Evidence map›Paper›PMID 38939751›Full record

ArticleFrontiers in global women's health2024

Sex and COVID-19 vaccination uptake and intention in the Democratic Republic of Congo, Nigeria, Senegal, and Uganda.

Rawlance Ndejjo, Nuole Chen, Steven N Kabwama, Eniola A Bamgboye, Marc Bosonkie, Oumar Bassoum, Suzanne N Kiwanuka, Mobolaji M Salawu, Landry Egbende, Ndeye Mareme Sougou and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in global women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

20 authors.

Rawlance Ndejjo *Department of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Nuole Chen *Department of Political Science, Massachusetts Institute of Technology, Cambridge, MA, United States.
Steven N KabwamaDepartment of Community Health and Behavioral Sciences, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Eniola A BamgboyeDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Marc BosonkieDepartment of Nutrition, Kinshasa School of Public Health, School of Medicine, Kinshasa, Democratic Republic of Congo.
Oumar BassoumDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Pharmacy and Odontology, Cheikh Anta Diop, University, Dakar, Senegal.
Suzanne N KiwanukaDepartment of Health Policy, Planning and Management, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Mobolaji M SalawuDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Landry EgbendeDepartment of Nutrition, Kinshasa School of Public Health, School of Medicine, Kinshasa, Democratic Republic of Congo.
Ndeye Mareme SougouDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Pharmacy and Odontology, Cheikh Anta Diop, University, Dakar, Senegal.
Rotimi F AfolabiDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Mamadou Makhtar Mbacké LeyeDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Pharmacy and Odontology, Cheikh Anta Diop, University, Dakar, Senegal.
Segun BelloDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Ayo S AdebowaleDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Magbagbeola D DairoDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Ibrahima SeckDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Pharmacy and Odontology, Cheikh Anta Diop, University, Dakar, Senegal.
Olufunmilayo I FawoleDepartment of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Mala Ali MapatanoDepartment of Nutrition, Kinshasa School of Public Health, School of Medicine, Kinshasa, Democratic Republic of Congo.
Lily L TsaiDepartment of Political Science, Massachusetts Institute of Technology, Cambridge, MA, United States.
Rhoda K WanyenzeDepartment of Disease Control and Environmental Health, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of vaccines marked a game changer in the fight against COVID-19. In sub-Saharan Africa, studies have documented the intention to vaccinate and the uptake of COVID-19 vaccines. However, little is documented about how sex differences could have impacted COVID-19 vaccination. We conducted a multi-country cross-sectional study to assess the sex differences in COVID-19 vaccine uptake and intention to vaccinate in the Democratic Republic of Congo (DRC), Nigeria, Senegal, and Uganda. This study involved analysis of data from mobile surveys conducted between March and June 2022 among nationally constituted samples of adults in each country. Bivariate and multivariable logistic regression models were run. The self-reported uptake of COVID-19 vaccines was not significantly different between males and females (

Indexed as

AfricaCOVID-19sextrustvaccinationvaccines

Identifiers

PMID38939751
PMCPMC11210425

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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.