Features of developing SARS-CoV-2 nucleocapsid protein population-based seroprevalence during the first wave of the COVID-19 epidemic in the Russian Federation

Author:

Popova A. Yu.1ORCID,Andreeva E. E.2,Babura E. A.3ORCID,Balakhonov S. V.4ORCID,Bashketova N. S.5,Bulanov M. V.6,Valeullina N. N.7,Goryaev D. V.8,Detkovskaya N. N.9,Ezhlova E. B.1,Zaitseva N. N.10ORCID,Istorik O. A.11,Kovalchuk I. V.12,Kozlovskikh D. N.13,Kombarova S. V.14ORCID,Kurganova O. P.15ORCID,Kutyrev V. V.16ORCID,Lomovtsev A. E.17ORCID,Lukicheva L. A.18,Lyalina L. V.19ORCID,Melnikova A. A.1ORCID,Mikailova O. M.20,Noskov A. K.21ORCID,Noskova L. N.22,Oglezneva E. E.23,Osmolovskay T. P.24ORCID,Patyashina M. A.25ORCID,Penkovskaya N. A.26,Samoilova L. V.27,Smirnov V. S.19ORCID,Stepanova T. F.28ORCID,Trotsenko O. E.29ORCID,Totolyan Areg A.19ORCID

Affiliation:

1. Federal Service for Surveillance of Consumer Rights Protection and Human Wellbeing

2. Rospotrebnadzor Office for Moscow

3. Rospotrebnadzor Office for Kaliningrad Region

4. Irkutsk Research Anti-Plague Institute

5. Rospotrebnadzor Office for St. Petersburg

6. Center for Hygiene and Epidemiology in the Vladimir Region

7. Rospotrebnadzor Office for Chelyabinsk Region

8. Rospotrebnadzor Office for Krasnoyarsk Krai

9. Rospotrebnadzor Office Primorsky Krai

10. Research Institute named after I.N. Blokhina

11. Rospotrebnadzor Office for Leningrad Region

12. Rospotrebnadzor Office for Stavropol Krai

13. Rospotrebnadzor Office for Sverdlovsk Region

14. Moscow Research Institute of Epidemiology and Microbiology named after G.N. Gabrichevsky

15. Rospotrebnadzor Office for Amur Region

16. Russian Research Anti-Plague Institute “Microbe”

17. Rospotrebnadzor Office for Tula Region

18. Rospotrebnadzor Office for Murmansk Region

19. St. Petersburg Pasteur Institute

20. Rospotrebnadzor Office for Moscow Region

21. Rostov-on-Don Anti-Plague Institute

22. Rospotrebnadzor Office for Astrakhan Region

23. Rospotrebnadzor Office for Belgorod Region

24. Rospotrebnadzor Office for Krasnodar Krai

25. Rospotrebnadzor Office for the Republic of Tatarstan

26. Rospotrebnadzor Office for the Republic of Crimea

27. Rospotrebnadzor Office for Novosibirsk Region

28. Tyumen Research Institute of Regional Infectious Pathology

29. Khabarovsk Research Institute of Epidemiology and Microbiology

Abstract

The novel coronavirus (SARS-CoV-2) pandemic, dubbed COVID-19, has become one of the most serious challenges for human populations in the vast majority of countries worldwide. Rapid spreading and increased mortality related to it required new approaches to manage epidemic processes on a global scale. One of such approaches was based on analyzing SARS-CoV-2 seroprevalence associated with COVID-19. Our aim was to summarize the results on assessing seroprevalence to the SARS-CoV-2 nucleocapsid antigen (Nc) in residents from 26 regions of the Russian Federation, carried out during the first wave of the COVID-19 epidemic.Materials and methods. Seroprevalence distribution was examined in 26 model regions of the Russian Federation according to the unified method developed by the Rospotrebnadzor with the participation of the Federal State Institution Saint Petersburg Pasteur Research Institute of Epidemiology and Microbiology. Such approach implied formation of a group of volunteer subjects in model geographic region who were tested by ELISA for anti-Nc serum antibody level in peripheral blood. Analyzed primary data obtained in separate regions were either accepted for publication or released.Results. The current paper finalizes the data obtained in all 26 regions of the Russian Federation. The total SARS-CoV-2 seroprevalence was 19.5 (10.0–25.6)% with the maximum and minimum value found in the Kaliningrad Region and the Republic of Crimea, respectively (50.2% vs. 4.3%). A pattern of age-related seroprevalence distribution indicates insignificant predominance of seroprevalence among subjects of 1–17 years old: 22.1 (13.1–31.8)%. Among COVID-19 convalescents positive for SARS-CoV Nc antibodies it reached 60.0 (40.0–73.3)%. The number of contact persons comprised 6285 subjects or 8.5% of total volunteer cohort, with the level of seroprevalence reaching up to 25.3 (17.95–35.8)%. A direct correlation was revealed between levels of seroprevalence in convalescent and contact volunteers. In addition, the reproductive number for SARS-CoV was calculated comprising 5.8 (4.3–8.5) suggesting that one convalescent subject can infect at least 4 healthy individuals. A high level of asymptomatic forms of COVID-19 among seropositive subjects was confirmed empirically comprising up to 93.6 (87.1–94.9)%.Conclusion. A single cross-sectional study performed during 2020 June–August timeframe allowed to assess pattern of sex- and agerelated COVID-19 seroprevalence for general population in 26 Russian Federation regions. The data obtained may serve as a basis for the longitudinal cohort investigation with serial subject sampling. The timing and duration of study will be determined by dynamics of ongoing COVID-19 epidemic.

Publisher

SPb RAACI

Subject

Infectious Diseases,Immunology,Immunology and Allergy

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