Spatio-temporal distribution of rhinovirus types in Kenya: a retrospective analysis, 2014

The epidemiology and circulation patterns of various rhinovirus types within populations remains under-explored. We generated 803 VP4/VP2 gene sequences from rhinovirus-positive samples collected from acute respiratory illness (ARI) patients, including both in-patient and outpatient cases, between 1st January and 31st December 2014 from eleven surveillance sites across Kenya and used phylogenetics to characterise virus introductions and spread. RVs were detected throughout the year, with the highest detection rates observed from January to March and June to July. We detected a total of 114 of the 169 currently classified types. Our analysis revealed numerous virus introductions into Kenya characterized by local expansion and extinction, and extensive spatial mixing of types within the country due to the widespread transmission of the virus after an introduction. This work demonstrates that in a single year, the circulation of rhinovirus in Kenya was characterized by substantial genetic diversity, multiple introductions, and extensive geographical spread.

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Publication Details

Journal
Scientific Reports
Published
2024-09-27
DOI
https://doi.org/10.1038/s41598-024-73856-0
Citations
2
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.77

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article

Spatio-temporal distribution of rhinovirus types in Kenya: a retrospective analysis, 2014

Charles N. Agoti, Nickson Murunga, Martha M. Luka, Patrick K. Munywoki et al.
2 citations
Scientific Reports
Respiratory viral infections research
0.77
article

Spatio-temporal distribution of rhinovirus types in Kenya: a retrospective analysis, 2014

Charles N. Agoti, Nickson Murunga, Martha M. Luka, Patrick K. Munywoki, Godfrey Bigogo, Clayton Onyango, Clement Lewa, Nancy A. Otieno, Bryan O. Nyawanda, John Mwita Morobe, Everlyn Kamau, D. James Nokes, Martin N. Mutunga
article en
2 citations

Abstract

The epidemiology and circulation patterns of various rhinovirus types within populations remains under-explored. We generated 803 VP4/VP2 gene sequences from rhinovirus-positive samples collected from acute respiratory illness (ARI) patients, including both in-patient and outpatient cases, between 1st January and 31st December 2014 from eleven surveillance sites across Kenya and used phylogenetics to characterise virus introductions and spread. RVs were detected throughout the year, with the highest detection rates observed from January to March and June to July. We detected a total of 114 of the 169 currently classified types. Our analysis revealed numerous virus introductions into Kenya characterized by local expansion and extinction, and extensive spatial mixing of types within the country due to the widespread transmission of the virus after an introduction. This work demonstrates that in a single year, the circulation of rhinovirus in Kenya was characterized by substantial genetic diversity, multiple introductions, and extensive geographical spread.

Scientific ReportsVol. 14(1)
Pwani University (KE), Kenya Medical Research Institute (KE), University of Warwick (GB), University of Oxford (GB), Centers for Disease Control and Prevention (KE)
Wellcome Trust, Centers for Disease Control and Prevention
Openalex Percentile: Top 25%
Respiratory viral infections research
0.77
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