Evidence map›Paper›PMID 32836703›Full record

ArticleGeoJournal2022

Early geography of the coronavirus disease outbreak in Nigeria.

Adeyemi Olusola, Babatunde Olusola, Olumide Onafeso, Felix Ajiola, Samuel Adelabu

Abstract read
In one paragraph

Article in GeoJournal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Adeyemi OlusolaDepartment of Geography, University of the Free State, Bloemfontein, South Africa.ORCID 0000-0003-2295-5214
Babatunde OlusolaDepartment of Virology, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Olumide OnafesoDepartment of Geography, Olabisi Onabanjo University, Ago-Iwoye, Ogun State Nigeria.
Felix AjiolaDepartment of History and Strategic Studies, University of Lagos, Lagos, Nigeria.
Samuel AdelabuDepartment of Geography, University of the Free State, Bloemfontein, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An understanding of the COVID-19 spread is growing around the world, yet little is known of Africa. This paper explores the time-space geographies of COVID-19 infection focusing on Africa and Nigeria especially. We appraise the global-to-local situation of confirmed cases, deaths and recoveries as well as measures engaged in response to the pandemic. Findings reveal that South Africa accounts for 40% of the total confirmed cases in Africa, followed by Egypt (18%), Nigeria (6.8%), Ghana (4.6%) and Algeria (3.6). Our study shows a significant relationship between population density and COVID-19 cases in Nigeria (R

Indexed as

COVID-19Health careNigeriaPopulation densitiesTime–space geographies

Identifiers

PMID32836703
PMCPMC7425795

What OpenQuestion holds

Textmetadata
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.