Species spectrum of nonpolio enteroviruses in KhMAO–Yugra during the prepandemic and pandemic periods

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Abstract

BACKGROUND: The characteristics of the regional features of the etiological structure of nonpolio enterovirus infection before and during the coronavirus disease 2019 (COVID-19) pandemic were evaluated.

AIM: To assess the monitoring of the etiologies of enterovirus infection in the prepandemic and pandemic periods.

MATERIALS AND METHODS: Data from the forms of statistical observation for 2013–2022 and the results of molecular genetic studies of nonpolio EVI were used.

RESULTS: The dynamics of the incidence of enterovirus infection in the Khanty–Mansi Autonomous Okrug before the COVID-19 pandemic was characterized by high activity levels of the epidemic process, exceeding the average for the Russian Federation by 5–6 times. The urban population, with a predominance of children aged <6 years, mainly contributed to the total incidence of enterovirus infection. During the period with the highest incidence rates in 2017 and 2019, Coxsackie A6 viruses in combination with ECHO30, Coxsackie A9 dominated, and during the period of their decline, the proportion of enterovirus A71, Coxsackie A16 increased. During the pandemic, the calculated trends of dynamics for 2022 were confirmed for dominant viruses and enterovirus A71. In the same year, Coxsackie B2 and ECHO6 viruses were increasingly identified, which were previously circulated irregularly and in isolated cases. The prevalence of CV-A6 in the epidemic process was accompanied by clinical manifestations of infection, mainly as enterovirus vesicular stomatitis, with a high frequency of ECHO30, computer cases were recorded in most cases.

CONCLUSION: Based on the results of monitoring the etiological structure of nonpoliomyelitis enterovirus infection in the prepandemic period, a further increase in morbidity in enterovirus infection is predicted in the Khanty–Mansi Autonomous Okrug. Genotyping of the detected strains makes it possible to determine the spectrum of enterovirus strains endemic to the territory and predict their prevalence, which is necessary to prevent the spread of enterovirus infection and ensure sanitary and epidemiological well-being in the region.

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About the authors

Ekaterina A. Danshina

Center for Hygiene and Epidemiology in Khanty-Mansiysk Autonomous Okrug-Yugra; Surgut State University

Email: kotya9530@mail.ru
ORCID iD: 0000-0002-3382-2161
SPIN-code: 7042-3503

MD

Russian Federation, 5/1, Kukuevitskogo St., Surgut, 628415; Surgut

Andrey Yu. Mironov

Moscow Research Institute of Epidemiology and Microbiology named after G.N. Gabrichevsky; Academy of Postgraduate Education of the Federal Scientific and Clinical Center for Specialized Types of Medical Care and Medical Technologies

Email: andy.60@mail.ru
ORCID iD: 0000-0002-8544-5230
SPIN-code: 9225-1560

MD, Dr. Sci. (Med.), Professor

Russian Federation, Moscow; Moscow

Tatyana G. Suranova

Academy of Postgraduate Education of the Federal Scientific and Clinical Center for Specialized Types of Medical Care and Medical Technologies

Email: suranovatatiana@mail.ru
ORCID iD: 0000-0003-3411-1027
SPIN-code: 7326-5273

MD, Cand. Sci. (Med), Associate Professor

Russian Federation, Moscow

Alexandr V. Kuyarov

Surgut State University

Author for correspondence.
Email: kujarov@mail.ru
ORCID iD: 0000-0001-8388-9607
SPIN-code: 4821-0912

MD, Dr. Sci. (Med.), Professor

Russian Federation, 5/1, Kukuevitskogo St., Surgut, 628415

References

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  3. Alimov AV, Rezaikin AV, Usoltseva PS, et al. Molecular epidemiology of non-polio enteroviruses circulating in the Ural Federal District and Western Siberia in 2018. In: Infectious diseases in the modern world: evolution, current and future threats: Proceedings of the XI Annual All-Russian Congress on Infectious Diseases with International Participation; Moscow, April 1–3, 2019. Moscow; 2019. P. 169. (In Russ).
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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. The dynamics of the incidence of EVI in the Russian Federation, Ufa and KhMAO-Yugra from 2013 to September 2022.

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3. Fig. 2. Etiological structure of EVI incidence in KhMAO-Yugra from 2013 to 2021.

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4. Fig. 3. Dynamics of identification of viruses dominating in KhMAO-Yugra: Coxsackie A6, ECHO30, Coxsackie A9 from 2013 to September 2021.

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5. Fig. 4. Dynamics of identification of Coxsackie B2 and ECHO6 NPEV circulating in the pandemic period.

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6. Fig. 5. The structure of clinical forms of EVI in the Ufa and KhMAO-Yugra from 2019 to August 2022.

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