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Livieratos A, Gogos C, Akinosoglou K. Impact of Prior COVID-19 Immunization and/or Prior Infection on Immune Responses and Clinical Outcomes. Viruses 2024; 16:685. [PMID: 38793566 PMCID: PMC11125779 DOI: 10.3390/v16050685] [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: 04/01/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/26/2024] Open
Abstract
Cellular and humoral immunity exhibit dynamic adaptation to the mutating SARS-CoV-2 virus. It is noteworthy that immune responses differ significantly, influenced by whether a patient has received vaccination or whether there is co-occurrence of naturally acquired and vaccine-induced immunity, known as hybrid immunity. The different immune reactions, conditional on vaccination status and the viral variant involved, bear implications for inflammatory responses, patient outcomes, pathogen transmission rates, and lingering post-COVID conditions. Considering these developments, we have performed a review of recently published literature, aiming to disentangle the intricate relationships among immunological profiles, transmission, the long-term health effects post-COVID infection poses, and the resultant clinical manifestations. This investigation is directed toward understanding the variability in the longevity and potency of cellular and humoral immune responses elicited by immunization and hybrid infection.
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Affiliation(s)
| | - Charalambos Gogos
- Department of Medicine, University of Patras, 26504 Rio, Greece; (C.G.); (K.A.)
| | - Karolina Akinosoglou
- Department of Medicine, University of Patras, 26504 Rio, Greece; (C.G.); (K.A.)
- Department of Internal Medicine and Infectious Diseases, University General Hospital of Patras, 26504 Rio, Greece
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2
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Hvidt AK, Guo H, Andersen R, Lende SSF, Vibholm LK, Søgaard OS, Schleimann MH, Russell V, Cheung AMW, Paramithiotis E, Olesen R, Tolstrup M. Long-term humoral and cellular immunity after primary SARS-CoV-2 infection: a 20-month longitudinal study. BMC Immunol 2023; 24:45. [PMID: 37974069 PMCID: PMC10652616 DOI: 10.1186/s12865-023-00583-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND SARS-CoV-2 remains a world-wide health issue. SARS-CoV-2-specific immunity is induced upon both infection and vaccination. However, defining the long-term immune trajectory, especially after infection, is limited. In this study, we aimed to further the understanding of long-term SARS-CoV-2-specific immune response after infection. RESULTS We conducted a longitudinal cohort study among 93 SARS-CoV-2 recovered individuals. Immune responses were continuously monitored for up to 20 months after infection. The humoral responses were quantified by Spike- and Nucleocapsid-specific IgG levels. T cell responses to Spike- and non-Spike epitopes were examined using both intercellular cytokine staining (ICS) assay and Activation-Induced marker (AIM) assay with quantification of antigen-specific IFNγ production. During the 20 months follow-up period, Nucleocapsid-specific antibody levels and non-Spike-specific CD4 + and CD8 + T cell frequencies decreased in the blood. However, a majority of participants maintained a durable immune responses 20 months after infection: 59% of the participants were seropositive for Nucleocapsid-specific IgG, and more than 70% had persisting non-Spike-specific T cells. The Spike-specific response initially decreased but as participants were vaccinated against COVID-19, Spike-specific IgG levels and T cell frequencies were boosted reaching similar or higher levels compared to 1 month post-infection. The trajectory of infection-induced SARS-CoV-2-specific immunity decreases, but for the majority of participants it persists beyond 20 months. The T cell response displays a greater durability. Vaccination boosts Spike-specific immune responses to similar or higher levels as seen after primary infection. CONCLUSIONS For most participants, the response persists 20 months after infection, and the cellular response appears to be more long-lived compared to the circulating antibody levels. Vaccination boosts the S-specific response but does not affect the non-S-specific response. Together, these findings support the understanding of immune contraction, and with studies showing the immune levels required for protection, adds to the knowledge of durability of protection against future SARS-CoV-2.
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Affiliation(s)
- Astrid Korning Hvidt
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Rebecca Andersen
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Stine Sofie Frank Lende
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Line Khalidan Vibholm
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Ole Schmeltz Søgaard
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Marianne Hoegsbjerg Schleimann
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Victoria Russell
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
| | - Angela Man-Wei Cheung
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Department of Medicine, University Health Network, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | | | - Rikke Olesen
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Martin Tolstrup
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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3
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López EP, González S, Sánchez M. Educational intervention for the main caregiver of primiparous women to promote breastfeeding and the association between prolactin and nutritional parameters. J Glob Health 2023; 13:04046. [PMID: 37083003 PMCID: PMC10119807 DOI: 10.7189/jogh.13.04046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023] Open
Abstract
Background In the last two years, breastfeeding rates have experienced a notable decline worldwide. Only 46% of women breastfeed their children, the figure being much lower in primiparous women. Breastfed milk is the ideal food for babies; its benefits for the health of mothers and babies are scientifically proven. Several studies show that babies who are not breastfed have a higher risk of getting sick. This fact gives rise to an important public health problem. The aim of this paper is to describe the association between presence of the caregiver in health education and increasing rates of breastfeeding. Methods We conducted an observational study (cohort) in a population of primiparous pregnant women (n = 88), and their main caregivers belonging to a region of central Spain. The development, content and implementation of the intervention consisted of: 1) obtaining the blood levels of pregnant women (prolactin, folic acid, vitamin B12 and transferrin) before health education (13-26 weeks of pregnancy), 2) carry out health education with two groups: A (44 pregnant women with caregivers) and B (44 without caregivers), 3) obtain the same blood levels as in the first intervention, 15 days after delivery, and finally the evaluation of the intervention with breastfeeding rates. Results The levels of prolactin (288.57 ± 107.46 nanogrammes per millilitre (ng / ml)), folic acid (16.93 ± 4.09 ng / ml), vitamin B12 (505.05 ± 213.97 picogrammes (pg) / ml) and transferrin (296.82 ± 67.61 milligrammmes per decilitre (mg / dl)) were higher in pregnant women who attended the health education program with a caregiver than in pregnant women who attended alone: prolcoactin (103.61 ± 45.48 ng / ml), folic acid (7.16 ± 5.88 ng / ml), vitamin B12 (160.59 ± 36.92 pg / ml) and transferrin (223.86 ± 44.14 mg / dl). Of the sample size of 44 primiparous people who attended the talks with caregivers, 35 (79.54%) breastfed their babies, while the other 44 primiparous women who attended alone, only seven (15.91%) established breastfeeding successfully. Conclusions The implications for public health research are that the presence of a caregiver in health education programs modifies levels of prolactin, folic acid, vitamin B12, and transferrin, as well as increasing breastfeeding rates.
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Affiliation(s)
- Eva Pilar López
- Doctoral School in translational Medicine San Pablo CEU University, Madrid, Spain
| | - Sergio González
- Department of Nursing, Santa Teresa de Jesus, Catholic University, Avila, Spain
| | - Mercedes Sánchez
- Department of Preventive Medicine and Public Health, Santa Teresa de Jesus, Catholic University, Avila, Spain
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4
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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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5
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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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6
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Decarreaux D, Sevila J, Masse S, Capai L, Fourié T, Villarroel PMS, Amroun A, Nurtop E, Vareille M, Blanchon T, de Lamballerie X, Charrel R, Falchi A. Eight Months of Serological Follow-Up of Anti-SARS-CoV-2 Antibodies in France: A Study among an Adult Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15257. [PMID: 36429974 PMCID: PMC9691066 DOI: 10.3390/ijerph192215257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/10/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Uncertainties remain regarding the nature and durability of the humoral immune response to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). AIM This study investigated immunoglobulin G response and neutralizing activity to evaluate the mean antibody concentrations and response duration induced by each vaccination regimen in a French adult population. METHODS A study including blood sampling and questionnaires was carried out from November 2020 to July 2021 with three separate follow-up phases. Spike proteins and neutralizing antibodies were quantified using ELISA and a virus-neutralization test. RESULTS Overall, 295 participants were included. Seroprevalences were 11.5% (n = 34), 10.5% (n = 31), and 68.1% (n = 201) in phases 1, 2, and 3, respectively. Importantly, 5.8% (n = 17) of participants lost their natural antibodies. Antibody response of participants with only a prior infection was 88.2 BAU/mL, significantly lower than those vaccinated, which was 1909.3 BAU/mL (p = 0.04). Moreover, the antibody response of vaccinated participants with a prior infection was higher (3593.8 BAU/mL) than those vaccinated without prior infection (3402.9 BAU/mL) (p = 0.78). Vaccinated participants with or without prior infection had a higher seroneutralization rate (91.0%) than those unvaccinated with prior infection (65.0%). CONCLUSION These results demonstrated that single infection does not confer effective protection against SARS-CoV-2.
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Affiliation(s)
- Dorine Decarreaux
- Laboratoire de Virologie, Université de Corse Pascal Paoli, UR7310 Bioscope, 20250 Corte, France
- INSERM, Sorbonne Université, Institut Pierre Louis d’Epidémiologie et de Santé Publique, IPLESP, 75012 Paris, France
- Unité des Virus émergents, Aix Marseille University, IRD 190, INSERM U1207, IHU Méditerranée Infection, 13005 Marseille, France
| | - Julie Sevila
- Laboratoire de Virologie, Université de Corse Pascal Paoli, UR7310 Bioscope, 20250 Corte, France
| | - Shirley Masse
- Laboratoire de Virologie, Université de Corse Pascal Paoli, UR7310 Bioscope, 20250 Corte, France
| | - Lisandru Capai
- Laboratoire de Virologie, Université de Corse Pascal Paoli, UR7310 Bioscope, 20250 Corte, France
| | - Toscane Fourié
- Unité des Virus émergents, Aix Marseille University, IRD 190, INSERM U1207, IHU Méditerranée Infection, 13005 Marseille, France
| | - Paola Mariela Saba Villarroel
- Unité des Virus émergents, Aix Marseille University, IRD 190, INSERM U1207, IHU Méditerranée Infection, 13005 Marseille, France
| | - Abdennour Amroun
- Unité des Virus émergents, Aix Marseille University, IRD 190, INSERM U1207, IHU Méditerranée Infection, 13005 Marseille, France
| | - Elif Nurtop
- Unité des Virus émergents, Aix Marseille University, IRD 190, INSERM U1207, IHU Méditerranée Infection, 13005 Marseille, France
| | - Matthieu Vareille
- Laboratoire de Virologie, Université de Corse Pascal Paoli, UR7310 Bioscope, 20250 Corte, France
| | - Thierry Blanchon
- INSERM, Sorbonne Université, Institut Pierre Louis d’Epidémiologie et de Santé Publique, IPLESP, 75012 Paris, France
| | - Xavier de Lamballerie
- Unité des Virus émergents, Aix Marseille University, IRD 190, INSERM U1207, IHU Méditerranée Infection, 13005 Marseille, France
| | - Remi Charrel
- Unité des Virus émergents, Aix Marseille University, IRD 190, INSERM U1207, IHU Méditerranée Infection, 13005 Marseille, France
| | - Alessandra Falchi
- Laboratoire de Virologie, Université de Corse Pascal Paoli, UR7310 Bioscope, 20250 Corte, France
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7
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Balck A, Föh B, Borsche M, Rahmöller J, Vollstedt EJ, Waldeck F, Käding N, Twesten C, Mischnik A, Gillessen-Kaesbach G, Ehlers M, Sina C, Taube S, Busch H, Rupp J, Katalinic A, Klein C. Protocol of the Luebeck longitudinal investigation of SARS-CoV-2 infection (ELISA) study - a prospective population-based cohort study. BMC Public Health 2022; 22:1305. [PMID: 35799167 PMCID: PMC9261226 DOI: 10.1186/s12889-022-13666-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 06/03/2022] [Indexed: 11/23/2022] Open
Abstract
Background Considering the insufficiently controlled spread of new SARS-CoV-2 variants, partially low vaccination rates, and increased risk of a post-COVID syndrome, well-functioning, targeted intervention measures at local and national levels are urgently needed to contain the SARS-CoV-2 pandemic. Surveillance concepts (cross-sectional, cohorts, clusters) need to be carefully selected to monitor and assess incidence and prevalence at the population level. A critical methodological gap for identifying specific risks/dynamics for SARS-Cov-2 transmission and post-COVID-19-syndrome includes repetitive testing for past or present infection of a defined cohort with simultaneous assessment of symptoms, behavior, risk, and protective factors, as well as quality of life. Methods The ELISA-Study is a longitudinal, prospective surveillance study with a cohort approach launched in Luebeck in April 2020. The first part comprised regular PCR testing, antibody measurements, and a recurrent App-based questionnaire for a population-based cohort of 3000 inhabitants of Luebeck. The follow-up study protocol includes self-testing for antibodies and PCR testing for a subset of the participants, focusing on studying immunity after vaccination and/or infection and post-COVID-19 symptoms. Discussion The ELISA cohort and our follow-up study protocol will enable us to study the effects of a sharp increase of SARS-CoV-2 infections on seroprevalence of Anti-SARS-CoV-2 antibodies, post-COVID-19-symptoms, and possible medical, occupational, and behavioral risk factors. We will be able to monitor the pandemic continuously and discover potential sequelae of an infection long-term. Further examinations can be readily set up on an ad-hoc basis in the future. Our study protocol can be adapted to other regions and settings and is transferable to other infectious diseases. Trial registration DRKS.de, German Clinical Trials Register (DRKS), Identifier: DRKS00023418, Registered on 28 October 2020. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13666-z.
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Affiliation(s)
- Alexander Balck
- Institute of Neurogenetics, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany.,Department of Neurology, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Bandik Föh
- Institute of Nutritional Medicine, University of Lübeck, Lübeck, Germany.,Department of Medicine I, University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Max Borsche
- Institute of Neurogenetics, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany.,Department of Neurology, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Johann Rahmöller
- Institute of Nutritional Medicine, University of Lübeck, Lübeck, Germany.,Department of Anesthesiology and Intensive Care, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Eva-Juliane Vollstedt
- Institute of Neurogenetics, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany
| | - Frederike Waldeck
- Department of Infectious Diseases and Microbiology, University of Lübeck and University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Nadja Käding
- Department of Infectious Diseases and Microbiology, University of Lübeck and University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | | | | | | | - Marc Ehlers
- Institute of Nutritional Medicine, University of Lübeck, Lübeck, Germany
| | - Christian Sina
- Institute of Nutritional Medicine, University of Lübeck, Lübeck, Germany
| | - Stefan Taube
- Institute of Virology and Cell Biology, University of Lübeck, Lübeck, Germany
| | - Hauke Busch
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
| | - Jan Rupp
- Department of Infectious Diseases and Microbiology, University of Lübeck and University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Alexander Katalinic
- Institute of Social Medicine and Epidemiology, University of Lübeck, Lübeck, Germany
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany.
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8
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Grenfell RFQ, Almeida NBF, Filgueiras PS, Corsini CA, Gomes SVC, de Miranda DAP, Lourenço AJ, Martins-Filho OA, de Oliveira JG, Teixeira-Carvalho A, Campos GRF, Nogueira ML, Alves PA, Fernandes GR, Castilho LR, Lima TM, de Abreu DPB, Alvim RGF, Silva TBDS, Jeremias WDJ, Otta DA, Campi-Azevedo AC. Immunogenicity, Effectiveness, and Safety of Inactivated Virus (CoronaVac) Vaccine in a Two-Dose Primary Protocol and BNT162b2 Heterologous Booster in Brazil (Immunita-001): A One Year Period Follow Up Phase 4 Study. Front Immunol 2022; 13:918896. [PMID: 35757764 PMCID: PMC9218743 DOI: 10.3389/fimmu.2022.918896] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/09/2022] [Indexed: 12/30/2022] Open
Abstract
Background Effective and safe vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are critical to controlling the COVID-19 pandemic and will remain the most important tool in limiting the spread of the virus long after the pandemic is over. Methods We bring pioneering contributions on the maintenance of the immune response over a year on a real-life basis study in 1,587 individuals (18-90 yrs, median 39 yrs; 1,208 female/379 male) who underwent vaccination with two doses of CoronaVac and BNT162b2 booster after 6-months of primary protocol. Findings Elevated levels of anti-spike IgG antibodies were detected after CoronaVac vaccination, which significantly decreased after 80 days and remained stable until the introduction of the booster dose. Heterologous booster restored antibody titers up to-1·7-fold, changing overall seropositivity to 96%. Titers of neutralising antibodies to the Omicron variant were lower in all timepoints than those against Delta variant. Individuals presenting neutralising antibodies against Omicron also presented the highest titers against Delta and anti-Spike IgG. Cellular immune response measurement pointed out a mixed immune profile with a robust release of chemokines, cytokines, and growth factors on the first month after CoronaVac vaccination followed by a gradual reduction over time and no increase after the booster dose. A stronger interaction between those mediators was noted over time. Prior exposure to the virus leaded to a more robust cellular immune response and a rise in antibody levels 60 days post CoronaVac than in individuals with no previous COVID-19. Both vaccines were safe and well tolerated among individuals. Interpretation Our data approach the effectiveness of CoronaVac association with BNT162b2 from the clinical and biological perspectives, aspects that have important implications for informing decisions about vaccine boosters. Funding Fiocruz, Brazil.
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Affiliation(s)
- Rafaella F Q Grenfell
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil.,Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States
| | - Nathalie B F Almeida
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil.,Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States
| | - Priscilla S Filgueiras
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Camila A Corsini
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Sarah V C Gomes
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Daniel A P de Miranda
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Adelina J Lourenço
- Hospital da Baleia, Benjamin Guimarães Foundation, Belo Horizonte, Brazil
| | - Olindo A Martins-Filho
- Grupo Integrado de Pesquisa em Biomarcadores, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Jaquelline G de Oliveira
- Laboratório de Imunologia Celular e Molecular, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Andrea Teixeira-Carvalho
- Grupo Integrado de Pesquisa em Biomarcadores, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Guilherme R F Campos
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP)São José do Rio Preto, São José do Rio Preto, Brazil
| | - Mauricio L Nogueira
- Laboratório de Pesquisas em Virologia (LPV), Faculdade de Medicina de São José do Rio Preto (FAMERP)São José do Rio Preto, São José do Rio Preto, Brazil.,Hospital de Base, São José do Rio Preto, Brazil.,Department of Pathology, University of Texas Medical Branch, Galveston, TX, United States
| | - Pedro Augusto Alves
- Imunologia de Doenças Virais, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Gabriel R Fernandes
- Diagnosis and Therapy of Infectious Diseases and Cancer, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil.,Biosystems Informatics, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
| | - Leda R Castilho
- Cell Culture Engineering Laboratory (COPPE), Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Tulio M Lima
- Cell Culture Engineering Laboratory (COPPE), Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Daniel P B de Abreu
- Cell Culture Engineering Laboratory (COPPE), Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Renata G F Alvim
- Cell Culture Engineering Laboratory (COPPE), Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Wander de J Jeremias
- Laboratório de farmacologia experimental, College of Pharmacy, Universidade Federal de Ouro Preto, Ouro Preto, Brazil
| | - Dayane A Otta
- Grupo Integrado de Pesquisa em Biomarcadores, Oswaldo Cruz Foundation (Fiocruz), Belo Horizonte, Brazil
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9
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Einhauser S, Peterhoff D, Beileke S, Günther F, Niller HH, Steininger P, Knöll A, Korn K, Berr M, Schütz A, Wiegrebe S, Stark KJ, Gessner A, Burkhardt R, Kabesch M, Schedl H, Küchenhoff H, Pfahlberg AB, Heid IM, Gefeller O, Überla K, Wagner R. Time Trend in SARS-CoV-2 Seropositivity, Surveillance Detection- and Infection Fatality Ratio until Spring 2021 in the Tirschenreuth County-Results from a Population-Based Longitudinal Study in Germany. Viruses 2022; 14:v14061168. [PMID: 35746640 PMCID: PMC9228731 DOI: 10.3390/v14061168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/20/2022] [Accepted: 05/24/2022] [Indexed: 12/02/2022] Open
Abstract
Herein, we provide results from a prospective population-based longitudinal follow-up (FU) SARS-CoV-2 serosurveillance study in Tirschenreuth, the county which was hit hardest in Germany in spring 2020 and early 2021. Of 4203 individuals aged 14 years or older enrolled at baseline (BL, June 2020), 3546 participated at FU1 (November 2020) and 3391 at FU2 (April 2021). Key metrics comprising standardized seroprevalence, surveillance detection ratio (SDR), infection fatality ratio (IFR) and success of the vaccination campaign were derived using the Roche N- and S-Elecsys anti-SARS-CoV-2 test together with a self-administered questionnaire. N-seropositivity at BL was 9.2% (1st wave). While we observed a low new seropositivity between BL and FU1 (0.9%), the combined 2nd and 3rd wave accounted for 6.1% new N-seropositives between FU1 and FU2 (ever seropositives at FU2: 15.4%). The SDR decreased from 5.4 (BL) to 1.1 (FU2) highlighting the success of massively increased testing in the population. The IFR based on a combination of serology and registration data resulted in 3.3% between November 2020 and April 2021 compared to 2.3% until June 2020. Although IFRs were consistently higher at FU2 compared to BL across age-groups, highest among individuals aged 70+ (18.3% versus 10.7%, respectively), observed differences were within statistical uncertainty bounds. While municipalities with senior care homes showed a higher IFR at BL (3.0% with senior care home vs. 0.7% w/o), this effect diminished at FU2 (3.4% vs. 2.9%). In April 2021 (FU2), vaccination rate in the elderly was high (>77.4%, age-group 80+).
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Affiliation(s)
- Sebastian Einhauser
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
| | - David Peterhoff
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany
| | - Stephanie Beileke
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
| | - Felix Günther
- Department of Mathematics, Stockholm University, Kräftriket 6, 106 91 Stockholm, Sweden;
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.W.); (K.J.S.); (I.M.H.)
| | - Hans-Helmut Niller
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
| | - Philipp Steininger
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
| | - Antje Knöll
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
| | - Klaus Korn
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
| | - Melanie Berr
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
| | - Anja Schütz
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
| | - Simon Wiegrebe
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.W.); (K.J.S.); (I.M.H.)
| | - Klaus J. Stark
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.W.); (K.J.S.); (I.M.H.)
| | - André Gessner
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany
| | - Ralph Burkhardt
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany;
| | - Michael Kabesch
- University Children’s Hospital Regensburg (KUNO) at the Hospital St. Hedwig of the Order of St. John, University of Regensburg, Steinmetzstraße 1-3, 93049 Regensburg, Germany;
| | - Holger Schedl
- Bayerisches Rotes Kreuz, Kreisverband Tirschenreuth, Egerstraße 21, 95643 Tirschenreuth, Germany;
| | - Helmut Küchenhoff
- Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Geschwister-Scholl-Platz 1, 80539 Munich, Germany;
| | - Annette B. Pfahlberg
- Department of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Waldstr. 6, 91054 Erlangen, Germany; (A.B.P.); (O.G.)
| | - Iris M. Heid
- Department of Genetic Epidemiology, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.W.); (K.J.S.); (I.M.H.)
| | - Olaf Gefeller
- Department of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Waldstr. 6, 91054 Erlangen, Germany; (A.B.P.); (O.G.)
| | - Klaus Überla
- Institute of Clinical and Molecular Virology, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Schlossgarten 4, 91054 Erlangen, Germany; (S.B.); (P.S.); (A.K.); (K.K.)
- Correspondence: (K.Ü.); (R.W.); Tel.: +49-9131-85-23563 (K.Ü.); +49-941-944-6452 (R.W.)
| | - Ralf Wagner
- Institute of Medical Microbiology and Hygiene, Molecular Microbiology (Virology), University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany; (S.E.); (D.P.); (H.-H.N.); (M.B.); (A.S.); (A.G.)
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany
- Correspondence: (K.Ü.); (R.W.); Tel.: +49-9131-85-23563 (K.Ü.); +49-941-944-6452 (R.W.)
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10
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Prevalence of Anti-SARS-CoV-2 Antibodies and Potential Determinants among the Belgian Adult Population: Baseline Results of a Prospective Cohort Study. Viruses 2022; 14:v14050920. [PMID: 35632663 PMCID: PMC9147735 DOI: 10.3390/v14050920] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 12/11/2022] Open
Abstract
The prevalence of anti-SARS-CoV-2 antibodies and potential determinants were assessed in a random sample representative of the Belgian adult population. In total, 14,201 individuals (≥18 years) were invited by mail to provide saliva via an Oracol® swab. Survey weights were applied, and potential determinants were estimated using multivariable logistic regressions. Between March and August 2021, 2767 individuals participated in the first data collection. During this period, which coincided with the onset of the vaccination campaign, the seroprevalence in the population increased from 25.2% in March/April to 78.1% in July. Among the vaccinated there was an increase from 74,2% to 98.8%; among the unvaccinated, the seroprevalence remained stable (around 17%). Among the vaccinated, factors significantly associated with the presence of antibodies were: having at least one chronic disease (ORa 0.22 (95% CI 0.08–0.62)), having received an mRNA-type vaccine (ORa 5.38 (95% CI 1.72–16.80)), and having received an influenza vaccine in 2020–2021 (ORa 3.79 (95% CI 1.30–11.07)). Among the unvaccinated, having a non-O blood type (ORa 2.00 (95% CI 1.09–3.67)) and having one or more positive COVID-19 tests (ORa 11.04 (95% CI 4.69–26.02)) were significantly associated. This study provides a better understanding of vaccine- and/or natural-induced presence of anti-SARS-CoV-2 antibodies and factors that are associated with this presence.
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11
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Costa JPD, Meireles P, Rodrigues PNS, Barros H. Incidence of SARS-CoV-2 infection in a cohort of workers from the University of Porto, Portugal. Infect Dis (Lond) 2022; 54:441-447. [PMID: 35129057 DOI: 10.1080/23744235.2022.2035429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Repeated serosurveys in the same population provide more accurate estimates of the frequency of SARS-CoV-2 infection and more comparable data over time than notified cases. We aimed to estimate the incidence of SARS-CoV-2 infection, identify associated factors, and assess time trends in the ratio of serological/molecular diagnosis in a cohort of university workers. METHODS Participants had a serological rapid test for SARS-CoV-2 immunoglobulins M and G, and completed a questionnaire, in May-July 2020 (n = 3628) and November 2020-January 2021 (n = 2661); 1960 participated in both evaluations and provided data to compute the incidence proportion and the incidence rate. Crude and adjusted incidence rate ratios (aIRR) and 95% confidence intervals (CI) were computed using generalized linear models with Poisson regression. RESULTS The incidence rate was 1.8/100 person-months (95% CI: 1.5-2.0), and the 6 months' cumulative incidence was 10.7%. The serological/molecular diagnosis ratio was 10:1 in the first evaluation and 3:1 in the second. Considering newly identified seropositive cases at the first (n = 69) and second evaluation (n = 202), 29.0% and 9.4% never reported symptoms, respectively, 14.5% and 33.3% reported contact with a confirmed case and 82.6%, and 46.0% never had a molecular test. Males (aIRR: 0.61; 95% CI: 0.44-0.85) and 'high-skilled white-collar' workers (aIRR: 0.74, 95% CI: 0.53-1.04) had lower risk of infection. CONCLUSION University workers presented a high SARS-CoV-2 incidence while restrictive measures were in place. The time decrease in the proportion of undiagnosed cases reflected the increased access and awareness to testing, but opportunities continued to be missed, even in the presence of COVID-19-like symptoms.
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Affiliation(s)
- Joana Pinto da Costa
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.,Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Paula Meireles
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.,Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal
| | - Pedro N S Rodrigues
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,ICBAS-Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal
| | - Henrique Barros
- EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.,Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal.,Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
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12
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Stringhini S, Zaballa ME, Pullen N, Perez-Saez J, de Mestral C, Loizeau AJ, Lamour J, Pennacchio F, Wisniak A, Dumont R, Baysson H, Richard V, Lorthe E, Semaani C, Balavoine JF, Pittet D, Vuilleumier N, Chappuis F, Kherad O, Azman AS, Posfay-Barbe K, Kaiser L, Guessous I. Seroprevalence of anti-SARS-CoV-2 antibodies 6 months into the vaccination campaign in Geneva, Switzerland, 1 June to 7 July 2021. Euro Surveill 2021; 26:2100830. [PMID: 34713799 PMCID: PMC8555371 DOI: 10.2807/1560-7917.es.2021.26.43.2100830] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 10/08/2021] [Indexed: 11/20/2022] Open
Abstract
BackgroundUp-to-date seroprevalence estimates are critical to describe the SARS-CoV-2 immune landscape and to guide public health decisions.AimWe estimate seroprevalence of anti-SARS-CoV-2 antibodies 15 months into the COVID-19 pandemic and 6 months into the vaccination campaign.MethodsWe conducted a population-based cross-sectional serosurvey between 1 June and 7 July 2021, recruiting participants from age- and sex-stratified random samples of the general population. We tested participants for anti-SARS-CoV-2 antibodies targeting the spike (S) or nucleocapsid (N) proteins using the Roche Elecsys immunoassays. We estimated the anti-SARS-CoV-2 antibodies seroprevalence following vaccination and/or infection (anti-S antibodies), or infection only (anti-N antibodies).ResultsAmong 3,355 individuals (54.1% women; 20.8% aged < 18 years and 13.4% aged ≥ 65 years), 2,161 (64.4%) had anti-S antibodies and 906 (27.0%) had anti-N antibodies. The total seroprevalence was 66.1% (95% credible interval (CrI): 64.1-68.0). We estimated that 29.9% (95% Crl: 28.0-31.9) of the population developed antibodies after infection; the rest having developed antibodies via vaccination. Seroprevalence estimates differed markedly across age groups, being lowest among children aged 0-5 years (20.8%; 95% Crl: 15.5-26.7) and highest among older adults aged ≥ 75 years (93.1%; 95% Crl: 89.6-96.0). Seroprevalence of antibodies developed via infection and/or vaccination was higher among participants with higher educational level.ConclusionMost of the population has developed anti-SARS-CoV-2 antibodies, despite most teenagers and children remaining vulnerable to infection. As the SARS-CoV-2 Delta variant spreads and vaccination rates stagnate, efforts are needed to address vaccine hesitancy, particularly among younger individuals and to minimise spread among children.
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Affiliation(s)
- Silvia Stringhini
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
- Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland
| | - María-Eugenia Zaballa
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Nick Pullen
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Javier Perez-Saez
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States
- Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Carlos de Mestral
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
- University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland
| | - Andrea Jutta Loizeau
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Julien Lamour
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Francesco Pennacchio
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Ania Wisniak
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
- Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Roxane Dumont
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Hélène Baysson
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
- Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Viviane Richard
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Elsa Lorthe
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Claire Semaani
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | | | - Didier Pittet
- Department of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Infection Control Program and World Health Organization Collaborating Centre on Patient Safety, Geneva University Hospitals, Geneva, Switzerland
| | - Nicolas Vuilleumier
- Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland
- Department of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - François Chappuis
- Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Omar Kherad
- Division of Internal Medicine, Hôpital de la Tour, Geneva, Switzerland
- Department of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Andrew S Azman
- Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States
- Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Klara Posfay-Barbe
- Department of Woman, Child, and Adolescent Medicine, Geneva University Hospitals, Geneva, Switzerland
- Department of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Laurent Kaiser
- Geneva Centre for Emerging Viral Diseases and Laboratory Virology, Geneva University Hospitals, Geneva, Switzerland
- Division of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland
- Department of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Idris Guessous
- Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland
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