Evidence map›Paper›PMID 37112769›Full record

ArticleVaccines2023

Assessing the Impact of Vaccination on the Dynamics of COVID-19 in Africa: A Mathematical Modeling Study.

Yvette Montcho, Robinah Nalwanga, Paustella Azokpota, Jonas Têlé Doumatè, Bruno Enagnon Lokonon, Valère Kolawole Salako, Martin Wolkewitz, Romain Glèlè Kakaï

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

8 authors at 2 institutions in 2 countries.

Yvette MontchoLaboratoire de Biomathématiques et d'Estimations Forestières, Université d'Abomey-Calavi, Cotonou 04 BP 1525, Benin.ORCID 0009-0004-6502-7965
Robinah NalwangaLaboratoire de Biomathématiques et d'Estimations Forestières, Université d'Abomey-Calavi, Cotonou 04 BP 1525, Benin.
Paustella AzokpotaLaboratoire de Biomathématiques et d'Estimations Forestières, Université d'Abomey-Calavi, Cotonou 04 BP 1525, Benin.ORCID 0009-0006-3225-2626
Jonas Têlé DoumatèLaboratoire de Biomathématiques et d'Estimations Forestières, Université d'Abomey-Calavi, Cotonou 04 BP 1525, Benin.ORCID 0000-0002-8043-2801
Bruno Enagnon LokononLaboratoire de Biomathématiques et d'Estimations Forestières, Université d'Abomey-Calavi, Cotonou 04 BP 1525, Benin.ORCID 0000-0002-0574-8793
Valère Kolawole SalakoLaboratoire de Biomathématiques et d'Estimations Forestières, Université d'Abomey-Calavi, Cotonou 04 BP 1525, Benin.
Martin WolkewitzInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, 79104 Freiburg, Germany.
Romain Glèlè KakaïLaboratoire de Biomathématiques et d'Estimations Forestières, Université d'Abomey-Calavi, Cotonou 04 BP 1525, Benin.ORCID 0000-0002-6965-4331
Université d'Abomey-Calavi · BJUniversity of Freiburg · DE

Funding

Federal Foreign Office, Germany Ref.3.4 BEN-Hub
6 · The paper itself

Abstract

Several effective COVID-19 vaccines are administered to combat the COVID-19 pandemic globally. In most African countries, there is a comparatively limited deployment of vaccination programs. In this work, we develop a mathematical compartmental model to assess the impact of vaccination programs on curtailing the burden of COVID-19 in eight African countries considering SARS-CoV-2 cumulative case data for each country for the third wave of the COVID-19 pandemic. The model stratifies the total population into two subgroups based on individual vaccination status. We use the detection and death rates ratios between vaccinated and unvaccinated individuals to quantify the vaccine's effectiveness in reducing new COVID-19 infections and death, respectively. Additionally, we perform a numerical sensitivity analysis to assess the combined impact of vaccination and reduction in the SARS-CoV-2 transmission due to control measures on the control reproduction number (Rc). Our results reveal that on average, at least 60% of the population in each considered African country should be vaccinated to curtail the pandemic (lower the Rc below one). Moreover, lower values of Rc are possible even when there is a low (10%) or moderate (30%) reduction in the SARS-CoV-2 transmission rate due to NPIs. Combining vaccination programs with various levels of reduction in the transmission rate due to NPI aids in curtailing the pandemic. Additionally, this study shows that vaccination significantly reduces the severity of the disease and death rates despite low efficacy against COVID-19 infections. The African governments need to design vaccination strategies that increase vaccine uptake, such as an incentive-based approach.

Indexed as

Africacompartmental modelCOVID-19reproduction numbervaccination impact

Identifiers

PMID37112769
PMCPMC10144609
OpenAlexW4366183553

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.