Herd immunity to SARS-COV-2 in the population of the Southern regions of the Far East of Russia

The aim: to study the structure and dynamics of population immunity to SARSCoV-2 of the population of the Southern Regions of the Far East (SRFE): Khabarovsk, Primorsky Krai and Amur Region during the COVID-19 epidemic in 2020.Materials and methods. The work was carried out according to the program...

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Autores principales:	A. Yu. Popova, V. S. Smirnov, E. B. Ezhlova, A. A. Melnikova, O. E. Trotsenko, O. P. Kurganova, T. N. Detkovskaya, L. V. Lyalina, E. I. Abbasova, O. M. Yurgina, O. B. Romanova, E. V. Pyatyrova, E. N. Burdinskaya, A. S. Solokhin, E. V. Bogdan, E. A. Bazykina, A. A. Totolian
Formato:	article
Lenguaje:	RU
Publicado:	Scientific Сentre for Family Health and Human Reproduction Problems 2021
Materias:	coronaviruses covid-19 morbidity seroprevalence seromonitoring khabarovsk territory primorsky territory amur region population asymptomatic course Science Q
Acceso en línea:	https://doaj.org/article/c3a321562b614526b9e1d1b2202c2e78
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id	oai:doaj.org-article:c3a321562b614526b9e1d1b2202c2e78
record_format	dspace
institution	DOAJ
collection	DOAJ
language	RU
topic	coronaviruses covid-19 morbidity seroprevalence seromonitoring khabarovsk territory primorsky territory amur region population asymptomatic course Science Q
spellingShingle	coronaviruses covid-19 morbidity seroprevalence seromonitoring khabarovsk territory primorsky territory amur region population asymptomatic course Science Q A. Yu. Popova V. S. Smirnov E. B. Ezhlova A. A. Melnikova O. E. Trotsenko O. P. Kurganova T. N. Detkovskaya L. V. Lyalina E. I. Abbasova O. M. Yurgina O. B. Romanova E. V. Pyatyrova E. N. Burdinskaya A. S. Solokhin E. V. Bogdan E. A. Bazykina A. A. Totolian Herd immunity to SARS-COV-2 in the population of the Southern regions of the Far East of Russia
description	The aim: to study the structure and dynamics of population immunity to SARSCoV-2 of the population of the Southern Regions of the Far East (SRFE): Khabarovsk, Primorsky Krai and Amur Region during the COVID-19 epidemic in 2020.Materials and methods. The work was carried out according to the program for assessing population immunity to SARS -CoV-2 of the population of the Russian Federation according to the methodology developed by the Rospotrebnadzor with the participation of the St. Petersburg Pasteur Institute. The study was approved by the ethical committee of the St. Petersburg Pasteur Institute. The selection of participants was carried out by a questionnaire method using cloud technologies. The volunteers were randomized by age by stratification into 7 age groups: 1–17, 18–29, 30–39, 40–49, 50–59, 60–69, 70+ years old. Territorial randomization consisted in limiting the engaging of volunteers – no more than 30 people from one enterprise. After the initial cross-sectional study, a 3-stage seromonitoring was carried out, in which the same volunteers participated. Antibodies to the SARS-CoV-2 nucleocapsid were determined in peripheral blood serum by the enzyme immunoassay using an appropriate set of reagents produced by the State Scientific Center for Medical and Biological Sciences of the Rospotrebnadzor (Obolensk). Statistical analysis was performed using the Excel package. The confidence interval for the proportion was calculated using the A. Wald, J. Wolfowitz method with A. Agresti, B.A. Coull’s correction. The statistical significance of the differences was calculated online using a specialized calculator. The statistical significance of the differences was assessed with a probability of p˂ 0.05, unless otherwise indicated.Results. In a comparative analysis, the highest morbidity was observed in the Khabarovsk Territory, the lowest – in the Primorsky Territory. The level of seroprevalence among the population of the region was 19.6 % (95 % CI: 18.2–21.1) in the Khabarovsk Territory, 19.6 % (95 % CI: 18.1–21.2) in the Primorsky Territory19,6 % and 45,5 % (95 % CI: 43.7–47.3) in the Amur region. The highest seroprevalence was noted among 1–17 years old children, mainly due to the subgroup of 14–17-years-olds. The smallest proportion of seropositive was found among 40–49-year-olds in the Khabarovsk Territory (14.7 %, 95 % CI: 11.2–18.6), 18–28-yearolds in the Primorsky Territory (13.3 %, 95 % CI: 10.0–17.1) and 30–39-year-olds in the Amur Region (36.3 %, 95% CI: 31.7–41.6). No statistically significant dependence of seroprevalence on territorial and occupational factors has been established, with the exception of an increase in the proportion of seropositive medical workers in Primorsky Territory. In the process of 3-stage seromonitoring, a regular increase in the proportion of seropositive people was revealed in all SRFE. The resulting tendency is correctly described by a second-order polynomial. A relationship was revealed between the number of convalescents and persons in contact with them, which made it possible to calculate the base reproductive number (R0) in the range from 1.4 (Primorsky Territory) to 2.4 (Amur Region). Analysis of seroprevalent volunteers showed that the number of asymptomatic individuals varied from 94.1 % (95 % CI: 92.8–95.3) to 98.3 % (95 % CI: 98.8–99.2). This indicates that most of the volunteers had COVID-19 asymptomatically.Conclusions. A comparative study showed the prevalence of seroprevalence in the Amur Region compared with the Khabarovsk and Primorsky Territories. The relationship between the number of convalescents and persons in contact with them was noted. The value of the base R0 is calculated. It has been shown that more than 90 % of seropositive individuals in the COVID-10 SRFE were asymptomatic.
format	article
author	A. Yu. Popova V. S. Smirnov E. B. Ezhlova A. A. Melnikova O. E. Trotsenko O. P. Kurganova T. N. Detkovskaya L. V. Lyalina E. I. Abbasova O. M. Yurgina O. B. Romanova E. V. Pyatyrova E. N. Burdinskaya A. S. Solokhin E. V. Bogdan E. A. Bazykina A. A. Totolian
author_facet	A. Yu. Popova V. S. Smirnov E. B. Ezhlova A. A. Melnikova O. E. Trotsenko O. P. Kurganova T. N. Detkovskaya L. V. Lyalina E. I. Abbasova O. M. Yurgina O. B. Romanova E. V. Pyatyrova E. N. Burdinskaya A. S. Solokhin E. V. Bogdan E. A. Bazykina A. A. Totolian
author_sort	A. Yu. Popova
title	Herd immunity to SARS-COV-2 in the population of the Southern regions of the Far East of Russia
title_short	Herd immunity to SARS-COV-2 in the population of the Southern regions of the Far East of Russia
title_full	Herd immunity to SARS-COV-2 in the population of the Southern regions of the Far East of Russia
title_fullStr	Herd immunity to SARS-COV-2 in the population of the Southern regions of the Far East of Russia
title_full_unstemmed	Herd immunity to SARS-COV-2 in the population of the Southern regions of the Far East of Russia
title_sort	herd immunity to sars-cov-2 in the population of the southern regions of the far east of russia
publisher	Scientific Сentre for Family Health and Human Reproduction Problems
publishDate	2021
url	https://doaj.org/article/c3a321562b614526b9e1d1b2202c2e78
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spelling	oai:doaj.org-article:c3a321562b614526b9e1d1b2202c2e782021-11-23T06:14:47ZHerd immunity to SARS-COV-2 in the population of the Southern regions of the Far East of Russia2541-94202587-959610.29413/ABS.2021-6.5.25https://doaj.org/article/c3a321562b614526b9e1d1b2202c2e782021-11-01T00:00:00Zhttps://www.actabiomedica.ru/jour/article/view/3060https://doaj.org/toc/2541-9420https://doaj.org/toc/2587-9596The aim: to study the structure and dynamics of population immunity to SARSCoV-2 of the population of the Southern Regions of the Far East (SRFE): Khabarovsk, Primorsky Krai and Amur Region during the COVID-19 epidemic in 2020.Materials and methods. The work was carried out according to the program for assessing population immunity to SARS -CoV-2 of the population of the Russian Federation according to the methodology developed by the Rospotrebnadzor with the participation of the St. Petersburg Pasteur Institute. The study was approved by the ethical committee of the St. Petersburg Pasteur Institute. The selection of participants was carried out by a questionnaire method using cloud technologies. The volunteers were randomized by age by stratification into 7 age groups: 1–17, 18–29, 30–39, 40–49, 50–59, 60–69, 70+ years old. Territorial randomization consisted in limiting the engaging of volunteers – no more than 30 people from one enterprise. After the initial cross-sectional study, a 3-stage seromonitoring was carried out, in which the same volunteers participated. Antibodies to the SARS-CoV-2 nucleocapsid were determined in peripheral blood serum by the enzyme immunoassay using an appropriate set of reagents produced by the State Scientific Center for Medical and Biological Sciences of the Rospotrebnadzor (Obolensk). Statistical analysis was performed using the Excel package. The confidence interval for the proportion was calculated using the A. Wald, J. Wolfowitz method with A. Agresti, B.A. Coull’s correction. The statistical significance of the differences was calculated online using a specialized calculator. The statistical significance of the differences was assessed with a probability of p˂ 0.05, unless otherwise indicated.Results. In a comparative analysis, the highest morbidity was observed in the Khabarovsk Territory, the lowest – in the Primorsky Territory. The level of seroprevalence among the population of the region was 19.6 % (95 % CI: 18.2–21.1) in the Khabarovsk Territory, 19.6 % (95 % CI: 18.1–21.2) in the Primorsky Territory19,6 % and 45,5 % (95 % CI: 43.7–47.3) in the Amur region. The highest seroprevalence was noted among 1–17 years old children, mainly due to the subgroup of 14–17-years-olds. The smallest proportion of seropositive was found among 40–49-year-olds in the Khabarovsk Territory (14.7 %, 95 % CI: 11.2–18.6), 18–28-yearolds in the Primorsky Territory (13.3 %, 95 % CI: 10.0–17.1) and 30–39-year-olds in the Amur Region (36.3 %, 95% CI: 31.7–41.6). No statistically significant dependence of seroprevalence on territorial and occupational factors has been established, with the exception of an increase in the proportion of seropositive medical workers in Primorsky Territory. In the process of 3-stage seromonitoring, a regular increase in the proportion of seropositive people was revealed in all SRFE. The resulting tendency is correctly described by a second-order polynomial. A relationship was revealed between the number of convalescents and persons in contact with them, which made it possible to calculate the base reproductive number (R0) in the range from 1.4 (Primorsky Territory) to 2.4 (Amur Region). Analysis of seroprevalent volunteers showed that the number of asymptomatic individuals varied from 94.1 % (95 % CI: 92.8–95.3) to 98.3 % (95 % CI: 98.8–99.2). This indicates that most of the volunteers had COVID-19 asymptomatically.Conclusions. A comparative study showed the prevalence of seroprevalence in the Amur Region compared with the Khabarovsk and Primorsky Territories. The relationship between the number of convalescents and persons in contact with them was noted. The value of the base R0 is calculated. It has been shown that more than 90 % of seropositive individuals in the COVID-10 SRFE were asymptomatic.A. Yu. PopovaV. S. SmirnovE. B. EzhlovaA. A. MelnikovaO. E. TrotsenkoO. P. KurganovaT. N. DetkovskayaL. V. LyalinaE. I. AbbasovaO. M. YurginaO. B. RomanovaE. V. PyatyrovaE. N. BurdinskayaA. S. SolokhinE. V. BogdanE. A. BazykinaA. A. TotolianScientific Сentre for Family Health and Human Reproduction Problemsarticlecoronavirusescovid-19morbidityseroprevalenceseromonitoringkhabarovsk territoryprimorsky territoryamur regionpopulationasymptomatic courseScienceQRUActa Biomedica Scientifica, Vol 6, Iss 5, Pp 253-273 (2021)

Herd immunity to SARS-COV-2 in the population of the Southern regions of the Far East of Russia

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