Evidence map›Paper›PMID 32706790›Full record

ArticlePloS one2020

Quantifying early COVID-19 outbreak transmission in South Africa and exploring vaccine efficacy scenarios.

Zindoga Mukandavire, Farai Nyabadza, Noble J Malunguza, Diego F Cuadros, Tinevimbo Shiri, Godfrey Musuka

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 7% 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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
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  19. Examining Type 1 Diabetes Mathematical Models Using Experimental Data.International journal of environmental research and public health · 2022
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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

6 authors at 5 institutions in 4 countries.

Zindoga MukandavireCentre for Data Science, Coventry University, Coventry, United Kingdom.
Farai NyabadzaDepartment of Mathematics and Applied Mathematics, University of Johannesburg, Johannesburg, South Africa.
Noble J MalunguzaDepartment of Insurance and Actuarial Science, National University of Science and Technology, Bulawayo, Zimbabwe.
Diego F CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, United States of America.
Tinevimbo ShiriLiverpool School of Tropical Medicine, Liverpool, England, United Kingdom.
Godfrey MusukaICAP at Columbia University, Harare, Zimbabwe.ORCID 0000-0001-9077-4429
Coventry University · GBLiverpool School of Tropical Medicine · GBNational University of Science and Technology · ZWUniversity of Cincinnati · USUniversity of Johannesburg · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence and fast global spread of COVID-19 has presented one of the greatest public health challenges in modern times with no proven cure or vaccine. Africa is still early in this epidemic, therefore the extent of disease severity is not yet clear. We used a mathematical model to fit to the observed cases of COVID-19 in South Africa to estimate the basic reproductive number and critical vaccination coverage to control the disease for different hypothetical vaccine efficacy scenarios. We also estimated the percentage reduction in effective contacts due to the social distancing measures implemented. Early model estimates show that COVID-19 outbreak in South Africa had a basic reproductive number of 2.95 (95% credible interval [CrI] 2.83-3.33). A vaccine with 70% efficacy had the capacity to contain COVID-19 outbreak but at very higher vaccination coverage 94.44% (95% Crl 92.44-99.92%) with a vaccine of 100% efficacy requiring 66.10% (95% Crl 64.72-69.95%) coverage. Social distancing measures put in place have so far reduced the number of social contacts by 80.31% (95% Crl 79.76-80.85%). These findings suggest that a highly efficacious vaccine would have been required to contain COVID-19 in South Africa. Therefore, the current social distancing measures to reduce contacts will remain key in controlling the infection in the absence of vaccines and other therapeutics.

Indexed as

Models, TheoreticalBasic Reproduction NumberBetacoronavirusCommunicable Disease ControlCoronavirus InfectionsCOVID-19COVID-19 VaccinesHumansPandemicsPneumonia, ViralSARS-CoV-2Social IsolationSouth AfricaVaccination CoverageViral VaccinesCOVID-19 VaccinesViral Vaccines

Identifiers

PMID32706790
PMCPMC7380646
OpenAlexW3041199125

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.