Evidence map›Paper›PMID 41535569›Full record

ArticleScientific reports2026

Genetic diversity and transmission dynamics of SARS-CoV-2 in East Africa.

Patricia Nabisubi, Stephen Kanyerezi, Herbert Agasi, Shahiid Kiyaga, Eva Akurut, Grace Kebirungi, Gerald Mboowa, Daudi Jjingo, Ronald Galiwango

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Patricia NabisubiThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.
Stephen KanyereziThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.
Herbert AgasiThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.
Shahiid KiyagaThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.
Eva AkurutThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.
Grace KebirungiThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.
Gerald MboowaThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.
Daudi JjingoThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.
Ronald GaliwangoThe African Centre of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda. rgaliwango@idi.co.ug.ORCID http://orcid.org/0000-0002-5962-151X

Funding

eLwazi Open Science Data Platform for AfricaU2CEB032224 · NIBIB · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA, SKELTON, MICHELLE · 2021 to 2025
$11.2M
NIBIB NIH HHS U2C EB032224
6 · The paper itself

Abstract

COVID-19 is a respiratory disease caused by the SARS-CoV-2 virus, which put the entire world on hold for two years from 2020 to March 2022 before the rapid roll-out of vaccines. This virus claimed many lives, 6,331,727 deaths globally, and 172,390 people in Africa died from the disease, while Uganda lost 3,620 people in the same period. The study aimed to analyse the spread patterns of SARS-CoV-2 in Uganda and neighbouring countries and understand the community transmission within Uganda. The study utilised genomic sequences from the Global Initiative on Sharing Avian Influenza Data (GISAID) repository. Bayesian Phylogeography methods were used via the BEAST software. The first case of COVID-19 in Uganda likely originated from Kenya. The virus spread from Kenya to other East African countries. Cross-border movements, especially by truck drivers and refugees, played a significant role in the spread. The study highlights the importance of cross-border collaborations to control infectious disease spread. The spread pattern was influenced by trade routes and the movement of people, emphasising the need for robust border control measures during pandemics. Understanding the origin and spread of SARS-CoV-2 can inform better public health strategies and preparedness for future pandemics.

Indexed as

COVID-19Genetic VariationSARS-CoV-2Africa, EasternAnimalsBayes TheoremGenome, ViralHumansKenyaPandemicsPhylogenyPhylogeographyUgandaEast africaGenetic diversityPhylogeographySARS-CoV-2Transmission patterns

Identifiers

PMID41535569
PMCPMC12881543

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.