TY - JOUR
T1 - Rhinovirus dynamics across different social structures
AU - Luka, Martha M.
AU - Otieno, James R.
AU - Kamau, Everlyn
AU - Morobe, John Mwita
AU - Murunga, Nickson
AU - Adema, Irene
AU - Nyiro, Joyce Uchi
AU - Macharia, Peter M.
AU - Bigogo, Godfrey
AU - Otieno, Nancy A.
AU - Nyawanda, Bryan O.
AU - Rabaa, Maia A.
AU - Emukule, Gideon O.
AU - Onyango, Clayton
AU - Munywoki, Patrick K.
AU - Agoti, Charles N.
AU - Nokes, D. James
PY - 2023
Y1 - 2023
N2 - Rhinoviruses (RV), common human respiratory viruses, exhibit significant antigenic diversity, yet their dynamics across distinct social structures remain poorly understood. Our study delves into RV dynamics within Kenya by analysing VP4/2 sequences across four different social structures: households, a public primary school, outpatient clinics in the Kilifi Health and Demographics Surveillance System (HDSS), and countrywide hospital admissions and outpatients. The study revealed the greatest diversity of RV infections at the countrywide level (114 types), followed by the Kilifi HDSS (78 types), the school (47 types), and households (40 types), cumulatively representing >90% of all known RV types. Notably, RV diversity correlated directly with the size of the population under observation, and several RV type variants occasionally fuelled RV infection waves. Our findings highlight the critical role of social structures in shaping RV dynamics, information that can be leveraged to enhance public health strategies. Future research should incorporate whole-genome analysis to understand fine-scale evolution across various social structures.
AB - Rhinoviruses (RV), common human respiratory viruses, exhibit significant antigenic diversity, yet their dynamics across distinct social structures remain poorly understood. Our study delves into RV dynamics within Kenya by analysing VP4/2 sequences across four different social structures: households, a public primary school, outpatient clinics in the Kilifi Health and Demographics Surveillance System (HDSS), and countrywide hospital admissions and outpatients. The study revealed the greatest diversity of RV infections at the countrywide level (114 types), followed by the Kilifi HDSS (78 types), the school (47 types), and households (40 types), cumulatively representing >90% of all known RV types. Notably, RV diversity correlated directly with the size of the population under observation, and several RV type variants occasionally fuelled RV infection waves. Our findings highlight the critical role of social structures in shaping RV dynamics, information that can be leveraged to enhance public health strategies. Future research should incorporate whole-genome analysis to understand fine-scale evolution across various social structures.
U2 - 10.1038/s44298-023-00008-y
DO - 10.1038/s44298-023-00008-y
M3 - A2: International peer reviewed article (not A1-type)
SN - 2948-1767
VL - 1
JO - npj Viruses
JF - npj Viruses
M1 - 6
ER -