HERD IMMUNITY TO SARS-CoV-2 AMONG THE POPULATION OF THE REPUBLIC OF BELARUS AMID THE COVID-19 PANDEMIC

被引：5

作者：

Popova, A. Yu ^{[1
]}

Tarasenko, A. A. ^{[2
]}

Smolensky, V. Yu ^{[1
]}

Egorova, S. A. ^{[3
]}

Smirnov, V. S. ^{[3
]}

Dashkevich, A. M. ^{[4
]}

Svetogor, T. N. ^{[4
]}

Glinskaya, I. N. ^{[4
]}

Skuranovich, A. L. ^{[4
]}

Milichkina, A. M. ^{[3
]}

Dronina, A. M. ^{[5
]}

Samoilovich, E. O. ^{[5
]}

Khamitova, I., V ^{[3
]}

Semeiko, G., V ^{[5
]}

Amvrosyeva, T., V ^{[5
]}

Shmeleva, N. P. ^{[5
]}

Rubanik, L., V ^{[5
]}

Esmanchik, O. P. ^{[6
]}

Karaban, I. A. ^{[2
]}

Drobyshevskaya, V. G. ^{[3
]}

Sadovnikova, G., V ^{[7
]}

Shilovich, M., V ^{[7
]}

Podushkina, E. A. ^{[7
]}

Kireichuk, V. V. ^{[8
]}

Petrova, O. A. ^{[3
]}

Bondarenko, S., V ^{[9
]}

Salazhkova, I. F. ^{[9
]}

Tkach, L. M. ^{[10
]}

Shepelevich, L. P. ^{[11
]}

Autukhova, N. L. ^{[12
]}

Ivanov, V. M. ^{[3
]}

Babilo, A. S. ^{[12
]}

Navyshnaya, M., V ^{[12
]}

Belyaev, N. N. ^{[3
]}

Zueva, E., V ^{[3
]}

Volosar, L. A. ^{[11
]}

Verbov, V. N. ^{[3
]}

Likhachev, I., V ^{[3
]}

Zagorskaya, T. O. ^{[12
]}

Morozova, N. F. ^{[13
]}

Korobova, Z. R. ^{[3
]}

Gubanova, A., V ^{[3
]}

Totolian, Areg A. ^{[3
]}

机构：

[1] Fed Serv Surveillance Consumer Rights Protect & H, Moscow, Russia

[2] Minist Hlth, Minsk, BELARUS

[3] St Petersburg Pasteur Inst, Mira Str 14, St Petersburg 197101, Russia

[4] Republican Ctr Hyg Epidemiol & Publ Hlth, Minsk, BELARUS

[5] Republican Sci & Pract Ctr Epidemiol & Microbiol, Minsk, BELARUS

[6] Polyclin 39, Minsk, BELARUS

[7] Brest Reg Ctr Hyg Epidemiol & Publ Hlth, Brest, BELARUS

[8] Vitebsk Reg Ctr Hyg Epidemiol & Publ Hlth, Vitebsk, BELARUS

[9] Gomel Reg Ctr Hyg Epidemiol & Publ Hlth, Gomel, BELARUS

[10] Grodno Reg Ctr Hyg Epidemiol & Publ Hlth, Grodno, BELARUS

[11] Minsk City Ctr Hyg & Epidemiol, Minsk, BELARUS

[12] Minsk Reg Ctr Hyg Epidemiol & Publ Hlth, Minsk, BELARUS

[13] Mogilev Reg Ctr Hyg Epidemiol & Publ Hlth, Mogilev, BELARUS

来源：

INFEKTSIYA I IMMUNITET | 2021年 / 11卷 / 05期

关键词：

coronaviruses; SARS-CoV-2; COVID-19; morbidity; seroprevalence; asymptomatic course; Republic of Belarus; population; vaccination; anti-nucleocapsid antibodies; anti-RBD antibodies; Gam-COVID-Vac vaccine (Sputnik V); BBIBP-CorV vaccine; HEALTH-CARE; SEROPREVALENCE;

D O I：

10.15789/2220-7619-HIT-1798

中图分类号：

R51 [传染病];

学科分类号：

100401 ;

摘要：

Objective was to investigate the SARS-CoV-2 collective immunity status of the population of Belarus within the context of the COVID-19 pandemic. Materials and methods. The work was carried out according to the methodology for assessing SARS-CoV-2 population immunity, developed by Rospotrebnadzor Russia and the Ministry of Health of Belarus with the participation of the St. Petersburg Pasteur Institute, taking into account WHO recommendations. The Bioethics Committee of Belarus and the local ethics committee of the St. Petersburg Pasteur Institute approved the study. Selection of participants was carried out using a questionnaire method and online technology (internet, cloud server). Volunteers were randomized into seven age groups (years of age): 1-17; 18-29; 30-39; 40-49; 50-59; 60-69; and 70+. Regional randomization ensured proportional representation of volunteers from each region, and no more than 30 people were included from one enterprise. In accordance with manufacturer instructions, blood plasma samples were analyzed for: IgG antibodies (Abs) to the SARS-CoV-2 nucleocapsid (Nc) using a quantitative ELISA test system; and IgG Abs to the receptor binding domain (RBD) of the SARS-CoV-2 S (spike) surface glycoprotein using a qualitative ELISA test system. Statistical processing was carried out using Excel 2010 and other software. Statistical differences were designated as significant when p < 0.05, unless otherwise indicated. Results. The level of seroprevalence, in terms of Abs to Nc among the Belarusian population, was 38.4% (95% CI 37.6-45.4). The highest Ab levels were found among individuals in older age groups (50-70+ years old). The lowest were found in children 1-17 years old and in young people 18-39 years old The distribution of seroprevalence across Belarusian regions was relatively homogeneous, with the exception of the Minsk Region, where a statistically significant decrease in the indicator was noted. In terms of profession, the largest share of seropositive individuals was found among transportation workers; the smallest was found in business. The moderate COVID-19 incidence has not led to a dramatic increase in the number of contacts. The base reproduction number (RO) was 1.3. In the Republic of Belarus, there was a moderate level of asymptomatic COVID-19 among seropositive individuals (45.3% [95% CI 44.0-46.7]). This form of infection was observed most often among children aged 1-17 years old (65.0% [95% CI 61.3-68.6]). In parallel with seroprevalence assessment, SARS-CoV-2 vaccination was carried out. We used two vaccines: Gam-COVID-Vac (also known as Sputnik V, developed by Gamaleya National Center for Epidemiology and Microbiology, Russia); and BBIBP-CorV (Sinopharm, PRC). Vaccination against SARS-CoV-2 was accompanied by an increase in the level of anti-RBD Abs (95% [95% CI 94.7-96.7]). Taking into account the vaccination of a subset of the population with BBIBP-CorV, the overall herd immunity, inferred from the analyzed indicators (presence of anti-Nc or anti-RBD Abs), was 47.1% (95% CI 46.3-48.0). Conclusion. COVID-19 in Belarus was characterized by a moderately pronounced course of the epidemic process. The threshold level of herd immunity to SARS-CoV-2 has not yet been reached, as a result of which the conditions for progression of the epidemic remain.

引用

页码：887 / 904

页数：18

共 55 条

[1] Approximate is better than "exact" for interval estimation of binomial proportions [J].

Agresti, A ;

Coull, BA .

AMERICAN STATISTICIAN, 1998, 52 (02) :119-126

[2] SARS-CoV-2 Seroprevalence among Healthcare, First Response, and Public Safety Personnel Detroit Metropolitan Area, Michigan, USA, May-June 2020 [J].

Akinbami, Lara J. ;

Vuong, Nga ;

Petersen, Lyle R. ;

Sami, Samira ;

Patel, Anita ;

Lukacs, Susan L. ;

Mackey, Lisa ;

Grohskopf, Lisa A. ;

Shehu, Amy ;

Atas, Jenny .

EMERGING INFECTIOUS DISEASES, 2020, 26 (12) :2863-2871

[3]

Aleshkin A.V., 2021, INFEKTSIONNYE BOLEZN, V18, P8, DOI [10.20953/1729- 9225-2020-4-8-16, DOI 10.20953/1729-9225-2020-4-8-16]

[4]

[Anonymous], IMPORTED CASE CORONA

[5]

[Anonymous], The significant difference between the maximum and minimum values of the non-Markovianity degrees makes accurately distinguishing the boundary between the non-Markovian and Markovian regions based on the original data unfeasible. To address this issue, we have implemented a scaling method for the values of the measure in all heat maps

[6]

[Anonymous], POP BEL COUNTR

[7] Responses to the COVID-19 crisis in Russia, Ukraine, and Belarus [J].

Aslund, Anders .

EURASIAN GEOGRAPHY AND ECONOMICS, 2020, 61 (4-5) :532-545

[8]

AYu P., 2020, Problemy Osobo Opasnykh Infektsii, V3, P106, DOI [DOI 10.21055/0370-1069-2020-3-106-113, 10.21055/0370-1069-2020-3-106-113]

[9] Estimating the burden of United States workers exposed to infection or disease: A key factor in containing risk of COVID-19 infection [J].

Baker, Marissa G. ;

Peckham, Trevor K. ;

Seixas, Noah S. .

PLOS ONE, 2020, 15 (04)

[10] Self-isolation [J].

Baril-Tremblay, Dominique ;

Marlats, Chantal ;

Menager, Lucie .

JOURNAL OF MATHEMATICAL ECONOMICS, 2021, 93

← 1 2 3 4 5 6 →