine uptake, over 17.2 million adults may not be vaccinated by end March 2022 nationally. Our results highlight geographic inequalities at sub-national level and are important in targeting and improving vaccination coverage in hard-to-reach populations. Similar mapping efforts could help other countries identify and increase vaccination coverage for such populations.

Indexed as

COVID-19COVID-19 VaccinesAdultBayes TheoremHumansKenyaVaccinationVaccination CoverageCOVID-19 VaccinesBayesian conditional autoregressiveCOVID-19Spatial inequalitiesVaccination coverage

Identifiers

PMID35184925
PMCPMC8841160

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.