Evidence map›Paper›PMID 38584794›Full record

ArticleAdvances in virology2024

Molecular Epidemiology of SARS-CoV-2 within Accra Metropolis Postlockdown.

Frank T Aboagye, Lawrence Annison, Henry Kwadwo Hackman, Maame E Acquah, Yvonne Ashong, Isaac Owusu-Frimpong, Bill C Egyam, Sharon Annison, George Osei-Adjei, Samuel Antwi-Baffour

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advances in virology, 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

10 authors.

Frank T AboagyeDepartment of Medical Laboratory Technology, Faculty of Applied Sciences, Accra Technical University, Accra, Ghana.ORCID https://orcid.org/0000-0002-3881-9789
Lawrence AnnisonDepartment of Medical Laboratory Technology, Faculty of Applied Sciences, Accra Technical University, Accra, Ghana.ORCID https://orcid.org/0000-0002-1485-8580
Henry Kwadwo HackmanDepartment of Medical Laboratory Technology, Faculty of Applied Sciences, Accra Technical University, Accra, Ghana.ORCID https://orcid.org/0000-0003-1330-1622
Maame E AcquahWest African Centre for Cell Biology of Infectious Pathogens, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana.
Yvonne AshongDepartment of Parasitology, Noguchi Memorial Institute of Medical Research, College of Medical Sciences, University of Ghana, Legon, Accra, Ghana.ORCID https://orcid.org/0000-0003-3305-223X
Isaac Owusu-FrimpongBiomedical and Public Health Research Unit, Council for Scientific and Industrial Research-Water Research Institute, Accra, Ghana.
Bill C EgyamDepartment of Molecular Biology, MDS Lancet Laboratories Ghana Limited, East Legon, Accra, Ghana.
Sharon AnnisonDepartment of Epidemiology and Disease Control, School of Public Health, University of Ghana, Legon, Accra, Ghana.
George Osei-AdjeiDepartment of Medical Laboratory Technology, Faculty of Applied Sciences, Accra Technical University, Accra, Ghana.
Samuel Antwi-BaffourDepartment of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Korle-Bu, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Currently, sequencing has been the only tool for the identification of circulating severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants. However, it is known to be an expensive and laborious approach involving high technical expertise. Considering the reduced adherence to preventive measures postlockdown in Accra, this study presents an alternative method that leverages polymerase chain reaction (PCR) to identify circulating SARS-CoV-2 variants in the Accra Metropolis postlockdown. Methods: This prospective cross-sectional study was conducted between July and December 2022. Nasopharyngeal samples were collected from 268 consenting participants. Samples were subjected to nucleic acid extraction and followed by real-time polymerase chain reaction for the detection and quantification of SARS-CoV-2 RNA. SARS-CoV-2 positive samples were subsequently subjected to variant identification using rapid PCR. Conclusion: There was a high prevalence of SARS-CoV-2 within the Accra Metropolis postlockdown within the sampling period. The Alpha variant of SARS-CoV-2 is the predominant circulating variant, and persons presenting with symptoms are most likely to be diagnosed with COVID-19. Children aged ≤10 years serve as a reservoir for infection transmission.

Identifiers

PMID38584794
PMCPMC10997420

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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.