Evidence map›Paper›PMID 37124776›Full record

ArticleFrontiers in public health2023

District-level analysis of socio-demographic factors and COVID-19 infections in Greater Accra and Ashanti regions, Ghana.

Alex Barimah Owusu, Gerald Albert Baeribameng Yiran, Seth K Afagbedzi, Edwin Takyi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 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
0.7field-weighted citation impact, top 38% 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, 3 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Alex Barimah OwusuRemote Sensing and GIS Applications Laboratory, Department of Geography and Resource Development, University of Ghana, Legon, Ghana.
Gerald Albert Baeribameng YiranRemote Sensing and GIS Applications Laboratory, Department of Geography and Resource Development, University of Ghana, Legon, Ghana.
Seth K AfagbedziDepartment of Biostatistics, School of Public Health, University of Ghana, Legon, Ghana.
Edwin TakyiRemote Sensing and GIS Applications Laboratory, Department of Geography and Resource Development, University of Ghana, Legon, Ghana.
University of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since December 2019 when COVID-19 was detected, it took the world by surprise in terms of spread and morbidity/mortality. The high rate of spread and casualties recorded from COVID-19 called for research in all directions to find ways to contain and reverse the incidences. It is against this background that this paper sought to measure the association of the socio-demographic factors in the hard-hit districts in Greater Accra and Ashanti to analyze its relationship with the novel COVID-19 virus. Data on COVID-19 cases from 35 Districts in both Greater Accra and Ashanti Regions were collected from the Ghana Health Service and population data from Ghana Statistical Service. Descriptive statistics and regression analysis were generated using R. We found that some socio-demographic variables have an association with COVID-19 infections. For example, age and religion especially Christianity and Islam pose risk to COVID-19. The population aged 15-64 was particularly at high risk of infections due to the high level of movement of this age group. We, therefore, recommend that places of congregation such as Churches and Mosques be targeted for vigorous sensitization on COVID-19 protocols and prevention. Also, districts with a high population between the ages of 15-64 should step sensitization efforts to educate their inhabitants on the need to reduce travel and related activities to curb the spread of the virus.

Indexed as

COVID-19AdolescentAdultDemographyGhanaHumansMiddle AgedReligionTravelYoung AdultCOVID-19 infectionsethnicitygreaterreligionsocio-demographic factors

Identifiers

PMID37124776
PMCPMC10133534
OpenAlexW4365514485

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.