Evidence map›Paper›PMID 39441851›Full record

ArticlePLoS computational biology2024

Modelling the impact of vaccination on COVID-19 in African countries.

Dephney Mathebula, Abigail Amankwah, Kossi Amouzouvi, Kétévi Adiklè Assamagan, Somiealo Azote, Jesutofunmi Ayo Fajemisin, Jean Baptiste Fankam Fankame, Aluwani Guga, Moses Kamwela, Mulape Mutule Kanduza and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Dephney MathebulaDepartment of Decision Sciences, University of South Africa, Pretoria, South Africa.ORCID 0000-0002-9069-0708
Abigail AmankwahDepartment of Mathematics, University of Cape Coast, Cape Coast, Ghana.
Kossi AmouzouviScaDS.AI Dresden/Leipzig, TU Dresden, Dresden, Germany.
Kétévi Adiklè AssamaganBrookhaven National Laboratory, Physics Department, Upton, New York, United States of America.
Somiealo AzoteDepartment of Physics, Syracuse University, Syracuse, New York, United States of America.
Jesutofunmi Ayo FajemisinDepartment of Physics, University of South Florida, Tampa, Florida, United States of America.
Jean Baptiste Fankam FankameMolecular Sciences Institute, University of the Witwatersrand, Johannesburg, South Africa.
Aluwani GugaDepartment of Physics, University of Cape, Cape Town, South Africa.
Moses KamwelaPharmacology Department, Lusaka Apex Medical University, Lusaka, Zambia.
Mulape Mutule KanduzaCancer Diseases Hospital, Lusaka, Zambia.
Toivo Samuel MaboteDepartment of Physics and Electronics, Rhodes University, Grahamstown, South Africa.
Francisco Fenias MacuculeDepartment of Mathematical Sciences, University of South Africa, Florida, South Africa.
Azwinndini MurongaFaculty of Science, Nelson Mandela University, Gqeberha, South Africa.
Ann NjeriSchool of Mathematics, Statistics and Physics, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Michael Olusegun OluwoleDepartment of Physics, University of Ibadan, Oyo, Nigeria.
Cláudio Moisés PauloDepartment of Physics, University Eduardo Mondlane, Maputo, Mozambique.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of vaccines to combat the spread of COVID-19, caused by the SARS-CoV-2 virus, is a great scientific achievement. Before the development of the COVID-19 vaccines, most studies capitalized on the available data that did not include pharmaceutical measures. Such studies focused on the impact of non-pharmaceutical measures such as social distancing, sanitation, use of face masks, and lockdowns to study the spread of COVID-19. In this study, we used the SIDARTHE-V model, an extension of the SIDARTHE model, which includes vaccination rollouts. We studied the impact of vaccination on the severity of the virus, specifically focusing on death rates, in African countries. The SIRDATHE-V model parameters were extracted by simultaneously fitting the COVID-19 cumulative data of deaths, recoveries, active cases, and full vaccinations reported by the governments of Ghana, Kenya, Mozambique, Nigeria, South Africa, Togo, and Zambia. Using South Africa as a case study, our analysis showed that the cumulative death rates declined drastically with the increased extent of vaccination drives. Whilst the infection rates sometimes increased with the arrival of new coronavirus variants, the death rates did not increase as they did before vaccination.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2VaccinationAfricaComputational BiologyHumansCOVID-19 Vaccines

Identifiers

PMID39441851
PMCPMC11498717

What Socratic holds

Textmetadata
LicenceCC0
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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 Socratic graph.