Molecular epidemiology of human rhinovirus infections in Kilifi, coastal Kenya.
Bottom Line: Most HRV-C clusters were distinct from reference sequences downloaded from GenBank.In contrast, most HRV-A and HRV-B sequences clustered with either known serotypes or strains from elsewhere within Africa and other regions of the world.This first molecular epidemiological study of HRV in the region defines species distribution in accord with reports from elsewhere in the world, shows considerable strain diversity and does not identify an association between any species and disease severity.
Affiliation: KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya. firstname.lastname@example.orgShow MeSH
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Mentions: The distribution of the HRV species and the proportion of samples positive, in the inpatients, over the 3-year period is shown in Figure 1. HRV-A and C co-circulated in most months of surveillance, and while either was rarely absent (e.g., in the months of November 2008–January 2009), the numbers fluctuated considerably on an irregular basis. In contrast, HRV-B occurred only rarely and sporadically throughout the 3 years. Peak admissions of HRV-A and HRV-C cases did not obviously segregate or alternate and were not regularly seasonal. Numbers of HRV-C cases were higher in July 2007, and again in September 2008; while HRV-A cases were higher in July 2007, February and June 2008. There was no clear association between the monthly number of HRV cases and mean relative humidity (r2 = 0.1507, P = 0.380) or daily mean rainfall (r2 = -0.1399, P = 0.416) over the period of this study (Fig. 2).
Affiliation: KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya. email@example.com