Assessment of the Herd Immunity to SARS-CoV-2 among the Population of the Leningrad Region during the COVID-19 Epidemic-Reference-Cited by-同舟云学术

Assessment of the Herd Immunity to SARS-CoV-2 among the Population of the Leningrad Region during the COVID-19 Epidemic

Published:2020-10-22 Issue:3 Volume: Page:114-123
ISSN:2658-719X
Container-title:Problems of Particularly Dangerous Infections
language:
Short-container-title:Problemy Osobo Opasnykh Infektsii

Author:

Popova A. Yu.¹^ORCID,Ezhlova E. B.²,Mel’nikova A. A.²,Historik O. A.³,Mosevich O. S.⁴,Lyalina L. V.⁵^ORCID,Smirnov V. S.⁴^ORCID,Cherny M. A.³,Balabysheva N. S.³,Loginova I. S.³,Vladimirova O. S.³,Samoglyadova I. S.³,Vasev N. A.³,Rumyantseva S. V.³,Chupalova E. Yu.³,Selivanova G. V.³,Muraviova M. V.³,Timofeeva L. V.³,Khankishieva E. N.³,Tylchevskaya V. D.³,Nikitenko N. D.³,Kostenitskaya T. I.³,Virkunen N. V.³,Klimkina I. M.⁴,Kuzmina T. M.⁴,Degtyarenko N. V.⁴,Bazunova A. I.⁴,Filippova L. A.⁴,Palchikova N. A.⁴,Kukshkin A. V.⁴,Arsentieva N. A.⁵,Batsunov O. K.⁵,Bogumilchik E. A.⁵^ORCID,Voskresenskaya E. A.⁵^ORCID,Drobyshevskaya V. G.⁵,Zueva E. V.⁵,Kokorina G. I.⁵^ORCID,Kurova N. N.⁵^ORCID,Lyubimova N. E.⁵,Ferman R. S.⁵^ORCID,Khamdulaeva G. N.⁵,Khamitova I. V.⁵,Khorkova E. V.⁵,Milichkina A. M.⁵,Dedkov V. G.⁵^ORCID,Totolian A. A.⁵^ORCID

Affiliation:

1. Federal Service for Surveillance in the Sphere for Consumers Right Protection and Human Welfare; Russian Medical Academy of Continuing Professional Education

2. Federal Service for Surveillance in the Sphere for Consumers Right Protection and Human Welfare

3. Rospotrebnadzor Administration in the Leningrad Region

4. Center of Hygiene and Epidemiology in the Leningrad Region

5. Saint-Petersburg Pasteur Research Institute of Epidemiology and Microbiology

Abstract

The first case of COVID-19 was registered in the Leningrad Region on March 13, 2020. The period of increasing intensity of the epidemic process lasted 8 weeks. One month after reaching the maximum incidence rate, a study was organized to determine seroprevalence to COVID-19 among the population of the Region.Objective of the study was to determine the level and structure of community immunity to SARS-CoV-2 virus in the population of the Leningrad Region in the period of intensive COVID-19 transmission.Materials and methods. The work was carried out within the framework of the Rospotrebnadzor project on assessment of community immunity to the SARS-CoV-2 virus in the population of the Russian Federation. The content of antibodies to SARS-CoV-2 was determined applying ELISA using a kit for the analysis of human serum or blood plasma for the presence of specific IgG to the nucleocapsid of the SARS-CoV-2 virus , manufactured by the State Scientific Center of Applied Microbiology and Biotechnology (Obolensk) in accordance with the instructions for use.Results and discussion. The study has showed that the herd immunity of the population of the Leningrad Region was 20.7 %. The maximum level has been established in children 1–6 years old (42.3 %) and people over 70 years old (29.0 %). The highest level of seropositivity, except for children and older people, was found among the unemployed (25.1 %). The lowest level of seroprevalence was detected in civil servants (12.8 %) and military personnel (16.7 %). It has been shown that the risk of infection increases by 1.5 times in case of contacts with COVID-19 patients. After exposure to COVID-19 virus, antibodies are produced in 82.1 % of the cases. In individuals with a positive PCR test result obtained earlier, antibodies are detected in 82.8 % of cases. The share of asymptomatic forms among seropositive residents of the Leningrad Region was 86.9 %. The results of assessing the herd immunity to SARS-CoV-2 in the population of the Leningrad Region indicate that during the period of intensive COVID-19 transmission, an average level of seroprevalence was formed. A significant proportion of asymptomatic forms of infection characterizes the high intensity of the latently developing epidemic process. The results obtained should be taken into account when organizing preventive measures, including vaccination, and predicting morbidity rates.

Publisher

Russian Research Anti-Plague Institute Microbe

Subject

Infectious Diseases,Microbiology (medical),Immunology,Microbiology,Epidemiology

Reference16 articles.

1. Xu X., Chen P., Wang J., J. Feng, Zhou H., Li X., Zhong W., Hao P. Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission. Sci. China. Life Sci. 2020; 63:457–60. DOI: 10.1007/s11427-020-1637-5.

2. Gorbalenya A.E., Baker S.C., Baric R.S., de Groot R.J., Drosten C., Gulyaeva A.A., Haagmans B.L., Lauber C., Leontovich A.M., Neuman B.W., Penzar D., Perlman S., Poon L.L.M., Samborskiy D., Sidorov I.A., Sola I., Ziebuhr J. Severe acute respiratory syndrome-related coronavirus: the species and its viruses – a statement of the Coronavirus Study Group. BioRxiv. 2020; DOI: 10.1101/2020.02.07.937862.

3. WHO Director-General’s remarks at the media briefing on 2019-nCoV on 11 February 2020. (Cited 29 June 2020). [Internet]. Available from: https://www.who.int/ru/dg/speeches/detail/whodirector-general-s-remarks-at-the-media-briefing-on-2019-ncov-on-11-february-202.

4. Clemente-Suárez V.J., Hormeño-Holgado A., Jiménez M., Benitez-Agudelo J.C., Navarro-Jiménez E., Perez-Palencia N., Maestre-Serrano R., Laborde-Cárdenas C.C., Tornero-Aguilera J.F. Dynamics of population immunity due to the herd effect in the COVID-19 pandemic. Vaccines (Basel). 2020; 8(2):E236. DOI: 10.3390/vaccines8020236.

5. Popova A.Yu., Ezhlova E.B., Mel’nikova A.A., Bashketova N.S., Fridman R.K., Lyalina L.V., Smirnov V.S., Chkhindzheriya I.G., Grechaninova T.A., Agapov K.A., Arsentyeva N.A., Bazhenova N.A., Batsunov O.K., Danilova E.M., Zueva E.V., Komkova D.V., Kuznetsova R.N. ., Lyubimova N.E., Markova A.N., Khamitova I.V., Milichkina A.M., Dedkov V.G., Totolyan A.A. [Population immunity to the SARS-CoV-2 virus among the population of St. Petersburg in the active phase of the COVID-19 epidemic]. COVID19-PREPRINTS.MICROBE.RU. 28 July 2020. [Internet]. DOI: 10.21055/preprints-3111752.

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mathematical Modeling Of the Spread of COVID-19, Taking Into Account the Distribution of Asymptomatic Cases between Actually Asymptomatic and Pre-Symptomatic Cases;Mathematical Biology and Bioinformatics;2024-03-21

2. Was There a Period of Latent Development of COVID-19 in St. Petersburg? Mathematical Simulation Results and Facts;Mathematical Models and Computer Simulations;2023-11-04

3. Systematic review of seroprevalence of SARS-CoV-2 antibodies and appraisal of evidence, prior to the widespread introduction of vaccine programmes in the WHO European Region, January–December 2020;BMJ Open;2023-11

4. Существовал ли период скрытого развития COVID-19 в Санкт-Петербурге? Результаты математического моделирования и факты;Математическое моделирование;2023-04-27

5. Features of the Formation of Seroprevalence to SARS-CoV2 in the Population of the Republic of Tatarstan during the Spread of COVID-19;Epidemiology and Vaccinal Prevention;2023-03-05