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Chen YY, Yang MH, Lai JZ, Chen JW, Wang YL, Wei ST, Hou SM, Chen CJ, Wu HS. Seroprevalence of Anti-SARS-CoV-2 Remained Extremely Low in Taiwan Until the Vaccination Program Was Implemented. Open Forum Infect Dis 2024; 11:ofad614. [PMID: 38192381 PMCID: PMC10773475 DOI: 10.1093/ofid/ofad614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 12/13/2023] [Indexed: 01/10/2024] Open
Abstract
Background The Taiwanese government made a concerted effort to contain a coronavirus disease 2019 (COVID-19) nosocomial outbreak of variant B.1.429, shortly before universal vaccination program implementation. This study aimed to investigate seroprevalence in the highest-risk regions. Methods Between January and February 2021, we retrieved 10 000 repository serum samples from blood donors to examine for antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid (N) and spike (S) antigens. A positive result was confirmed if anti-N and anti-S antibodies were positive. Overall, 2000 donors residing in the highest-risk district and donating blood in January 2021 were further examined for SARS-CoV-2 RNA. We estimated seroprevalence and compared the epidemic curve between confirmed COVID-19 cases and blood donors with positive antibodies or viral RNA. Results Twenty-one cases with COVID-19 were confirmed in the nosocomial cluster, with an incidence of 1.27/100 000 in the COVID-affected districts. Among 4888 close contacts of the nosocomial cases, 20 (0.4%) became confirmed cases during isolation. Anti-SARS-CoV-2 was detected in 2 of the 10000 blood donors, showing a seroprevalence of 2/10000 (95% CI, 0.55-7.29). None of the 2000 donors who underwent tests for SARS-CoV-2 RNA were positive. The SARS-CoV-2 infection epidemic curve was observed sporadically in blood donors compared with the nosocomial cluster. Conclusions In early 2021, an extremely low anti-SARS-CoV-2 seroprevalence among blood donors was observed. Epidemic control measures through precise close contact tracing, testing, and isolation effectively contained SARS-CoV-2 transmission before universal vaccination program implementation.
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Affiliation(s)
| | | | | | - Jen-Wei Chen
- Taiwan Blood Services Foundation, Taipei, Taiwan
| | | | | | - Sheng-Mou Hou
- Taiwan Blood Services Foundation, Taipei, Taiwan
- Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan
| | | | - Ho-Sheng Wu
- Hsinchu Blood Center, Hsinchu, Taiwan
- Taipei Medical University, Taipei, Taiwan
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Totolian AA, Smirnov VS, Krasnov AA, Ramsay ES, Dedkov VG, Popova AY. COVID-19 Incidence Proportion as a Function of Regional Testing Strategy, Vaccination Coverage, and Vaccine Type. Viruses 2023; 15:2181. [PMID: 38005859 PMCID: PMC10675075 DOI: 10.3390/v15112181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/26/2023] Open
Abstract
Introduction: The COVID-19 pandemic has become a serious challenge for humanity almost everywhere globally. Despite active vaccination around the world, the incidence proportion in different countries varies significantly as of May 2022. The reason may be a combination of demographic, immunological, and epidemiological factors. The purpose of this study was to analyze possible relationships between COVID-19 incidence proportion in the population and the types of SARS-CoV-2 vaccines used in different countries globally, taking into account demographic and epidemiological factors. Materials and methods: An initial database was created of demographic and immunoepidemiological information about the COVID-19 situation in 104 countries collected from published official sources and repository data. The baseline included, for each country, population size and density; SARS-CoV-2 testing coverage; vaccination coverage; incidence proportion; and a list of vaccines that were used, including their relative share among all vaccinations. Subsequently, the initial data set was stratified by population and vaccination coverage. The final data set was subjected to statistical processing both in general and taking into account population testing coverage. Results: After formation of the final data set (including 53 countries), it turned out that reported COVID-19 case numbers correlated most strongly with testing coverage and the proportions of vaccine types used, specifically, mRNA (V1); vector (V2); peptide/protein (V3); and whole-virion/inactivated (V4). Due to the fact that an inverse correlation was found between 'reported COVID-19 case numbers' with V2, V3, and V4, these three vaccine types were also combined into one analytic group, 'non-mRNA group' vaccines (Vnmg). When the relationship between vaccine type and incidence proportion was examined, minimum incidence proportion was noted at V1:Vnmg ratios (%:%) from 0:100 to 30:70. Maximum incidence proportion was seen with V1:Vnmg from 80:20 to 100:0. On the other hand, we have shown that the number of reported COVID-19 cases in different countries largely depends on testing coverage. To offset this factor, countries with low and extremely high levels of testing were excluded from the data set; it was then confirmed that the largest number of reported COVID-19 cases occurred in countries with a dominance of V1 vaccines. The fewest reported cases were seen in countries with a dominance of Vnmg vaccines. Conclusion: In this paper, we have shown for the first time that the level of reported COVID-19 incidence proportion depends not only on SARS-CoV-2 testing and vaccination coverage, which is quite logical, but probably also on the vaccine types used. With the same vaccination level and testing coverage, those countries that predominantly use vector and whole-virion vaccines feature incidence proportion that is significantly lower than countries that predominantly use mRNA vaccines.
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Affiliation(s)
- Areg A. Totolian
- Saint Petersburg Pasteur Institute, 197101 St. Petersburg, Russia; (A.A.T.); (V.S.S.); (A.A.K.); (E.S.R.)
| | - Viacheslav S. Smirnov
- Saint Petersburg Pasteur Institute, 197101 St. Petersburg, Russia; (A.A.T.); (V.S.S.); (A.A.K.); (E.S.R.)
| | - Alexei A. Krasnov
- Saint Petersburg Pasteur Institute, 197101 St. Petersburg, Russia; (A.A.T.); (V.S.S.); (A.A.K.); (E.S.R.)
| | - Edward S. Ramsay
- Saint Petersburg Pasteur Institute, 197101 St. Petersburg, Russia; (A.A.T.); (V.S.S.); (A.A.K.); (E.S.R.)
| | - Vladimir G. Dedkov
- Saint Petersburg Pasteur Institute, 197101 St. Petersburg, Russia; (A.A.T.); (V.S.S.); (A.A.K.); (E.S.R.)
| | - Anna Y. Popova
- Federal Service for Supervision of Consumer Rights Protection and Human Welfare, 127994 Moscow, Russia;
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Palyanova NV, Sobolev IA, Palyanov AY, Kurskaya OG, Komissarov AB, Danilenko DM, Fadeev AV, Shestopalov AM. The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020-2022 Period. Viruses 2023; 15:2014. [PMID: 37896792 PMCID: PMC10612024 DOI: 10.3390/v15102014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/08/2023] [Accepted: 09/15/2023] [Indexed: 10/29/2023] Open
Abstract
The comparison of the development of the SARS-CoV-2 epidemic in several neighboring regions can help researchers to assess the risks and develop more effective strategies and approaches in the field of preventive medicine. We analyzed the infection and mortality statistics for the 2020-2022 period in ten individual regions of the Siberian Federal District of Russia. We also sequenced complete genomes, which allowed us to analyze the genetic diversity of SARS-CoV-2 circulated in each of the ten regions and to build a phylogenetic dendrogram for the virus variants. The ParSeq v.1.0 software was developed to automate and speed up the processing and analysis of viral genomes. At the beginning of the pandemic, in the first two waves, the B.1.1 variant (20B) dominated in all regions of the Siberian Federal District. The third and fourth waves were caused by the Delta variant. Mortality during this period was at a maximum; the incidence was quite high, but the number of deposited genomes with GISAID during this period was extremely low. The maximum incidence was at the beginning of 2022, which corresponds to the arrival of the Omicron variant in the region. The BA.5.2 variant became the dominant one. In addition, by using NextClade, we identified three recombinants in the most densely populated areas.
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Affiliation(s)
- Natalia V. Palyanova
- Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia; (I.A.S.); (A.Y.P.); (O.G.K.); (A.M.S.)
| | - Ivan A. Sobolev
- Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia; (I.A.S.); (A.Y.P.); (O.G.K.); (A.M.S.)
| | - Andrey Yu. Palyanov
- Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia; (I.A.S.); (A.Y.P.); (O.G.K.); (A.M.S.)
- A.P. Ershov Institute of Informatics Systems, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Department of Mathematics and Mechanics, Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Olga G. Kurskaya
- Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia; (I.A.S.); (A.Y.P.); (O.G.K.); (A.M.S.)
| | - Andrey B. Komissarov
- Federal Budgetary Institution «Smorodintsev Research Institute of Influenza», 197376 St. Petersburg, Russia; (A.B.K.); (D.M.D.); (A.V.F.)
| | - Daria M. Danilenko
- Federal Budgetary Institution «Smorodintsev Research Institute of Influenza», 197376 St. Petersburg, Russia; (A.B.K.); (D.M.D.); (A.V.F.)
| | - Artem V. Fadeev
- Federal Budgetary Institution «Smorodintsev Research Institute of Influenza», 197376 St. Petersburg, Russia; (A.B.K.); (D.M.D.); (A.V.F.)
| | - Alexander M. Shestopalov
- Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia; (I.A.S.); (A.Y.P.); (O.G.K.); (A.M.S.)
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Krieger E, Sharashova E, Kudryavtsev AV, Samodova O, Kontsevaya A, Brenn T, Postoev V. COVID-19: seroprevalence and adherence to preventive measures in Arkhangelsk, Northwest Russia. Infect Dis (Lond) 2023; 55:316-327. [PMID: 36919829 DOI: 10.1080/23744235.2023.2179660] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND The published estimates of SARS-CoV-2 seroprevalence in Russia are few. The study aimed to assess the SARS-CoV-2 seroprevalence in Arkhangelsk (Northwest Russia), in a year after the start of the pandemic, to evaluate the population adherence to non-pharmaceutical interventions (NPIs), and to investigate characteristics associated with COVID-19 seropositive status. METHODS We conducted a SARS-CoV-2 seroprevalence study between 24 February and 30 June 2021 involving 1332 adults aged 40-74 years. Logistic regression models were fit to identify factors associated with seropositive status and with adherence to NPIs. RESULTS Less than half (48.9%) of study participants adhered all recommended NPIs. Male sex (odds ratio [OR] 1.7, 95% confidence intervals [CI] 1.3; 2.3), regular employment (OR 1.8, 95% CI 1.3; 2.5) and low confidence in the efficiency of the NPIs (OR 1.9, 95% CI 1.5; 2.5) were associated with low adherence to internationally recommended NPIs. The SARS-CoV-2 seroprevalence rate was 65.1% (95% CI: 62.5; 67.6) and increased to 73.0% (95% CI: 67.1; 85.7) after adjustment for test performance. Regular employment (OR 2.0, 95% CI 1.5; 2.8) and current smoking (OR 0.4, 95% CI 0.2; 0.5) were associated with being seropositive due to the infection. CONCLUSIONS Two third of the study population were seropositive in a year after the onset of the pandemic in Arkhangelsk. Individuals with infection-acquired immunity were more likely to have regular work and less likely to be smokers. The adherence to NPIs was not found associated with getting the virus during the first year of the pandemic.
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Affiliation(s)
- Ekaterina Krieger
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.,International Research Competence Centre, Northern State Medical University, Arkhangelsk, Russian Federation
| | - Ekaterina Sharashova
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Alexander V Kudryavtsev
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.,International Research Competence Centre, Northern State Medical University, Arkhangelsk, Russian Federation
| | - Olga Samodova
- Department of Infectious Diseases, Northern State Medical University, Arkhangelsk, Russian Federation
| | - Anna Kontsevaya
- Department of Public Health, National Medical Research Centre for Therapy and Preventive Medicine, Moscow, Russian Federation
| | - Tormod Brenn
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Vitaly Postoev
- Department of Research Methodology, Northern State Medical University, Arkhangelsk, Russian Federation
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5
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Axfors C, Pezzullo AM, Contopoulos-Ioannidis DG, Apostolatos A, Ioannidis JPA. Differential COVID-19 infection rates in children, adults, and elderly: Systematic review and meta-analysis of 38 pre-vaccination national seroprevalence studies. J Glob Health 2023; 13:06004. [PMID: 36655924 PMCID: PMC9850866 DOI: 10.7189/jogh.13.06004] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Background Debate exists about whether extra protection of elderly and other vulnerable individuals is feasible in COVID-19. We aimed to assess the relative infection rates in the elderly vs the non-elderly and, secondarily, in children vs adults. Methods We performed a systematic review and meta-analysis of seroprevalence studies conducted in the pre-vaccination era. We identified representative national studies without high risk of bias through SeroTracker and PubMed searches (last updated May 17, 2022). We noted seroprevalence estimates for children, non-elderly adults, and elderly adults, using cut-offs of 20 and 60 years (or as close to these ages, if they were unavailable) and compared them between different age groups. Results We included 38 national seroprevalence studies from 36 different countries comprising 826 963 participants. Twenty-six of these studies also included pediatric populations and twenty-five were from high-income countries. The median ratio of seroprevalence in elderly vs non-elderly adults (or non-elderly in general, if pediatric and adult population data were not offered separately) was 0.90-0.95 in different analyses, with large variability across studies. In five studies (all in high-income countries), we observed significant protection of the elderly with a ratio of <0.40, with a median of 0.83 in high-income countries and 1.02 elsewhere. The median ratio of seroprevalence in children vs adults was 0.89 and only one study showed a significant ratio of <0.40. The main limitation of our study is the inaccuracies and biases in seroprevalence studies. Conclusions Precision shielding of elderly community-dwelling populations before the availability of vaccines was indicated in some high-income countries, but most countries failed to achieve any substantial focused protection. Registration Open Science Framework (available at: https://osf.io/xvupr).
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Affiliation(s)
- Cathrine Axfors
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA,Department for Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
| | - Angelo Maria Pezzullo
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA,Section of Hygiene, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Despina G Contopoulos-Ioannidis
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA,Division of Infectious Diseases, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Alexandre Apostolatos
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA,Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - John PA Ioannidis
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA,Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, Stanford University, Stanford, California, USA
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6
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Pezzullo AM, Axfors C, Contopoulos-Ioannidis DG, Apostolatos A, Ioannidis JPA. Age-stratified infection fatality rate of COVID-19 in the non-elderly population. ENVIRONMENTAL RESEARCH 2023; 216:114655. [PMID: 36341800 PMCID: PMC9613797 DOI: 10.1016/j.envres.2022.114655] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 10/21/2022] [Accepted: 10/22/2022] [Indexed: 05/02/2023]
Abstract
The largest burden of COVID-19 is carried by the elderly, and persons living in nursing homes are particularly vulnerable. However, 94% of the global population is younger than 70 years and 86% is younger than 60 years. The objective of this study was to accurately estimate the infection fatality rate (IFR) of COVID-19 among non-elderly people in the absence of vaccination or prior infection. In systematic searches in SeroTracker and PubMed (protocol: https://osf.io/xvupr), we identified 40 eligible national seroprevalence studies covering 38 countries with pre-vaccination seroprevalence data. For 29 countries (24 high-income, 5 others), publicly available age-stratified COVID-19 death data and age-stratified seroprevalence information were available and were included in the primary analysis. The IFRs had a median of 0.034% (interquartile range (IQR) 0.013-0.056%) for the 0-59 years old population, and 0.095% (IQR 0.036-0.119%) for the 0-69 years old. The median IFR was 0.0003% at 0-19 years, 0.002% at 20-29 years, 0.011% at 30-39 years, 0.035% at 40-49 years, 0.123% at 50-59 years, and 0.506% at 60-69 years. IFR increases approximately 4 times every 10 years. Including data from another 9 countries with imputed age distribution of COVID-19 deaths yielded median IFR of 0.025-0.032% for 0-59 years and 0.063-0.082% for 0-69 years. Meta-regression analyses also suggested global IFR of 0.03% and 0.07%, respectively in these age groups. The current analysis suggests a much lower pre-vaccination IFR in non-elderly populations than previously suggested. Large differences did exist between countries and may reflect differences in comorbidities and other factors. These estimates provide a baseline from which to fathom further IFR declines with the widespread use of vaccination, prior infections, and evolution of new variants.
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Affiliation(s)
- Angelo Maria Pezzullo
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA; Sezione di Igiene, Dipartimento di Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Cathrine Axfors
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
| | - Despina G Contopoulos-Ioannidis
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA; Division of Infectious Diseases, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexandre Apostolatos
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA; Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - John P A Ioannidis
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA; Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, Stanford University, Stanford, CA, USA.
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SARS-CoV-2 herd immunity of the Kyrgyz population in 2021. Med Microbiol Immunol 2022; 211:195-210. [PMID: 35780233 DOI: 10.1007/s00430-022-00744-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 06/04/2022] [Indexed: 10/17/2022]
Abstract
In the fight against coronavirus infection, control of the immune response is of decisive importance, an important component of which is the seroprevalence of antibodies to SARS-CoV-2. Immunity to SARS-CoV-2 is formed either naturally or artificially through vaccination. The purpose of this study was to assess the seroprevalence of antibodies to SARS-CoV-2 in the population of Kyrgyzstan. A cross-sectional randomized study of seroprevalence was carried out according to a program developed by Rospotrebnadzor and the St. Petersburg Pasteur Institute, taking into account WHO recommendations. The ethics committees of the Association of Preventive Medicine (Kyrgyzstan) and the St. Petersburg Pasteur Institute (Russia) approved the study. Volunteers (9471) were recruited, representing 0.15% (95% CI 0.14-0.15) of the total population, randomized by age and region. Plasma antibodies (Abs) to the nucleocapsid antigen (Nag) were determined. In vaccinated individuals, Abs to the SARS-CoV-2 receptor-binding domain antigen (RBDag) were determined. Differences were considered statistically significant at p < 0.05. The SARS-CoV-2 Nag Ab seroprevalence was 48.7% (95% CI 47.7-49.7), with a maximum in the 60-69 age group [59.2% (95% CI 56.6-61.7)] and a minimum in group 1-17 years old [32.7% (95 CI: 29.4-36.1)]. The highest proportion of seropositive individuals was in the Naryn region [53.3% (95% CI 49.8-56.8)]. The lowest share was in Osh City [38.1% (95% CI 32.6-43.9)]. The maximum SARS-CoV-2 Nag seropositivity was found in the health-care sector [57.1% (95% CI 55.4-58.8)]; the minimum was seen among artists [38.6% (95% CI 26.0-52.4)]. Asymptomatic SARS-CoV-2 Nag seropositivity was 77.1% (95% CI 75.6-78.5). Vaccination with Sputnik V or Sinopharm produced comparable Ab seroprevalence. SARS-CoV-2 Nag seropositivity in the Kyrgyz population was 48.75% (95% CI 47.7-49.7), with the mass vaccination campaign undoubtedly benefitting the overall situation.
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Changes in Anti-SARS-CoV-2 IgG Subclasses over Time and in Association with Disease Severity. Viruses 2022; 14:v14050941. [PMID: 35632683 PMCID: PMC9143443 DOI: 10.3390/v14050941] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/26/2022] [Accepted: 04/27/2022] [Indexed: 12/14/2022] Open
Abstract
IgG is the most prominent marker of post-COVID-19 immunity. Not only does this subtype mark the late stages of infection, but it also stays in the body for a timespan of at least 6 months. However, different IgG subclasses have different properties, and their roles in specific anti-COVID-19 responses have yet to be determined. We assessed the concentrations of IgG1, IgG2, IgG3, and IgG4 against different SARS-CoV-2 antigens (N protein, S protein RBD) using a specifically designed method and samples from 348 COVID-19 patients. We noted a statistically significant association between severity of COVID-19 infection and IgG concentrations (both total and subclasses). When assessing anti-N protein and anti-RBD IgG subclasses, we noted the importance of IgG3 as a subclass. Since it is often associated with early antiviral response, we presumed that the IgG3 subclass is the first high-affinity IgG antibody to be produced during COVID-19 infection.
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9
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Smirnov VS, Lyalina LV, Milichkina AM, Khamitova IV, Zueva EV, Ivanov VA, Zaguzov VS, Totolian AA. Longitudinal Randomized Cohort Study of SARS-CoV-2 Antibody Seroprevalence in the St. Petersburg Population. Viruses 2022; 14:v14050913. [PMID: 35632653 PMCID: PMC9146723 DOI: 10.3390/v14050913] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/17/2022] [Accepted: 04/25/2022] [Indexed: 02/01/2023] Open
Abstract
Introduction. Since the detection of the first COVID-19 patient, 2 years have passed, during which more than 287,862,000 people have fallen ill globally, of which about 1.9% died. The implementation of SARS-CoV-2 control programs required efforts from almost all countries. An important direction in the fight against COVID-19 has been the formation of herd immunity, the main tool for managing the pandemic. Study goal. The aim of the study was to assess the seroprevalence of antibodies (Abs) to SARS-CoV-2 nucleocapsid (Nc) and receptor binding domain (RBD) in the St. Petersburg population during the COVID-19 pandemic. Materials and methods. A longitudinal cohort randomized monitoring study of Ab seroprevalence (SARS-CoV-2 Nc, RBD) was organized and conducted according to a unified methodology developed by Rospotrebnadzor with the participation of the St. Petersburg Pasteur Institute. For this purpose, a cohort was formed of 1000 volunteers who participated in all five stages of seromonitoring. The cohort was divided into seven age groups: 1−17; 18−29; 30−39; 40−49; 50−59; 60−69; 70; and older (70+) years. Seropositivity levels (Nc, RBD) were assessed by quantitative and qualitative enzyme immunoassays. During the second year of monitoring, some volunteers were vaccinated with the GamCOVIDVac (84%) or EpiVacCorona (11.6%) vaccines approved in Russia. Statistical processing was carried out using Excel 2010. Confidence intervals for shares and percentages (95% CI) were calculated using the method of A. Wald and J. Wolfowitz with adjustment (A. Agresti, B.A. Coull). The statistical significance of differences was calculated by z-test, using the appropriate online calculator (p < 0.05) unless indicated. Results. There was a trend toward an increase in Nc seropositivity in stages 1−3 of seromonitoring, with a decrease in stages 4−5 among children and adults. The share of RBD seropositive steadily increased during all five stages of seromonitoring. The most frequent finding was low anti-RBD Abs levels (22.6−220 BAU/mL). High Ab levels were recorded statistically significantly less frequently. Asymptomatic forms were observed in 84−88% of SARS-CoV-2 seropositive volunteers. By the fifth stage of monitoring, this indicator significantly decreased to 69.8% (95% CI: 66.1−73.4). The monitoring revealed a statistically significant increase in anti-RBD Abs alongside a statistically significant decrease in the proportion of Nc seropositives. This dynamic was especially characteristic of persons vaccinated with GamCOVIDVac. Conclusion. Prior to the use of specific vaccines, a seroprevalence of anti-Nc Abs was noted. After the introduction of the GamCOVIDVac vaccine in adults, a decrease in the level of anti-Nc Abs was noted due to an increase in the proportion of RBD seropositive persons.
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Semenova Y, Kalmatayeva Z, Oshibayeva A, Mamyrbekova S, Kudirbekova A, Nurbakyt A, Baizhaxynova A, Colet P, Glushkova N, Ivankov A, Sarria-Santamera A. Seropositivity of SARS-CoV-2 in the Population of Kazakhstan: A Nationwide Laboratory-Based Surveillance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042263. [PMID: 35206453 PMCID: PMC8872132 DOI: 10.3390/ijerph19042263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/02/2022] [Accepted: 01/21/2022] [Indexed: 02/01/2023]
Abstract
The data on seroprevalence of anti-SARS-CoV-2 antibodies in Kazakhstani population are non-existent, but are needed for planning of public health interventions targeted to COVID-19 containment. The aim of the study was to estimate the seropositivity of SARS-CoV-2 infection in the Kazakhstani population from 2020 to 2021. We relied on the data obtained from the results from “IN VITRO” laboratories of enzyme-linked immunosorbent assays for class G immunoglobulins (IgG) and class M (IgM) to SARS-CoV-2. The association of COVID-19 seropositivity was assessed in relation to age, gender, and region of residence. Additionally, we related the monitoring of longitudinal seropositivity with COVID-19 statistics obtained from Our World in Data. The total numbers of tests were 68,732 for SARS-CoV-2 IgM and 85,346 for IgG, of which 22% and 63% were positive, respectively. The highest rates of positive anti-SARS-CoV-2 IgM results were seen during July/August 2020. The rate of IgM seropositivity was the lowest on 25 October 2020 (2%). The lowest daily rate of anti-SARS-CoV-2 IgG was 17% (13 December 2020), while the peak of IgG seropositivity was seen on 6 June 2021 (84%). A longitudinal serological study should be envisaged to facilitate understanding of the dynamics of the epidemiological situation and to forecast future scenarios.
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Affiliation(s)
- Yuliya Semenova
- Department of Neurology, Ophthalmology and Otolaryngology, Semey Medical University, Semey 071400, Kazakhstan;
| | - Zhanna Kalmatayeva
- School of Medicine, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan; (Z.K.); (S.M.); (N.G.)
| | - Ainash Oshibayeva
- Administrative Office, Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan 161204, Kazakhstan;
| | - Saltanat Mamyrbekova
- School of Medicine, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan; (Z.K.); (S.M.); (N.G.)
| | - Aynura Kudirbekova
- Invitro-Kazakhstan Laboratory, Medical Department, Almaty 050000, Kazakhstan;
| | - Ardak Nurbakyt
- Department of Public Health, Asfendiyarov Kazakh National Medical University, Almaty 050012, Kazakhstan;
| | - Ardak Baizhaxynova
- Department of Medicine, Nazarbayev University School of Medicine, Nur-Sultan 020000, Kazakhstan; (A.B.); (P.C.)
| | - Paolo Colet
- Department of Medicine, Nazarbayev University School of Medicine, Nur-Sultan 020000, Kazakhstan; (A.B.); (P.C.)
| | - Natalya Glushkova
- School of Medicine, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan; (Z.K.); (S.M.); (N.G.)
| | | | - Antonio Sarria-Santamera
- Department of Medicine, Nazarbayev University School of Medicine, Nur-Sultan 020000, Kazakhstan; (A.B.); (P.C.)
- Correspondence:
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11
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García-García E, Rodríguez-Pérez M, Pérez-Solís D, Pérez-Méndez C, Molinos-Norniella C, Cobo-Ruisánchez Á, Fernández Fernández EM, González NG, Calle-Miguel L. Variation in SARS-CoV-2 seroprevalence in children in the region of Asturias, Northern Spain. World J Pediatr 2022; 18:835-844. [PMID: 36169886 PMCID: PMC9514983 DOI: 10.1007/s12519-022-00617-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/28/2022] [Indexed: 12/02/2022]
Abstract
BACKGROUND Updated seroprevalence estimates are important to describe the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) landscape and to guide public health decisions. The aims are to describe longitudinal changes in seroprevalence in children in a region in Northern Spain and to analyze factors associated with SARS-CoV-2 seropositivity. METHODS Prospective multicenter longitudinal study with subjects recruited from July to September 2020. Children (up to 14 years old) were included and followed up until September 2021. Venous blood samples were collected every six months during three testing rounds and were analyzed for SARS-CoV-2 antibodies. The data regarding epidemiological features, contact tracing, symptoms, and virological tests were collected. The evolution of SARS-CoV-2 seroprevalence during the study and the differences between children with positive and negative SARS-CoV-2 antibody tests were analyzed. RESULTS Two hundred children were recruited (50.5% girls, median age 9.7 years). The overall seroprevalence increased from round 1 [1.5%, 95% confidence interval (CI) 0.3%-4.3%] to round 2 (9.1%, 95% CI 4.6%-12.7%) and round 3 (16.6%, 95% CI 9.5%-19.6%) (P < 0.001). Main changes occurred in children aged zero to four years (P = 0.001) who lived in urban areas (P < 0.001). None of the children who were previously positive became seronegative. Following multivariable analysis, three variables independently associated with SARS-CoV-2 seropositivity were identified: close contact with coronavirus disease 2019 (COVID-19) confirmed or suspected cases [odds ratio (OR) = 3.9, 95% CI 1.2-12.5], previous positive virological test (OR = 17.1, 95% CI 3.7-78.3) and fatigue (OR = 18.1, 95% CI 1.7-193.4). CONCLUSIONS SARS-CoV-2 seroprevalence in children has remarkably increased during the time of our study. Fatigue was the only COVID-19-compatible symptom that was more frequent in seropositive than in seronegative children.
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Affiliation(s)
- Elisa García-García
- Pediatrics Department, Centro de Salud Laviada, Calle Juanín de Mieres, 8, 33207, Gijón, Spain.
| | | | - David Pérez-Solís
- Pediatrics Department, Hospital Universitario San Agustín, Avilés, Spain
| | | | | | - Ángeles Cobo-Ruisánchez
- Pediatrics Department, Centro de Salud Laviada, Calle Juanín de Mieres, 8, 33207, Gijón, Spain
| | | | | | - Laura Calle-Miguel
- Pediatrics Department, Hospital Universitario Central de Asturias, Oviedo, Spain
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12
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Popova AY, Ezhlova EB, Melnikova AA, Smirnov VS, Lyalina LV, Ermakov AV, Solomashchenko NI, Kovalchuk IV, Vasilenko EA, Romanenko EN, Zvoliborskaya AV, Ryabykh AV, Dmitrienko LI, Mezhlumyan NA, Sharova AA, Vetrov VV, Totolian AA. Characteristic of herd immunity among the population of Stavropol region amid the COVID-19 epidemic. JOURNAL INFECTOLOGY 2021. [DOI: 10.22625/2072-6732-2021-13-4-79-89] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Introduction. The first pandemic in the 21st century, caused by the pathogenic representative of the coronavirus SARS-CoV-2, began in the Chinese city of Wuhan, where the first outbreak of coronavirus pneumonia was recorded in December 2019. The disease spread so quickly around the world that already on February 11, 2020, WHO was forced to declare a pandemic of the “coronavirus disease 2019” COVID-19. The first case of COVID-19 in the Stavropol Territory was registered on March 20, 2020, and three weeks later, starting from the 15th week of the year, a steady increase in the incidence began, which lasted until the 52nd week. During the study period, the incidence increased from 21.1 to 28.3 per hundred thousand of the population. Growth 1.3 times.Purpose: to determine the dynamics of population immunity among the population of the Stavropol Territory in 2020-2021. during the period of an epidemic increase in the incidence of COVID-19. Materials and methods. The SARS-CoV-2 study was carried out according to a unified methodology within the framework of the program for assessing the population immunity of the population of the Russian Federation, developed by Rospotrebnadzor with the participation of the St. Pasteur. In total, 2688 people were examined, divided into 7 age groups. In the examined individuals, the level of specific IgG to the SARS-CoV-2 nucleocapsid was determined by the enzyme immunoassay.Results. The level of seroprevalence among residents of the Stavropol Territory was 9.8%. The largest proportion of seropositive individuals was found in the age groups 1-6 and 7-13 years old (19.2% and 19.7%, respectively). Seroprevalence had no gender differences and ranged from 9.3% to 10.8%. When assessing the distribution of the proportion of seropositive persons in different geographic territories of the region, it was found that the maximum proportion was found in the Kochubeevsky district (23.1%), the minimum in Kislovodsk (7.7%). Among convalescents, the content of specific antibodies to SARS-CoV-2 was noted in 73.3%, which is 7.8 times higher than the average population level. When conducting seromonitoring in the 2nd half of 2020, a 10-fold increase in seroprevalence was recorded, accompanied by a decrease in incidence from the 5th week of 2021. Among asymptomatic volunteers in whom SARS-CoV-2 RNA was detected by the polymerase chain reaction, antibody titers to viruses were found in 78.6%, which corresponds to the seroprevalence of convalescents. The proportion of seropositive persons among those who have come into contact with COVID-19 patients was 16.4%, (1.8 times higher than the average for the population). Out of 262 seroprevalent volunteers, the asymptomatic form of SARS-CoV-2 was detected in 92% of the examined, which indicates a significant role of the number of asymptomatic forms of infection in the epidemic process of COVID-19.Conclusion. The results of assessing the population immunity of the population of the Stavropol Territory indicate that it has not yet reached the threshold level at which a decrease in the intensity of the COVID-19 epidemic process can be expected.
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Affiliation(s)
- A. Yu. Popova
- Federal Service for Supervision of Consumer Rights Protection and Human Wellbeing
| | - E. B. Ezhlova
- Federal Service for Supervision of Consumer Rights Protection and Human Wellbeing
| | - A. A. Melnikova
- Federal Service for Supervision of Consumer Rights Protection and Human Wellbeing
| | - V. S. Smirnov
- Saint-Petersburg Research Institute of Epidemiology and Microbiology named after Pasteur
| | - L. V. Lyalina
- Saint-Petersburg Research Institute of Epidemiology and Microbiology named after Pasteur
| | - A. V. Ermakov
- Federal Service for Supervision of Consumer Rights Protection and Human Wellbeing, Department in the Stavropol Territory
| | | | - I. V. Kovalchuk
- Federal Service for Supervision of Consumer Rights Protection and Human Wellbeing, Department in the Stavropol Territory
| | - E. A. Vasilenko
- Center for Hygiene and Epidemiology in the Stavropol Territory
| | - E. N. Romanenko
- Center for Hygiene and Epidemiology in the Stavropol Territory
| | | | - A. V. Ryabykh
- Center for Hygiene and Epidemiology in the Stavropol Territory
| | | | | | - A. A. Sharova
- Saint-Petersburg Research Institute of Epidemiology and Microbiology named after Pasteur
| | - V. V. Vetrov
- Saint-Petersburg Research Institute of Epidemiology and Microbiology named after Pasteur
| | - A. A. Totolian
- Saint-Petersburg Research Institute of Epidemiology and Microbiology named after Pasteur
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13
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Popova AY, Tarasenko AA, Smolensky VY, Egorova SA, Smirnov VS, Dashkevich AM, Svetogor TN, Glinskaya IN, Skuranovich AL, Milichkina AM, Dronina AM, Samoilovich EO, Khamitova IV, Semeiko GV, Amvrosyeva TV, Shmeleva NP, Rubanik LV, Esmanchik OP, Karaban IA, Drobyshevskaya VG, Sadovnikova GV, Shilovich MV, Podushkina EA, Kireichuk VV, Petrova OA, Bondarenko SV, Salazhkova IF, Tkach LM, Shepelevich LP, Autukhova NL, Ivanov VM, Babilo AS, Navyshnaya MV, Belyaev NN, Zueva EV, Volosar LA, Verbov VN, Likhachev IV, Zagorskaya TO, Morozova NF, Korobova ZR, Gubanova AV, Totolian AA. Herd immunity to SARS-CoV-2 among the population of the Republic of Belarus amid the COVID-19 pandemic. RUSSIAN JOURNAL OF INFECTION AND IMMUNITY 2021. [DOI: 10.15789/2220-7619-hit-1798] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
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 (R0) 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.
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Popova AY, Totolian AA. Methodology for assessing herd immunity to the SARS-CoV-2 virus in the context of the COVID-19 pandemic. RUSSIAN JOURNAL OF INFECTION AND IMMUNITY 2021. [DOI: 10.15789/2220-7619-mfa-1770] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Serological monitoring of the study of population immunity to the SARS-CoV-2 virus in the context of COVID-19 pandemic is a necessary component in epidemiological surveillance, since population epidemiological wellbeing in a context of COVID-19 is determined by state of population immunity to the SARS-CoV-2 virus. The population herd immunity is the limiting factor in spread of the SARS-CoV-2 virus. Information on the state of population immunity is necessary to make a forecast for development of epidemiological situation, as well as to plan measures for specific and non-specific prevention of COVID-19. In this regard, the study of population immunity during the pandemic is necessary to predict development of the epidemic and identify features of epidemic process in any certain region and in the country in general. In May 2020, the Rospotrebnadzor program “Assessment of population immunity to the SARS-CoV-2 virus in the population of the Russian Federation in the context of the COVID-19 pandemic” was developed taking into account WHO recommendations in the format of a longitudinal cohort study with age stratification: at the first stage, a cohort of volunteers is formed; at the second and subsequent stages, the cohort of volunteers formed at the first stage is subject to examination; the number of stages depends on the epidemiological situation. In addition to age-related randomization while forming a cohort, at the first stage, the principle of population coverage uniformity was observed, the participation of volunteers from one institution was excluded, and the use of donated blood or patient blood from medical organizations was excluded. The survey was carried out among 7 age groups of healthy children and adults, regardless present or absent previous COVID-19 disease. Due to the fact that the population study is carried out in the context of COVID-19 pandemic, the optimal timing for collecting biomaterial at each stage is no more than 5–7 days. Questioning, selection of volunteers, their registration for blood donation, as well as processing of the results at the first stage, as well as the implementation of the second and subsequent stages of the Program are carried out only by using cloud service technology. This Program and the technology for its implementation have been successfully tested in 26 regions of the Russian Federation during the implementation of four stages from June 2020 to March 2021. Thus, at present, Rospotrebnadzor has developed a methodology and created an effectively working system of serological monitoring to assess level of herd immunity in different regions of the Russian Federation to predict the epidemiological situation, develop recommendations, and plan vaccination.
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