Evidence map›Paper›PMID 34880507›Full record

ArticleApplied geography (Sevenoaks, England)2022

Spatial variability of COVID-19 and its risk factors in Nigeria: A spatial regression method.

Taye Bayode, Ayobami Popoola, Olawale Akogun, Alexander Siegmund, Hangwelani Magidimisha-Chipungu, Olusiyi Ipingbemi

Abstract read
In one paragraph

Article in Applied geography (Sevenoaks, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Taye BayodeHeidelberg Centre for Environment (HCE) & Institute of Geography, Heidelberg University, Germany.
Ayobami PopoolaSARChI Chair for Inclusive Cities, University of KwaZulu-Natal, South Africa.
Olawale AkogunDepartment of Urban and Regional Planning, University of Ibadan, Oyo State, Nigeria.
Alexander SiegmundHeidelberg Centre for Environment (HCE) & Institute of Geography, Heidelberg University, Germany.
Hangwelani Magidimisha-ChipunguSARChI Chair for Inclusive Cities, University of KwaZulu-Natal, South Africa.
Olusiyi IpingbemiDepartment of Urban and Regional Planning, University of Ibadan, Oyo State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel and unprecedented Coronavirus disease (COVID-19) pandemic has negatively impacted most nations of the world within a short period. While its disproportionate social and spatial variability has been established, the reality in Nigeria is yet to be studied. In this paper, advanced spatial statistical techniques were engaged to study the burden of COVID-19 and its risk factors within the first quarter (March-May) of its incidence in Nigeria. The spatial autocorrelation (Moran's I) test reveals a significant but marginal cluster of COVID-19 occurrence in Nigeria (

Indexed as

COVID-19Crude rateNigeriaSpatial dependenceSpatial planningSpatial statistics

Identifiers

PMID34880507
PMCPMC8639413

What OpenQuestion holds

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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.