State-of-the-art molecular genetic techniques in surveillance over intensity of enterovirus infection epidemic process in some constituent entities of the Siberian Federal District of the Russian Federation

Background. Enterovirus infection is widely spread around the world. It has different epidemiologic and clinical manifestations. However, to date, the amount of accumulated information on the epidemic process of enterovirus infection in different constituent entities of the Siberian Federal district of the Russian Federation is insufficient. Objectives. Our objectives were to investigate characteristics of the enterovirus infection epidemic process in Siberian constituent entities subjected to surveillance using the innovative molecular genetic analysis. Materials and methods. The analysis of long-term enterovirus infection incidence in the investigated constituent entities of Siberia was performed. The total number of 237 enterovirus strains circulating during 2017-2018 epidemic seasons in the analyzed regions were isolated using sequencing technique. A phylogenetic analysis of the obtained nucleotide sequences was performed. Results. The epidemiologic situation related to enterovirus infection was unfavorable in the majority of the Siberian constituent entities in the past two years. A significant increase in incidence rates was registered in the Irkutsk Region, Zabaykalsky Krai and Altai Republic. We distinguished major manifestations of the enterovirus infection epidemic process including a years-long excess of the national average and a rising trend in the annual incidence rate, prevalence of herpangina, exanthema and enterovirus meningitis in the clinical course of the disease among children aged 3–6. Prevalence of Coxsackievirus A-6 and Coxsackievirus A-9 in the landscape of circulation was revealed in a number of Siberian regions. Group incidence and imported cases were also registered. Discussion. Our results demonstrated the importance of molecular genetic monitoring of circulating enteroviruses as part of the epidemiologic surveillance. This state-of-the-art approach can reveal potential epidemiologic links between cases of the disease.

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