Scientific Reports (Sep 2024)

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

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

DOI
https://doi.org/10.1038/s41598-024-73856-0
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 11

Abstract

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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.

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