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Kuthning D, Raafat D, Holtfreter S, Gramenz J, Wittmann N, Bröker BM, Meyer-Bahlburg A. Variant-specific antibody profiling for tracking SARS-CoV-2 variant infections in children and adolescents. Front Immunol 2024; 15:1434291. [PMID: 39257574 PMCID: PMC11384586 DOI: 10.3389/fimmu.2024.1434291] [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: 05/17/2024] [Accepted: 08/05/2024] [Indexed: 09/12/2024] Open
Abstract
Monitoring the seroprevalence of SARS-CoV-2 in children and adolescents can provide valuable information for effective SARS-CoV-2 surveillance, and thus guide vaccination strategies. In this study, we quantified antibodies against the spike S1 domains of several SARS-CoV-2 variants (wild-type, Alpha, Delta, and Omicron variants) as well as endemic human coronaviruses (HCoVs) in 1,309 children and adolescents screened between December 2020 and March 2023. Their antibody binding profiles were compared with those of 22 pre-pandemic samples from children and adolescents using an in-house Luminex®-based Corona Array (CA). The primary objectives of this study were to (i) monitor SARS-CoV-2-specific antibodies in children and adolescents, (ii) evaluate whether the S1-specific antibody response can identify the infecting variant of concern (VoC), (iii) estimate the prevalence of silent infections, and (iv) test whether vaccination or infection with SARS-CoV-2 induce HCoV cross-reactive antibodies. Both SARS-CoV-2 infection and vaccination induced a robust antibody response against the S1 domain of WT and VoCs in children and adolescents. Antibodies specific for the S1 domain were able to distinguish between SARS-CoV-2 VoCs in infected children. The serologically identified VoC was typically the predominant VoC at the time of infection. Furthermore, our highly sensitive CA identified more silent SARS-CoV-2 infections than a commercial ELISA (12.1% vs. 6.3%, respectively), and provided insights into the infecting VoC. Seroconversion to endemic HCoVs occurred in early childhood, and vaccination or infection with SARS-CoV-2 did not induce HCoV S1 cross-reactive antibodies. In conclusion, the antibody response to the S1 domain of the spike protein of SARS-CoV-2 is highly specific, providing information about the infecting VoC and revealing clinically silent infections.
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Affiliation(s)
- Daniela Kuthning
- Pediatric Rheumatology, Department of Pediatric and Adolescent Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Dina Raafat
- Institute of Immunology, University Medicine Greifswald, Greifswald, Germany
- Department of Microbiology and Immunology, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt
| | - Silva Holtfreter
- Institute of Immunology, University Medicine Greifswald, Greifswald, Germany
| | - Jana Gramenz
- Pediatric Rheumatology, Department of Pediatric and Adolescent Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Nico Wittmann
- Pediatric Rheumatology, Department of Pediatric and Adolescent Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Barbara M Bröker
- Institute of Immunology, University Medicine Greifswald, Greifswald, Germany
| | - Almut Meyer-Bahlburg
- Pediatric Rheumatology, Department of Pediatric and Adolescent Medicine, University Medicine Greifswald, Greifswald, Germany
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2
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Zeller I, Weiss A, Arnolds S, Schütte-Borkovec K, Arabi S, von dem Berge T, Casteels K, Hommel A, Kordonouri O, Larsson HE, Lundgren M, Rochtus A, Snape MD, Szypowka A, Vatish M, Winkler C, Bonifacio E, Ziegler AG. Infection episodes and islet autoantibodies in children at increased risk for type 1 diabetes before and during the COVID-19 pandemic. Infection 2024:10.1007/s15010-024-02312-y. [PMID: 38874748 DOI: 10.1007/s15010-024-02312-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 05/29/2024] [Indexed: 06/15/2024]
Abstract
OBJECTIVES To determine the impact of the COVID-19 pandemic on the incidence rates of infection and islet autoimmunity in children at risk for type 1 diabetes. METHODS 1050 children aged 4 to 7 months with an elevated genetic risk for type 1 diabetes were recruited from Germany, Poland, Sweden, Belgium and the UK. Reported infection episodes and islet autoantibody development were monitored until age 40 months from February 2018 to February 2023. RESULTS The overall infection rate was 311 (95% Confidence Interval [CI], 304-318) per 100 person years. Infection rates differed by age, country, family history of type 1 diabetes, and period relative to the pandemic. Total infection rates were 321 per 100 person-years (95% CI 304-338) in the pre-pandemic period (until February 2020), 160 (95% CI 148-173) per 100 person-years in the first pandemic year (March 2020-February 2021; P < 0.001) and 337 (95% CI 315-363) per 100 person-years in subsequent years. Similar trends were observed for respiratory and gastrointestinal infections. Islet autoantibody incidence rates were 1.6 (95% CI 1.0-2.4) per 100 person-years in the pre-pandemic period, 1.2 (95% CI 0.8-1.9) per 100 person-years in the first pandemic year (P = 0.46), and 3.4 (95% CI 2.3-4.8) per 100 person-years in subsequent years (P = 0.005 vs. pre-pandemic year; P < 0.001 vs. first pandemic year). CONCLUSIONS The COVID-19 pandemic was associated with significantly altered infection patterns. Islet autoantibody incidence rates increased two-fold when infection rates returned to pre-pandemic levels.
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Affiliation(s)
- Ivo Zeller
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Heidemannstrasse 1, 80939, Munich, Germany
| | - Andreas Weiss
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Heidemannstrasse 1, 80939, Munich, Germany
| | - Stefanie Arnolds
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Heidemannstrasse 1, 80939, Munich, Germany
| | - Katharina Schütte-Borkovec
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Heidemannstrasse 1, 80939, Munich, Germany
| | - Sari Arabi
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
- Department of Pediatrics, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | | | - Kristina Casteels
- Department of Pediatrics, University Hospitals Leuven, Louvain, Belgium
- Department of Development and Regeneration, KU Leuven, Louvain, Belgium
| | - Angela Hommel
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
| | - Olga Kordonouri
- Kinder- Und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Helena Elding Larsson
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Paediatrics, Skåne University Hospital, Malmö/Lund, Sweden
| | - Markus Lundgren
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - Anne Rochtus
- Department of Pediatrics, University Hospitals Leuven, Louvain, Belgium
- Department of Development and Regeneration, KU Leuven, Louvain, Belgium
| | - Matthew D Snape
- Oxford Vaccine Group, University of Oxford Department of Paediatrics, NIHR Oxford Biomedical Research Centre, Oxford, UK
| | | | - Manu Vatish
- Nuffield Department of Women's & Reproductive Health, Oxford, UK
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Heidemannstrasse 1, 80939, Munich, Germany
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Munich at University Hospital Carl Gustav Carus, Faculty of Medicine, TU, Dresden, Germany
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Heidemannstrasse 1, 80939, Munich, Germany.
- Forschergruppe Diabetes E.V. at Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
- Forschergruppe Diabetes, School of Medicine, Klinikum Rechts Der Isar, Technical University Munich, Munich, Germany.
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3
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Herold KC, Delong T, Perdigoto AL, Biru N, Brusko TM, Walker LSK. The immunology of type 1 diabetes. Nat Rev Immunol 2024; 24:435-451. [PMID: 38308004 PMCID: PMC7616056 DOI: 10.1038/s41577-023-00985-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2023] [Indexed: 02/04/2024]
Abstract
Following the seminal discovery of insulin a century ago, treatment of individuals with type 1 diabetes (T1D) has been largely restricted to efforts to monitor and treat metabolic glucose dysregulation. The recent regulatory approval of the first immunotherapy that targets T cells as a means to delay the autoimmune destruction of pancreatic β-cells highlights the critical role of the immune system in disease pathogenesis and tends to pave the way for other immune-targeted interventions for T1D. Improving the efficacy of such interventions across the natural history of the disease will probably require a more detailed understanding of the immunobiology of T1D, as well as technologies to monitor residual β-cell mass and function. Here we provide an overview of the immune mechanisms that underpin the pathogenesis of T1D, with a particular emphasis on T cells.
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Affiliation(s)
- Kevan C Herold
- Department of Immunobiology, Yale University, New Haven, CT, USA.
- Department of Internal Medicine, Yale University, New Haven, CT, USA.
| | - Thomas Delong
- Anschutz Medical Campus, University of Colorado, Denver, CO, USA
| | - Ana Luisa Perdigoto
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Internal Medicine, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Noah Biru
- Department of Immunobiology, Yale University, New Haven, CT, USA
| | - Todd M Brusko
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Lucy S K Walker
- Institute of Immunity & Transplantation, University College London, London, UK.
- Division of Infection & Immunity, University College London, London, UK.
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Sedighi I, Raeisi R, Amiri J, Shalchi Z, Karami M, Azizi Jalilian F, Teimoori A, Ansari N, Bathaei J, Hashemi M. Asymptomatic Children as a Missing Link in Preventing COVID-19 Transmission. J Res Health Sci 2024; 24:e00614. [PMID: 39072550 PMCID: PMC11264454 DOI: 10.34172/jrhs.2024.149] [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: 12/31/2023] [Revised: 02/28/2024] [Accepted: 03/10/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Investigating the prevalence of the coronavirus disease 2019 (COVID-19) infection in asymptomatic children who have been in close contact with symptomatic individuals is instrumental for refining public health approaches, protecting vulnerable populations, and mitigating the broader impact of the pandemic. Accordingly, this study aimed to evaluate the incidence of COVID-19 infection in asymptomatic children who had been in close contact with parents exhibiting COVID-19 symptoms. Study Design: A cross-sectional study. METHODS The present cross-sectional study was conducted on 175 asymptomatic children who had been in close contact with COVID-19 confirmed cases in Hamadan County from March 2021 to August 2021. Reverse transcription polymerase chain reaction (RT-PCR) testing was performed on all asymptomatic children who had been in close contact with an individual with COVID-19. Furthermore, multiple logistic regressions were conducted to determine the predictors of COVID-19 transmission from family members to children. RESULTS Out of the 175 children in close contact with index cases, 53 (30.29%) tested positive for COVID-19 through PCR. Regarding factors related to the index case, male cases (Adjusted odds ratio [AOR]=2.29; 95% confidence interval [CI]: 1.03-5.09, P=0.041), rural dwellers (AOR=3.22; 95% CI: 1.02-10.16, P=0.046), illiterate cases (AOR=8.45; 95% CI: 1.76-40.65, P=0.008), and cases presenting with nasal congestion symptoms (AOR=9.12; 95% CI: 2.22-37.40, P=0.002) were more prone to transmitting the virus to children who had close contact with them. CONCLUSION The findings of the present study suggested that asymptomatic COVID-19 infection in household contacts is significant in children who were in close contact with a COVID-19-positive patient. Therefore, it is crucial to continue to monitor this group closely.
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Affiliation(s)
- Iraj Sedighi
- Department of Pediatrics, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Roya Raeisi
- Department of Pediatrics, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Jalaleddin Amiri
- Department of Pediatrics, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Zohreh Shalchi
- Department of Pediatrics, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Manoochehr Karami
- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences,Tehran, Iran
| | - Farid Azizi Jalilian
- Department of Virology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ali Teimoori
- Department of Virology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Nastaran Ansari
- Department of Virology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Jalaledin Bathaei
- Deputy of Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mohammad Hashemi
- Deputy of Health, Hamadan University of Medical Sciences, Hamadan, Iran
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5
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O'Mahoney C, Watt I, Fiedler S, Devenish S, Srikanth S, Justice E, Dover T, Dean D, Peng C. Microfluidic Diffusional Sizing (MDS) Measurements of Secretory Neutralizing Antibody Affinity Against SARS-CoV-2. Ann Biomed Eng 2024; 52:1653-1664. [PMID: 38459195 PMCID: PMC11082020 DOI: 10.1007/s10439-024-03478-0] [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: 02/08/2023] [Accepted: 02/19/2024] [Indexed: 03/10/2024]
Abstract
SARS-CoV-2 has rampantly spread around the globe and continues to cause unprecedented loss through ongoing waves of (re)infection. Increasing our understanding of the protection against infection with SARS-CoV-2 is critical to ending the pandemic. Serological assays have been widely used to assess immune responses, but secretory antibodies, the essential first line of defense, have been studied to only a limited extent. Of particular interest and importance are neutralizing antibodies, which block the binding of the spike protein of SARS-CoV-2 to the human receptor angiotensin-converting enzyme-2 (ACE2) and thus are essential for immune defense. Here, we employed Microfluidic Diffusional Sizing (MDS), an immobilization-free technology, to characterize neutralizing antibody affinity to SARS-CoV-2 spike receptor-binding domain (RBD) and spike trimer in saliva. Affinity measurement was obtained through a contrived sample and buffer using recombinant SARS-CoV-2 RBD and monoclonal antibody. Limited saliva samples demonstrated that MDS applies to saliva neutralizing antibody measurement. The ability to disrupt a complex of ACE2-Fc and spike trimer is shown. Using a quantitative assay on the patient sample, we determined the affinity and binding site concentration of the neutralizing antibodies.
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Affiliation(s)
- Cara O'Mahoney
- Department of Bioengineering, Clemson University, Clemson, SC, USA
| | - Ian Watt
- Fluidic Analytics, Cambridge, UK
| | | | | | - Sujata Srikanth
- Center for Innovative Medical Devices and Sensors, Clemson University, Clemson, SC, USA
| | - Erica Justice
- Center for Innovative Medical Devices and Sensors, Clemson University, Clemson, SC, USA
| | - Tristan Dover
- Center for Innovative Medical Devices and Sensors, Clemson University, Clemson, SC, USA
| | - Delphine Dean
- Department of Bioengineering, Clemson University, Clemson, SC, USA
- Center for Innovative Medical Devices and Sensors, Clemson University, Clemson, SC, USA
| | - Congyue Peng
- Department of Bioengineering, Clemson University, Clemson, SC, USA.
- Center for Innovative Medical Devices and Sensors, Clemson University, Clemson, SC, USA.
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6
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Bernhard J, Theuring S, van Loon W, Mall MA, Seybold J, Kurth T, Rubio-Acero R, Wieser A, Mockenhaupt FP. SARS-CoV-2 Seroprevalence in a Berlin Kindergarten Environment: A Cross-Sectional Study, September 2021. CHILDREN (BASEL, SWITZERLAND) 2024; 11:405. [PMID: 38671622 PMCID: PMC11049115 DOI: 10.3390/children11040405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/20/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024]
Abstract
SARS-CoV-2 serology may be helpful to retrospectively understand infection dynamics in specific settings including kindergartens. We assessed SARS-CoV-2 seroprevalence in individuals connected to kindergartens in Berlin, Germany in September 2021. Children, staff, and household members from 12 randomly selected kindergartens were interviewed on COVID-19 history and sociodemographic parameters. Blood samples were collected on filter paper. SARS-CoV-2 anti-S and anti-N antibodies were assessed using Roche Elecsys. We assessed seroprevalence and the proportion of so far unrecognized SARS-CoV-2 infections. We included 277 participants, comprising 48 (17.3%) kindergarten children, 37 (13.4%) staff, and 192 (69.3%) household members. SARS-CoV-2 antibodies were present in 65.0%, and 52.7% of all participants were vaccinated. Evidence of previous infection was observed in 16.7% of kindergarten children, 16.2% of staff, and 10.4% of household members. Undiagnosed infections were observed in 12.5%, 5.4%, and 3.6%, respectively. Preceding infections were associated with facemask neglect. In conclusion, two-thirds of our cohort were SARS-CoV-2 seroreactive in September 2021, largely as a result of vaccination in adults. Kindergarten children showed the highest proportion of non-vaccine-induced seropositivity and an increased proportion of previously unrecognized SARS-CoV-2 infection. Silent infections in pre-school children need to be considered when interpreting SARS-CoV-2 infections in the kindergarten context.
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Affiliation(s)
- Julian Bernhard
- Institute of International Health, Charité Center for Global Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany; (S.T.); (W.v.L.); (F.P.M.)
| | - Stefanie Theuring
- Institute of International Health, Charité Center for Global Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany; (S.T.); (W.v.L.); (F.P.M.)
| | - Welmoed van Loon
- Institute of International Health, Charité Center for Global Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany; (S.T.); (W.v.L.); (F.P.M.)
| | - Marcus A. Mall
- Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany;
- Berlin Institute of Health (BIH) at Charité—Universitätsmedizin Berlin, 13353 Berlin, Germany
- German Centre for Lung Research (DZL), 35392 Gießen, Germany
| | - Joachim Seybold
- Medical Directorate, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany;
| | - Tobias Kurth
- Institute of Public Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 10117 Berlin, Germany;
| | - Raquel Rubio-Acero
- Division of Infectious Diseases and Tropical Medicine, Ludwig-Maximilians-Universität, 80802 Munich, Germany (A.W.)
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, Ludwig-Maximilians-Universität, 80802 Munich, Germany (A.W.)
- Max von Pettenkofer Institute of Hygiene and Medical Microbiology, Ludwig-Maximilians-Universität, 80336 Munich, Germany
- German Centre for Infection Research (DZIF), 80802 Munich, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP), 80779 Munich, Germany
| | - Frank P. Mockenhaupt
- Institute of International Health, Charité Center for Global Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany; (S.T.); (W.v.L.); (F.P.M.)
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7
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Lugar M, Eugster A, Achenbach P, von dem Berge T, Berner R, Besser REJ, Casteels K, Elding Larsson H, Gemulla G, Kordonouri O, Lindner A, Lundgren M, Müller D, Oltarzewski M, Rochtus A, Scholz M, Szypowska A, Todd JA, Ziegler AG, Bonifacio E. SARS-CoV-2 Infection and Development of Islet Autoimmunity in Early Childhood. JAMA 2023; 330:1151-1160. [PMID: 37682551 PMCID: PMC10523173 DOI: 10.1001/jama.2023.16348] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023]
Abstract
Importance The incidence of diabetes in childhood has increased during the COVID-19 pandemic. Elucidating whether SARS-CoV-2 infection is associated with islet autoimmunity, which precedes type 1 diabetes onset, is relevant to disease etiology and future childhood diabetes trends. Objective To determine whether there is a temporal relationship between SARS-CoV-2 infection and the development of islet autoimmunity in early childhood. Design, Setting, and Participants Between February 2018 and March 2021, the Primary Oral Insulin Trial, a European multicenter study, enrolled 1050 infants (517 girls) aged 4 to 7 months with a more than 10% genetically defined risk of type 1 diabetes. Children were followed up through September 2022. Exposure SARS-CoV-2 infection identified by SARS-CoV-2 antibody development in follow-up visits conducted at 2- to 6-month intervals until age 2 years from April 2018 through June 2022. Main Outcomes and Measures The development of multiple (≥2) islet autoantibodies in follow-up in consecutive samples or single islet antibodies and type 1 diabetes. Antibody incidence rates and risk of developing islet autoantibodies were analyzed. Results Consent was obtained for 885 (441 girls) children who were included in follow-up antibody measurements from age 6 months. SARS-CoV-2 antibodies developed in 170 children at a median age of 18 months (range, 6-25 months). Islet autoantibodies developed in 60 children. Six of these children tested positive for islet autoantibodies at the same time as they tested positive for SARS-CoV-2 antibodies and 6 at the visit after having tested positive for SARS-CoV-2 antibodies. The sex-, age-, and country-adjusted hazard ratio for developing islet autoantibodies when the children tested positive for SARS-CoV-2 antibodies was 3.5 (95% CI, 1.6-7.7; P = .002). The incidence rate of islet autoantibodies was 3.5 (95% CI, 2.2-5.1) per 100 person-years in children without SARS-CoV-2 antibodies and 7.8 (95% CI, 5.3-19.0) per 100 person-years in children with SARS-CoV-2 antibodies (P = .02). Islet autoantibody risk in children with SARS-CoV-2 antibodies was associated with younger age (<18 months) of SARS-CoV-2 antibody development (HR, 5.3; 95% CI, 1.5-18.3; P = .009). Conclusion and relevance In young children with high genetic risk of type 1 diabetes, SARS-CoV-2 infection was temporally associated with the development of islet autoantibodies.
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Affiliation(s)
- Marija Lugar
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Anne Eugster
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes, School of Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | | | - Reinhard Berner
- Department of Pediatrics, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Rachel E. J. Besser
- Department of Pediatrics, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, Oxford University, Oxford, United Kingdom
| | - Kristina Casteels
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Helena Elding Larsson
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Paediatrics, Skåne University Hospital, Malmö, Sweden
| | - Gita Gemulla
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- Department of Pediatrics, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Olga Kordonouri
- Kinder-und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Annett Lindner
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Markus Lundgren
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - Denise Müller
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | | | - Anne Rochtus
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Marlon Scholz
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes, School of Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | | | - John A. Todd
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, Oxford University, Oxford, United Kingdom
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes, School of Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Ezio Bonifacio
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, Technische Universität Dresden, Germany
- Institute for Diabetes and Obesity, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
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8
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Galmiche S, Charmet T, Rakover A, Schaeffer L, Chény O, von Platen C, Omar F, David C, Mailles A, Carrat F, Fontanet A. Risk of SARS-CoV-2 Infection Among Households With Children in France, 2020-2022. JAMA Netw Open 2023; 6:e2334084. [PMID: 37713194 PMCID: PMC10504612 DOI: 10.1001/jamanetworkopen.2023.34084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/18/2023] [Indexed: 09/16/2023] Open
Abstract
Importance Understanding the contribution of children to SARS-CoV-2 circulation in households is critical for designing public health policies and mitigation strategies. Objective To identify temporal changes in the risk of SARS-CoV-2 infection in people living with children. Design, Setting, and Participants This case-control study included online questionnaire responses from French adults between October 2020 and October 2022. Eligible cases were adults with ongoing SARS-CoV-2 infection with an email address on record with the national health insurance system, which centralized all new diagnoses in France. Eligible controls were adults who had never tested positive for SARS-CoV-2 until February 2021, when eligibility was extended to all adults without ongoing SARS-CoV-2 infection. Exposure Transmission of SARS-CoV-2 from a child (aged under 18 years) within the household in the descriptive analysis, as reported by the participating case. Sharing household with a child (of any age or broken down by school level) in the case-control analysis. Main Outcome and Measures Ongoing SARS-CoV-2 infection diagnosed by reverse transcription-polymerase chain reaction or supervised rapid antigen test (ie, not self-tests). Results A total of 682 952 cases were included for the descriptive analysis (68.8% female, median [IQR] age, 44 [34-55] years). Among those, 45 108 (6.6%) identified a household child as the source case; this proportion peaked at 10.4% during the Omicron BA.1 wave (December 20, 2021, to April 8, 2022). For the case-control analysis, we matched 175 688 cases (with a 4:1 ratio) for demographic characteristics with 43 922 controls. In multivariable logistic regression analysis, household exposure to children was associated with an increased risk of infection mainly at the end of summer 2021 (receding Delta wave) and during winter 2022 (Omicron BA.1 wave). In subgroup analysis by school level of the child, living with children under the age of 6 was associated with increased odds of infection throughout the study period, peaking at an odds ratio (OR) 1.8 (95% CI, 1.6-2.1) for children looked after by professional in-home caregivers, 1.7 (95% CI, 1.5-1.7) for children in day care facilities, and 1.6 (95% CI, 1.4-1.8) for children in preschool. The ORs associated with household exposure to children aged 6 to 14 years increased during the Delta (August 14, 2021, to December 19, 2021) and Omicron BA.1 waves, reaching 1.6 (95% CI, 1.5-1.7) for primary school children and 1.4 (95% CI, 1.3-1.5) for middle school children. Exposure to older children aged 15 to 17 years was associated with a moderate risk until April 2021, with an OR of 1.2 (95% CI, 1.2-1.3) during curfew in early 2021 (December 4, 2020, to April 8, 2021). Conclusions and Relevance The presence of children, notably very young ones, was associated with an increased risk of SARS-CoV-2 infection in other household members, especially during the Delta and Omicron BA.1 waves. These results should help to guide policies targeting children and immunocompromised members of their household.
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Affiliation(s)
- Simon Galmiche
- Emerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris Cité, Paris, France
- Sorbonne Université, Ecole Doctorale Pierre Louis de Santé Publique, Paris, France
| | - Tiffany Charmet
- Emerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Arthur Rakover
- Emerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Laura Schaeffer
- Emerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Olivia Chény
- Center for Translational Research, Institut Pasteur, Université Paris Cité, Paris, France
| | - Cassandre von Platen
- Center for Translational Research, Institut Pasteur, Université Paris Cité, Paris, France
| | - Faïza Omar
- Department of Public Affairs—Public Statistics, Institut Ipsos, Paris, France
| | - Christophe David
- Department of Public Affairs—Public Statistics, Institut Ipsos, Paris, France
| | | | - Fabrice Carrat
- Sorbonne Université, Inserm, IPLESP, Hôpital Saint-Antoine, AP-HP, Paris, France
| | - Arnaud Fontanet
- Emerging Diseases Epidemiology Unit, Institut Pasteur, Université Paris Cité, Paris, France
- Unité PACRI, Conservatoire National des Arts et Métiers, Paris, France
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9
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Stanke Z, Spouge JL. Estimating age-stratified transmission and reproduction numbers during the early exponential phase of an epidemic: A case study with COVID-19 data. Epidemics 2023; 44:100714. [PMID: 37595401 PMCID: PMC10528737 DOI: 10.1016/j.epidem.2023.100714] [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: 02/19/2023] [Revised: 06/07/2023] [Accepted: 08/08/2023] [Indexed: 08/20/2023] Open
Abstract
In a pending pandemic, early knowledge of age-specific disease parameters, e.g., susceptibility, infectivity, and the clinical fraction (the fraction of infections coming to clinical attention), supports targeted public health responses like school closures or sequestration of the elderly. The earlier the knowledge, the more useful it is, so the present article examines an early phase of many epidemics, exponential growth. Using age-stratified COVID-19 case counts collected in Canada, China, Israel, Italy, the Netherlands, and the United Kingdom before April 23, 2020, we present a linear analysis of the exponential phase that attempts to estimate the age-specific disease parameters given above. Some combinations of the parameters can be estimated by requiring that they change smoothly with age. The estimation yielded: (1) the case susceptibility, defined for each age-group as the product of susceptibility to infection and the clinical fraction; (2) the mean number of transmissions of infection per contact within each age-group; and (3) the reproduction number of infection within each age-group, i.e., the diagonal of the age-stratified next-generation matrix. Our restriction to data from the exponential phase indicates the combinations of epidemic parameters that are intrinsically easiest to estimate with early age-stratified case counts. For example, conclusions concerning the age-dependence of case susceptibility appeared more robust than corresponding conclusions about infectivity. Generally, the analysis produced some results consistent with conclusions confirmed much later in the COVID-19 pandemic. Notably, our analysis showed that in some countries, the reproduction number of infection within the half-decade 70-75 was unusually large compared to other half-decades. Our analysis therefore could have anticipated that without countermeasures, COVID-19 would spread rapidly once seeded in homes for the elderly.
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Affiliation(s)
- Zachary Stanke
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - John L Spouge
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
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10
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Kamrath C, Holl RW, Rosenbauer J. Elucidating the Underlying Mechanisms of the Marked Increase in Childhood Type 1 Diabetes During the COVID-19 Pandemic-The Diabetes Pandemic. JAMA Netw Open 2023; 6:e2321231. [PMID: 37389881 DOI: 10.1001/jamanetworkopen.2023.21231] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/01/2023] Open
Affiliation(s)
- Clemens Kamrath
- Centre of Child and Adolescent Medicine, Justus Liebig University, Giessen, Germany
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm University, Ulm, Germany
- German Centre for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Joachim Rosenbauer
- German Centre for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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11
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Burbelo PD, Ji Y, Iadarola MJ. Advancing Luciferase-Based Antibody Immunoassays to Next-Generation Mix and Read Testing. BIOSENSORS 2023; 13:303. [PMID: 36979515 PMCID: PMC10046223 DOI: 10.3390/bios13030303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/07/2023] [Accepted: 02/10/2023] [Indexed: 06/18/2023]
Abstract
Antibody measurements play a central role in the diagnosis of many autoimmune and infectious diseases. One antibody detection technology, Luciferase Immunoprecipitation Systems (LIPS), utilizes genetically encoded recombinant luciferase antigen fusion proteins in an immunoglobulin capture format to generate robust antibody measurement with high diagnostic sensitivity and specificity. The LIPS technology has been highly useful in detecting antibodies for research diagnostics and the discovery of new autoantigens. The methodology of the assay requires immunoglobulin binding reagents such as protein A/G beads and washing steps to process the immune complex before antibody levels are measured by light production with a luminometer. Recently, simplified mix and read immunoassays based on split components of the nanoluciferase enzyme in a complementation format have been developed for antibody measurements without requiring immunoglobulin-capturing beads or washing steps. The mix and read immunoassays utilize two or three nanoluciferase fragments which when reconstituted via antigen-specific antibody binding generate a functional enzyme. At present, these split luciferase tests have been developed mainly for detecting SARS-CoV-2 antibodies. Here, we describe the traditional LIPS technology and compare it to the new split luciferase methodologies focusing on their technical features, strengths, limitations, and future opportunities for diagnostic research, and clinical applications.
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Affiliation(s)
- Peter D. Burbelo
- Adeno-Associated Virus Biology Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD 202892, USA
| | - Youngmi Ji
- Adeno-Associated Virus Biology Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD 202892, USA
| | - Michael J. Iadarola
- Department of Perioperative Medicine, Clinical Center, National Institutes of Health, Bethesda, MD 202892, USA
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12
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Maier BF, Rose AH, Burdinski A, Klamser P, Neuhauser H, Wichmann O, Schaade L, Wieler LH, Brockmann D. Estimating the share of SARS-CoV-2-immunologically naïve individuals in Germany up to June 2022. Epidemiol Infect 2023; 151:e38. [PMID: 36789785 PMCID: PMC10028997 DOI: 10.1017/s0950268823000195] [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] [Indexed: 02/16/2023] Open
Abstract
After the winter of 2021/2022, the coronavirus disease 2019 (COVID-19) pandemic had reached a phase where a considerable number of people in Germany have been either infected with a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant, vaccinated or both, the full extent of which was difficult to estimate, however, because infection counts suffer from under-reporting, and the overlap between the vaccinated and recovered subpopulations is unknown. Yet, reliable estimates regarding population-wide susceptibility were of considerable interest: Since both previous infection and vaccination reduce the risk of severe disease, a low share of immunologically naïve individuals lowers the probability of further severe outbreaks, given that emerging variants do not escape the acquired susceptibility reduction. Here, we estimate the share of immunologically naïve individuals by age group for each of the sixteen German federal states by integrating an infectious-disease model based on weekly incidences of SARS-CoV-2 infections in the national surveillance system and vaccine uptake, as well as assumptions regarding under-ascertainment. We estimate a median share of 5.6% of individuals in the German population have neither been in contact with vaccine nor any variant up to 31 May 2022 (quartile range [2.5%-8.5%]). For the adult population at higher risk of severe disease, this figure is reduced to 3.8% [1.6%-5.9%] for ages 18-59 and 2.1% [1.0%-3.4%] for ages 60 and above. However, estimates vary between German states mostly due to heterogeneous vaccine uptake. Excluding Omicron infections from the analysis, 16.3% [14.1%-17.9%] of the population in Germany, across all ages, are estimated to be immunologically naïve, highlighting the large impact the first two Omicron waves had until the beginning of summer in 2022. The method developed here might be useful for similar estimations in other countries or future outbreaks of other infectious diseases.
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Affiliation(s)
- Benjamin F Maier
- Robert Koch Institute, Berlin, Germany
- DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark
- Copenhagen Center for Social Data Science, University of Copenhagen, Copenhagen, Denmark
| | - Annika H Rose
- Robert Koch Institute, Berlin, Germany
- Institute for Theoretical Biology and Integrated Research Institute for the Life-Sciences, Humboldt University of Berlin, Berlin, Germany
| | - Angelique Burdinski
- Robert Koch Institute, Berlin, Germany
- Institute for Theoretical Biology and Integrated Research Institute for the Life-Sciences, Humboldt University of Berlin, Berlin, Germany
| | - Pascal Klamser
- Robert Koch Institute, Berlin, Germany
- Institute for Theoretical Biology and Integrated Research Institute for the Life-Sciences, Humboldt University of Berlin, Berlin, Germany
| | | | | | | | | | - Dirk Brockmann
- Robert Koch Institute, Berlin, Germany
- Institute for Theoretical Biology and Integrated Research Institute for the Life-Sciences, Humboldt University of Berlin, Berlin, Germany
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13
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Rodiah I, Vanella P, Kuhlmann A, Jaeger VK, Harries M, Krause G, Karch A, Bock W, Lange B. Age-specific contribution of contacts to transmission of SARS-CoV-2 in Germany. Eur J Epidemiol 2023; 38:39-58. [PMID: 36593336 PMCID: PMC9807433 DOI: 10.1007/s10654-022-00938-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 10/03/2022] [Indexed: 01/04/2023]
Abstract
Current estimates of pandemic SARS-CoV-2 spread in Germany using infectious disease models often do not use age-specific infection parameters and are not always based on age-specific contact matrices of the population. They also do usually not include setting- or pandemic phase-based information from epidemiological studies of reported cases and do not account for age-specific underdetection of reported cases. Here, we report likely pandemic spread using an age-structured model to understand the age- and setting-specific contribution of contacts to transmission during different phases of the COVID-19 pandemic in Germany. We developed a deterministic SEIRS model using a pre-pandemic contact matrix. The model was optimized to fit age-specific SARS-CoV-2 incidences reported by the German National Public Health Institute (Robert Koch Institute), includes information on setting-specific reported cases in schools and integrates age- and pandemic period-specific parameters for underdetection of reported cases deduced from a large population-based seroprevalence studies. Taking age-specific underreporting into account, younger adults and teenagers were identified in the modeling study as relevant contributors to infections during the first three pandemic waves in Germany. For the fifth wave, the Delta to Omicron transition, only age-specific parametrization reproduces the observed relative and absolute increase in pediatric hospitalizations in Germany. Taking into account age-specific underdetection did not change considerably how much contacts in schools contributed to the total burden of infection in the population (up to 12% with open schools under hygiene measures in the third wave). Accounting for the pandemic phase and age-specific underreporting is important to correctly identify those groups of the population in which quarantine, testing, vaccination, and contact-reduction measures are likely to be most effective and efficient. Age-specific parametrization is also highly relevant to generate informative age-specific output for decision makers and resource planers.
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Affiliation(s)
- Isti Rodiah
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstr. 7, DE-38124, Brunswick, Germany.
- German Centre for Infection Research (DZIF), Inhoffenstr. 7, DE-38124, Brunswick, Germany.
| | - Patrizio Vanella
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstr. 7, DE-38124, Brunswick, Germany
- Chair of Empirical Methods in Social Science and Demography, University of Rostock, Ulmenstr. 69, DE-18057, Rostock, Germany
| | - Alexander Kuhlmann
- Faculty of Medicine, Martin Luther University Halle-Wittenberg, Magdeburgerstr. 8, DE-06112, Halle (Saale), Germany
- German Center for Lung Research (DZL), Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), Carl-Neuberg-Str. 1, DE-30625, Hannover, Germany
| | - Veronika K Jaeger
- Institute of Epidemiology and Social Medicine, University of Münster, Albert-Schweitzer-Campus 1, DE-48149, Münster, Germany
| | - Manuela Harries
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstr. 7, DE-38124, Brunswick, Germany
- German Centre for Infection Research (DZIF), Inhoffenstr. 7, DE-38124, Brunswick, Germany
| | - Gerard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstr. 7, DE-38124, Brunswick, Germany
- German Centre for Infection Research (DZIF), Inhoffenstr. 7, DE-38124, Brunswick, Germany
| | - Andre Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Albert-Schweitzer-Campus 1, DE-48149, Münster, Germany
| | - Wolfgang Bock
- Technomathematics Group, Department of Mathematics, TU Kaiserslautern, Gottlieb-Daimler-Straße 48, DE-67663, Kaiserslautern, Germany
| | - Berit Lange
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Inhoffenstr. 7, DE-38124, Brunswick, Germany.
- German Centre for Infection Research (DZIF), Inhoffenstr. 7, DE-38124, Brunswick, Germany.
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14
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Ott R, Achenbach P, A. Ewald D, Friedl N, Gemulla G, Hubmann M, Kordonouri O, Loff A, Marquardt E, Sifft P, Sporreiter M, Zapardiel-Gonzalo J, Ziegler AG. SARS-CoV-2 Seroprevalence in Preschool and School-Age Children. DEUTSCHES ARZTEBLATT INTERNATIONAL 2022; 119:765-770. [PMID: 36345616 PMCID: PMC9884841 DOI: 10.3238/arztebl.m2022.0355] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 09/17/2022] [Accepted: 10/13/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND The SARS-CoV-2 pandemic is ongoing in Germany. Children and adolescents are increasingly being infected, and many cases presumably remain undetected and unreported. Sero-epidemiological studies can help estimate the true number of infections. METHODS From January 2020 to June 2022, 59 786 persons aged 1-17 years were tested for SARS-CoV-2 antibodies as part of a screening program for presymptomatic type 1 diabetes in the German federal state of Bavaria (the Fr1da study). RESULTS In June 2022, the seroprevalence in the overall population was 73.5%. The seroprevalence was significantly higher in school-age children (from 5 to 10 years of age) than in preschool children (ages 1-4): 84.4% vs. 66.6%, p <0.001. In contrast, in November 2021, before the appearance of the omicron variant, the overall seroprevalence was 14.7% (16.2% of school-age children, 13.0% of preschool children, p = 0.06). In the overall collective, seroprevalence increased fivefold from the fall of 2021 to June 2022 (by a factor of 5.2 in school-age children and 5.1 in preschool children). Similar seroprevalences, with smaller case numbers, were observed in June 2022 in the corresponding Fr1da studies in Saxony and Northern Germany: 87.8% and 76.7%, respectively. CONCLUSION Monthly case counts reveal a substantial rise in SARS-CoV-2-infections among children and adolescents from late 2021 to mid-2022. The high percentage of preschool and school-age children who have been infected with SARS-CoV-2, in a population that has low vaccination coverage, should be taken into account in the development of health policies.
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Affiliation(s)
- Raffael Ott
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich; Forschergruppe Diabetes e.V. at Helmholtz Munich; Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum Rechts der Isar, Munich, Germany
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich; Forschergruppe Diabetes e.V. at Helmholtz Munich; Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum Rechts der Isar, Munich, Germany
| | | | - Nadine Friedl
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich; Forschergruppe Diabetes e.V. at Helmholtz Munich; Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum Rechts der Isar, Munich, Germany
| | - Gita Gemulla
- Department of Pediatrics, University Hospital and Faculty of Medicine, Technical University of Dresden,Center for Regenerative Therapies Dresden, Faculty of Medicine, Technical University of Dresden
| | | | | | - Anja Loff
- Department of Pediatrics, University Hospital and Faculty of Medicine, Technical University of Dresden,Center for Regenerative Therapies Dresden, Faculty of Medicine, Technical University of Dresden
| | | | - Philipp Sifft
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich; Forschergruppe Diabetes e.V. at Helmholtz Munich; Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum Rechts der Isar, Munich, Germany
| | - Melanie Sporreiter
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich; Forschergruppe Diabetes e.V. at Helmholtz Munich; Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum Rechts der Isar, Munich, Germany
| | - Jose Zapardiel-Gonzalo
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich; Forschergruppe Diabetes e.V. at Helmholtz Munich; Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum Rechts der Isar, Munich, Germany
| | - Anette-G. Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich; Forschergruppe Diabetes e.V. at Helmholtz Munich; Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum Rechts der Isar, Munich, Germany
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15
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Tormos R, Fonseca i Casas P, Garcia-Alamino JM. In-person school reopening and the spread of SARS-CoV-2 during the second wave in Spain. Front Public Health 2022; 10:990277. [PMID: 36311601 PMCID: PMC9608566 DOI: 10.3389/fpubh.2022.990277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/16/2022] [Indexed: 01/26/2023] Open
Abstract
We investigate the effects of school reopening on the evolution of COVID-19 infections during the second wave in Spain studying both regional and age-group variation within an interrupted time-series design. Spain's 17 Autonomous Communities reopened schools at different moments in time during September 2020. We find that in-person school reopening correlates with a burst in infections in almost all those regions. Data from Spanish regions gives a further leverage: in some cases, pre-secondary and secondary education started at different dates. The analysis of those cases does not allow to conclude whether reopening one educational stage had an overall stronger impact than the other. To provide a plausible mechanism connecting school reopening with the burst in contagion, we study the Catalan case in more detail, scrutinizing the interrupted time-series patterns of infections among age-groups and the possible connections between them. The stark and sudden increase in contagion among older children (10-19) just after in-person school reopening appears to drag the evolution of other age-groups according to Granger causality. This might be taken as an indirect indication of household transmission from offspring to parents with important societal implications for the aggregate dynamics of infections.
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Affiliation(s)
- Raül Tormos
- Centre d'Estudis d'Opinió - Generalitat de Catalunya, Barcelona, Spain
- Department of Law and Political Science, Open University of Catalonia, Barcelona, Spain
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16
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Rewers M, Bonifacio E, Ewald D, Geno Rasmussen C, Jia X, Pyle L, Ziegler AG. SARS-CoV-2 Infections and Presymptomatic Type 1 Diabetes Autoimmunity in Children and Adolescents From Colorado, USA, and Bavaria, Germany. JAMA 2022; 328:1252-1255. [PMID: 35930271 PMCID: PMC9356368 DOI: 10.1001/jama.2022.14092] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
This study screens more than 50 000 youths in diverse populations of Colorado and Bavaria to assess whether previous SARS-CoV-2 infection was associated with autoimmunity, which predicts future type 1 diabetes.
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Affiliation(s)
- Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado, Aurora
| | - Ezio Bonifacio
- Center for Regenerative Therapies, Technische Universität Dresden, Dresden, Germany
| | - Dominik Ewald
- Berufsverband der Kinder-und Jugendärzte eV, Landesverband Bayern, Regensburg, Germany
| | | | - Xiaofan Jia
- Barbara Davis Center for Diabetes, University of Colorado, Aurora
| | - Laura Pyle
- Barbara Davis Center for Diabetes, University of Colorado, Aurora
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
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17
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Pierce CA, Herold KC, Herold BC, Chou J, Randolph A, Kane B, McFarland S, Gurdasani D, Pagel C, Hotez P, Cobey S, Hensley SE. COVID-19 and children. Science 2022; 377:1144-1149. [PMID: 36074833 PMCID: PMC10324476 DOI: 10.1126/science.ade1675] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
There has been substantial research on adult COVID-19 and how to treat it. But how do severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections afflict children? The COVID-19 pandemic has yielded many surprises, not least that children generally develop less severe disease than older adults, which is unusual for a respiratory disease. However, some children can develop serious complications from COVID-19, such as multisystem inflammatory syndrome in children (MIS-C) and Long Covid, even after mild or asymptomatic COVID-19. Why this occurs in some and not others is an important question. Moreover, when children do contract COVID-19, understanding their role in transmission, especially in schools and at home, is crucial to ensuring effective mitigation measures. Therefore, in addition to nonpharmaceutical interventions, such as improved ventilation, there is a strong case to vaccinate children so as to reduce possible long-term effects from infection and to decrease transmission. But questions remain about whether vaccination might skew immune responses to variants in the long term. As the experts discuss below, more is being learned about these important issues, but much more research is needed to understand the long-term effects of COVID-19 in children.
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Affiliation(s)
- Carl A Pierce
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Kevan C Herold
- Departments of Immunobiology and of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Betsy C Herold
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Albert Einstein College of Medicine, Children's Hospital at Montefiore, Bronx, NY, USA
| | - Janet Chou
- Division of Immunology, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Adrienne Randolph
- Division of Immunology, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA
- Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Anaesthesia, Harvard Medical School, Boston, MA, USA
| | - Binita Kane
- Manchester University Foundation Trust and School of Biological Sciences, University of Manchester, Manchester, UK
| | | | - Deepti Gurdasani
- William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Christina Pagel
- Clinical Operational Research Unit, University College London, London, UK
| | - Peter Hotez
- Texas Children's Hospital Center for Vaccine Development, Departments of Pediatrics and Molecular Virology and Microbiology, National School of Tropical Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Biology, Baylor University, Waco, TX, USA
- Hagler Institute for Advanced Study, Texas A&M University, College Station, TX, USA
- Scowcroft Institute of International Affairs, Texas A&M University, College Station, TX, USA
- James A. Baker III Institute for Public Policy, Rice University, Houston, TX, USA
- School of Public Health, University of Texas, Houston, TX, USA
| | - Sarah Cobey
- Department of Ecology and Evolution, University of Chicago, Illinois, USA
| | - Scott E Hensley
- Department of Microbiology, University of Pennsylvania, Philadelphia, PA, USA
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Gurdasani D, Pagel C, McKee M, Michie S, Greenhalgh T, Yates C, Scally G, Ziauddeen H. Covid-19 in the UK: policy on children and schools. BMJ : BRITISH MEDICAL JOURNAL 2022. [DOI: 10.1136/bmj-2022-071234] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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19
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Kern A, Kuhlmann PH, Matl S, Ege M, Maison N, Eckert J, von Both U, Behrends U, Anger M, Frühwald MC, Gerstlauer M, Woelfle J, Neubert A, Melter M, Liese J, Goettler D, Sing A, Liebl B, Hübner J, Klein C. Surveillance of Acute SARS-CoV-2 Infections in Elementary Schools and Daycare Facilities in Bavaria, Germany (09/2020-03/2021). Front Pediatr 2022; 10:888498. [PMID: 35874561 PMCID: PMC9298551 DOI: 10.3389/fped.2022.888498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 06/03/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Here we report our results of a multi-center, open cohort study ("COVID-Kids-Bavaria") investigating the distribution of acute SARS-CoV-2 infections among children and staff in 99 daycare facilities and 48 elementary schools in Bavaria, Germany. Materials and Methods Overall, 2,568 children (1,337 school children, 1,231 preschool children) and 1,288 adults (466 teachers, 822 daycare staff) consented to participate in the study and were randomly tested in three consecutive phases (September/October 2020, November/December 2020, March 2021). In total, 7,062 throat swabs were analyzed for SARS-CoV-2 by commercial RT-PCR kits. Results In phase I, only one daycare worker tested positive. In phase II, SARS-CoV-2 was detected in three daycare workers, two preschool children, and seven school children. In phase III, no sample tested positive. This corresponds to a positive test rate of 0.05% in phase I, 0.4% in phase II and 0% in phase III. Correlation of a positive PCR test result with the local-7-day incidence values showed a strong association of a 7-day-incidence of more than 100/100,000 as compared to <100/100,000 (OR = 10.3 [1.5-438], p < 0.005). After phase III, antibody testing was offered to 713 study participants in elementary schools. A seroprevalence rate of 7.7% (students) and 4.5% (teachers) was determined. Discussion During the initial waves of the SARS-CoV-2 pandemic, the risk of a positive SARS-CoV-2 result correlated positively with the local 7-day incidence. Hence, the occurrence of SARS-CoV-2 infections were reflected in schools and daycare facilities. An increased risk of SARS-CoV-2 transmission in the setting of daycare and elementary schooling was unlikely.
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Affiliation(s)
- Anna Kern
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU Klinikum, Ludwig-Maximilians-Universität, Munich, Germany
| | - Pia H. Kuhlmann
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU Klinikum, Ludwig-Maximilians-Universität, Munich, Germany
| | - Stefan Matl
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU Klinikum, Ludwig-Maximilians-Universität, Munich, Germany
| | - Markus Ege
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU Klinikum, Ludwig-Maximilians-Universität, Munich, Germany
- German Center for Lung Research (DZL), Munich, Germany
| | - Nicole Maison
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU Klinikum, Ludwig-Maximilians-Universität, Munich, Germany
- German Center for Lung Research (DZL), Munich, Germany
- Helmholtz Center Munich, Institute for Asthma- and Allergy Prevention (IAP), German Research Center for Environmental Health (GmbH), Munich, Germany
| | - Jana Eckert
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU Klinikum, Ludwig-Maximilians-Universität, Munich, Germany
| | - Ulrich von Both
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU Klinikum, Ludwig-Maximilians-Universität, Munich, Germany
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Uta Behrends
- Department of Pediatrics, Kinderklinik München Schwabing, StKM GmbH und Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
| | - Melanie Anger
- Department of Pediatrics, Kinderklinik München Schwabing, StKM GmbH und Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
| | - Michael C. Frühwald
- Paediatric and Adolescent Medicine University Hospital Augsburg, Augsburg, Germany
| | - Michael Gerstlauer
- Paediatric and Adolescent Medicine University Hospital Augsburg, Augsburg, Germany
| | - Joachim Woelfle
- Department of Paediatric and Adolescent Medicine, Erlangen University Hospital, Erlangen, Germany
| | - Antje Neubert
- Department of Paediatric and Adolescent Medicine, Erlangen University Hospital, Erlangen, Germany
| | - Michael Melter
- University Children's Hospital Regensburg (KUNO), Regensburg, Germany
| | - Johannes Liese
- Department of Pediatrics, University Hospital Würzburg, Würzburg, Germany
| | - David Goettler
- Department of Pediatrics, University Hospital Würzburg, Würzburg, Germany
| | - Andreas Sing
- Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
| | - Bernhard Liebl
- Bavarian Health and Food Safety Authority, Oberschleißheim, Germany
| | - Johannes Hübner
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU Klinikum, Ludwig-Maximilians-Universität, Munich, Germany
| | - Christoph Klein
- Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU Klinikum, Ludwig-Maximilians-Universität, Munich, Germany
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20
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Clinical Significance of COVID-19 and Diabetes: In the Pandemic Situation of SARS-CoV-2 Variants including Omicron (B.1.1.529). BIOLOGY 2022; 11:biology11030400. [PMID: 35336774 PMCID: PMC8945151 DOI: 10.3390/biology11030400] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/01/2022] [Accepted: 03/03/2022] [Indexed: 02/06/2023]
Abstract
Simple Summary Amidst the dual pandemics of diabetes and coronavirus disease 2019 (COVID-19), with the constant emergence of novel variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a vicious cycle has been created, i.e., a hyperglycemic state contributes to the severe clinical course of COVID-19, which in turn has deleterious effects on glycometabolism and in some cases causes new-onset diabetes. Here, we present a comprehensive review of the current literature on the clinical and experimental findings associated with the interrelationship between diabetes and COVID-19. To control disease outcomes and glucometabolic complications in COVID-19, this issue is still being investigated. Abstract The coronavirus disease 2019 (COVID-19) global pandemic, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), remains uncontrolled, with the spread of emerging variants. According to accumulating evidence, diabetes is one of the leading risk factors for a severe COVID-19 clinical course, depending on the glycemic state before admission and during COVID-19 hospitalization. Multiple factors are thought to be responsible, including an altered immune response, coexisting comorbidity, and disruption of the renin-angiotensin system through the virus–host interaction. However, the precise underlying mechanisms remain under investigation. Alternatively, the focus is currently on the diabetogenic and ketosis-prone potential of SARS-CoV-2 itself, even for probable triggers of stress and steroid-induced hyperglycemia in COVID-19. In this article, we present a comprehensive review of the recent literature on the clinical and experimental findings associated with diabetes and COVID-19, and we discuss their bidirectional relationship, i.e., the risk for an adverse prognosis and the deleterious effects on glycometabolism. Accurate assessments of the incidence of new-onset diabetes induced by COVID-19 and its pathogenicity are still unknown, especially in the context of the circulation of SARS-CoV-2 variants, such as Omicron (B.1.1.529), which is a major challenge for the future.
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Häusler M, Kleines M. The SARS-CoV-2 pandemic in Germany may represent the sum of a large number of local but independent epidemics each initiated by individuals aged 10 - 19 years, middle aged males, or elderly individuals. J Med Virol 2022; 94:3087-3095. [PMID: 35229302 PMCID: PMC9088573 DOI: 10.1002/jmv.27682] [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: 01/17/2022] [Revised: 02/13/2022] [Accepted: 02/25/2022] [Indexed: 11/25/2022]
Abstract
Many epidemiological aspects of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemics, particularly those affecting children, are still sparsely elucidated. Data on the first pandemic phase during the year 2020 indicated that children might serve as a virus reservoir. We now analyzed data on more than 530 000 SARS‐CoV‐2 polymerase chain reaction (PCR) and 12 503 anti‐SARS‐CoV‐2 antibody tests performed in the west of Germany until Week 4 of 2021. We show that children of at least 10 years of age may play a prominent role in the pandemic showing highest PCR‐positive rates in the first (Weeks 28–35), second (Weeks 42–48), and third wave (Week 50 of 2020–Week 2 2021) of the second pandemic phase, although the waves were not mainly initiated by children. The waves' kinetics differed even in nearby cities. Low PCR‐positive rates were confined to areas of lower population density. PCR‐positive rates were higher among middle‐aged males compared with women and among very old females compared with males. From Week 25, seroprevalence rates slowly increased to 50%, indicating ongoing virus activity. In conclusion, the SARS‐CoV‐2 pandemics is characterized by many local but interacting epidemics, initiated and driven by different social groups. Children may not be the main initiators of virus spreading but older children may significantly affect the course of the pandemic. High population density is associated with higher SARS‐CoV‐2 incidence.
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Affiliation(s)
- Martin Häusler
- RWTH Aachen University Hospital, Division of Neuropediatrics & Social Pediatrics, Department of Pediatrics, Pauwelsstr. 30, D-52074, Aachen, Germany
| | - Michael Kleines
- RWTH Aachen University Hospital, Laboratory Diagnostic Center, Aachen, Germany
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22
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Wachter F, Regensburger AP, Antonia Sophia Peter, Knieling F, Wagner AL, Simon D, Hoerning A, Woelfle J, Überla K, Neubert A, Rauh M. Continuous monitoring of SARS-CoV-2 seroprevalence in children using residual blood samples from routine clinical chemistry. Clin Chem Lab Med 2022; 60:941-951. [PMID: 35218170 DOI: 10.1515/cclm-2022-0037] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 02/14/2022] [Indexed: 12/19/2022]
Abstract
OBJECTIVES The assessment of SARS-CoV-2 infections in children is still challenging, but essential for appropriate political decisions. The aim of this study was to investigate whether residual blood samples can be used for SARS-CoV-2 seroprevalence monitoring in pediatrics. METHODS In this repeated cross-sectional cohort study, anonymous residual blood samples from pediatric patients aged 0-17 years were collected in three time-periods (Oct.-Nov. 2020, April 2021, and June-July 2021) and analyzed for SARS-CoV-2 Spike protein (anti-S) and nucleocapsid (anti-N) antibodies using commercial antibody assays. 28 reactive samples were used to compare antibody levels with a pseudotyped neutralization assay. The results were further compared to the official national COVID-19 surveillance data to calculate the number of unreported cases. RESULTS In total, n=2,626 individual blood samples were analyzed. In this unvaccinated pediatric cohort anti-S and anti-N antibody seroprevalence increased over the three time periods (anti-S: 1.38-9.16%, and 14.59%; anti-N: 1.26%, to 6.19%, and 8.56%). Compared to the national surveillance data this leads to a 3.93-5.66-fold increase in the number of unreported cases. However, a correlation between the cumulative incidence of the individual provinces and our assigned data was found (r=0.74, p=0.0151). In addition, reactive samples with anti-S and anti-N and samples with only anti-S showed neutralization capabilities (11/14 and 8/14, respectively). Anti-S levels were not significantly different between age groups and sexes (all p>0.05). CONCLUSIONS The present study suggests that residual blood samples from routine laboratory chemistry could be included in the estimation of the total SARS-CoV-2 seroprevalence in children.
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Affiliation(s)
- Felix Wachter
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Adrian P Regensburger
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Antonia Sophia Peter
- Institute of Clinical and Molecular Virology, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Alexandra L Wagner
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - David Simon
- Department of Internal Medicine 3, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - André Hoerning
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Joachim Woelfle
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Klaus Überla
- Institute of Clinical and Molecular Virology, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Antje Neubert
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Manfred Rauh
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
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Cook BWM, Kobasa K, Tamayo M, Theriault N, Gordon Pappas D, Theriault SS. Implementation of a Rapid RT-LAMP Saliva-Based SARS-CoV-2 Testing Program in the Workplace. Diagnostics (Basel) 2022; 12:diagnostics12020474. [PMID: 35204565 PMCID: PMC8871197 DOI: 10.3390/diagnostics12020474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 01/28/2022] [Accepted: 02/10/2022] [Indexed: 11/16/2022] Open
Abstract
Rising SARS-CoV-2 cases, testing delays, and the risk of pre-symptomatic and asymptomatic transmission provided the impetus for an in-house rapid testing program. Employees and their household contacts were encouraged to self-collect saliva samples that were pooled for routine testing using an established colorimetric reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay. In brief, individual or a maximum of four saliva samples were pooled and heat-inactivated to render microorganisms, especially SARS-CoV-2, non-infectious prior to being added to RT-LAMP assay tubes containing either the human sample control gene, RNase P, or a region of the SARS-CoV-2 gene, ORF1ab. During the second wave of SARS-CoV-2 infections in November 2020, two samples from an employee and a member of their household tested positive via RT-LAMP within two days of each other. A delayed clinical qRT-PCR test confirmation of both individuals 5 days later underscored the power of routine rapid testing with within-the-hour turnaround times. Workplace rapid testing programs using RT-LAMP are flexible in their design, have a reduced cost compared to qRT-PCR, may involve non-invasive self-saliva collection for increased safety for the testing personnel, and can be performed with minimal training.
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Affiliation(s)
- Bradley W. M. Cook
- Cytophage Technologies Inc., Winnipeg, MB R3Y 1G4, Canada; (K.K.); (M.T.); (N.T.); (D.G.P.); (S.S.T.)
- Correspondence:
| | - Kaitlyn Kobasa
- Cytophage Technologies Inc., Winnipeg, MB R3Y 1G4, Canada; (K.K.); (M.T.); (N.T.); (D.G.P.); (S.S.T.)
| | - Marielou Tamayo
- Cytophage Technologies Inc., Winnipeg, MB R3Y 1G4, Canada; (K.K.); (M.T.); (N.T.); (D.G.P.); (S.S.T.)
| | - Natasha Theriault
- Cytophage Technologies Inc., Winnipeg, MB R3Y 1G4, Canada; (K.K.); (M.T.); (N.T.); (D.G.P.); (S.S.T.)
- Department of Microbiology, The University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Diane Gordon Pappas
- Cytophage Technologies Inc., Winnipeg, MB R3Y 1G4, Canada; (K.K.); (M.T.); (N.T.); (D.G.P.); (S.S.T.)
| | - Steven S. Theriault
- Cytophage Technologies Inc., Winnipeg, MB R3Y 1G4, Canada; (K.K.); (M.T.); (N.T.); (D.G.P.); (S.S.T.)
- Department of Microbiology, The University of Manitoba, Winnipeg, MB R3T 2N2, Canada
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Risk for severe outcomes of COVID-19 and PIMS-TS in children with SARS-CoV-2 infection in Germany. Eur J Pediatr 2022; 181:3635-3643. [PMID: 35962242 PMCID: PMC9374569 DOI: 10.1007/s00431-022-04587-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 07/26/2022] [Accepted: 08/04/2022] [Indexed: 11/10/2022]
Abstract
UNLABELLED Although children and adolescents have a lower burden of SARS-CoV-2-associated disease compared to adults, assessing the risk for severe outcomes among SARS-CoV-2-infected children remains difficult due to a high rate of undetected cases. We combine data from three data sources - a national seroprevalence study (the SARS-CoV-2 KIDS study), the nationwide, state-based reporting system for PCR-confirmed SARS-CoV-2 infections in Germany, and a nationwide registry on children and adolescents hospitalized with either SARS-CoV-2 or pediatric inflammatory multisystem syndrome (PIMS-TS, also known as MIS-C) - in order to provide estimates on the risk of hospitalization for COVID-19-related treatment, intensive care admission, and death due to COVID-19 and PIMS-TS in children. The rate of hospitalization for COVID-19-related treatment among all SARS-CoV-2 seropositive children was 7.13 per 10,000, ICU admission 2.21 per 10,000, and case fatality was 0.09 per 10,000. In children without comorbidities, the corresponding rates for severe or fatal disease courses were substantially lower. The lowest risk for the need of COVID-19-specific treatment was observed in children aged 5-11 without comorbidities. In this group, the ICU admission rate was 0.37 per 10,000, and case fatality could not be calculated due to the absence of cases. The overall PIMS-TS rate was 2.47 per 10,000 SARS-CoV-2 infections, the majority being children without comorbidities. CONCLUSION Overall, the SARS-CoV-2-associated burden of a severe disease course or death in children and adolescents is low. This seems particularly the case for 5-11-year-old children without comorbidities. By contrast, PIMS-TS plays a major role in the overall disease burden among all pediatric age groups. WHAT IS KNOWN • SARS-CoV-2-associated burden of disease in children is considered to be low, but accurate risk estimates accounting for clinically undiagnosed infections are lacking. • Asymptomatic SARS-CoV-2 infections are common in children. WHAT IS NEW • We provide risk estimates for hospitalization for COVID-19-related treatment, ICU admission, death from COVID-19, and PIMS-TS for children with SARS-CoV-2 infections by pooling different data sources. • The risk for PIMS-TS exceeds the risk for severe COVID-19 in all age groups; the risk for severe COVID-19 is the lowest in 5-11 years old.
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Boey L, Roelants M, Merckx J, Hens N, Desombere I, Duysburgh E, Vandermeulen C. Age-dependent seroprevalence of SARS-CoV-2 antibodies in school-aged children from areas with low and high community transmission. Eur J Pediatr 2022; 181:571-578. [PMID: 34455523 PMCID: PMC8402965 DOI: 10.1007/s00431-021-04222-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 06/01/2021] [Accepted: 07/26/2021] [Indexed: 12/20/2022]
Abstract
It is not yet clear to what extent SARS-CoV-2 infection rates in children reflect community transmission, nor whether infection rates differ between primary schoolchildren and young teenagers. A cross-sectional serosurvey compared the SARS-CoV2 attack-rate in a sample of 362 children recruited from September 21 to October 6, 2020, in primary (ages 6-12) or lower secondary school (ages 12-15) in a municipality with low community transmission (Pelt) to a municipality with high community transmission (Alken) in Belgium. Children were equally distributed over grades and regions. Blood samples were tested for the presence of antibodies to SARS-CoV-2 with an enzyme-linked immunosorbent assay. We found anti-SARS-CoV-2 antibodies in 4.4% of children in the low transmission region and in 14.4% of children in the high transmission region. None of the primary schoolchildren were seropositive in the low transmission region, whereas the seroprevalence among primary and secondary schoolchildren did not differ significantly in the high transmission region. None of the seropositive children suffered from severe disease. Children who were in contact with a confirmed case (RR 2.9; 95%CI 1.6-4.5), who participated in extracurricular activities (RR 5.6; 95%CI 1.2-25.3), or whose caregiver is a healthcare worker who had contact with COVID-19 patients (RR 2.2; 95%CI 1.0-4.6) were at higher risk of seropositivity. If SARS-CoV2 circulation in the community is high, this will be reflected in the pediatric population with similar infection rates in children aged 6-12 years and 12-15 years. What is Known: •Children are generally less affected by COVID-19 than adults but SARS-CoV2 infection rates among children are not well known. •There were large regional differences in infection rates during the first wave of the SARS-CoV2 pandemic. What is New: •None of the primary schoolchildren (6-12 years) were seropositive for SARS-CoV2 in an area with a low community transmission, but infection rates were higher in adolescents (12-15 years). •In an area with high community transmission, seroprevalence rates in younger children were more comparable to those in adolescents.
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Affiliation(s)
- Lise Boey
- Environment and Health, Department of Public Health and Primary Care, Leuven University Vaccinology Center, KU Leuven, Leuven, Belgium.
| | - Mathieu Roelants
- Environment and Health, Department of Public Health and Primary Care, Leuven University Vaccinology Center, KU Leuven, Leuven, Belgium
| | - Joanna Merckx
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC Canada
| | - Niel Hens
- Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium ,Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, Centre for Health Economic Research, University of Antwerp, Antwerp, Belgium
| | - Isabelle Desombere
- Infectious Diseases in Humans, Sciensano (Public Health Belgium), Brussels, Belgium
| | - Els Duysburgh
- Epidemiology and Public Health, Sciensano (Public Health Belgium), Brussels, Belgium
| | - Corinne Vandermeulen
- Environment and Health, Department of Public Health and Primary Care, Leuven University Vaccinology Center, KU Leuven, Leuven, Belgium
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Ruf S, Hommes F, van Loon W, Seybold J, Kurth T, Mall MA, Mockenhaupt FP, Theuring S. A Retrospective Outbreak Investigation of a COVID-19 Case Cluster in a Berlin Kindergarten, November 2020. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 19:36. [PMID: 35010296 PMCID: PMC8751229 DOI: 10.3390/ijerph19010036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 12/14/2021] [Accepted: 12/18/2021] [Indexed: 06/14/2023]
Abstract
While SARS-CoV-2 infection activity in German kindergartens during the first year of the pandemic appeared to be overall low, outbreaks did occur. We retrospectively investigated an outbreak in November and December 2020 in a Berlin kindergarten participating in the Berlin Corona School and Kindergarten Study (BECOSS). Interviews were conducted with affected families regarding symptomatology, contact persons and possible sources of infection, as well as relevant information on the conditions on-site and infection prevention measures. A chronology of the outbreak was elaborated, and based on data on contacts and symptoms, we mapped the most likely chains of infection. Overall, 24 individuals, including ten educators, seven children, and seven household members, were infected with SARS-CoV-2 in a four-week time interval. Courses of infection ranged from asymptomatic to severe, with children less affected by symptoms. Viral spread within the facility seemed to occur mainly through kindergarten staff, while children primarily transmitted infections within their families. Interviewees reported that hygiene measures were not always adhered to inside the facility. To prevent outbreaks in kindergartens, especially in the light of current and newly emerging viral variants of concern, strict compliance to hygiene rules, staff vaccinations against SARS-CoV-2, and immediate reaction to suspected cases by quarantining and frequent testing seem reasonable measures.
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Affiliation(s)
- Sebastian Ruf
- Institute of Tropical Medicine and International Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 13353 Berlin, Germany; (S.R.); (F.H.); (W.v.L.); (F.P.M.)
| | - Franziska Hommes
- Institute of Tropical Medicine and International Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 13353 Berlin, Germany; (S.R.); (F.H.); (W.v.L.); (F.P.M.)
| | - Welmoed van Loon
- Institute of Tropical Medicine and International Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 13353 Berlin, Germany; (S.R.); (F.H.); (W.v.L.); (F.P.M.)
| | - Joachim Seybold
- Medical Directorate, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117 Berlin, Germany;
| | - Tobias Kurth
- Institute of Public Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117 Berlin, Germany;
| | - Marcus A. Mall
- Department of Pediatric Respiratory Medicine, Immunology and Intensive Care Medicine, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 13353 Berlin, Germany;
| | - Frank P. Mockenhaupt
- Institute of Tropical Medicine and International Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 13353 Berlin, Germany; (S.R.); (F.H.); (W.v.L.); (F.P.M.)
| | - Stefanie Theuring
- Institute of Tropical Medicine and International Health, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 13353 Berlin, Germany; (S.R.); (F.H.); (W.v.L.); (F.P.M.)
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Caldara R, Maffi P, Costa S, Bazzigaluppi E, Brigatti C, Lampasona V, Magistretti P, Manenti F, Marzinotto I, Pellegrini S, Scavini M, Secchi A, Piemonti L. COVID-19 in Solid Organ Transplant Recipient: Exploring Cumulative Incidence, Seroprevalence and Risk Factors for Disease Severity. BIOLOGY 2021; 10:1349. [PMID: 34943264 PMCID: PMC8698537 DOI: 10.3390/biology10121349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Solid organ transplant (SOT) recipients may be at increased risk for severe disease and mortality from COVID-19 because of immunosuppression and prolonged end-stage organ disease. As a transplant center serving a diverse patient population, we report the cumulative incidence and outcomes of SARS-CoV-2 infection in our cohort of SOT recipients. METHODS We prospectively included in this observational study SOT recipients with a functioning kidney (n = 201), pancreas ± kidney (n = 66) or islet transplant (n = 24), attending outpatient regular follow-up at the San Raffaele Hospital from February 2020 to April 2021. Antibodies to SARS-CoV-2 were tested in all patients by a luciferase immunoprecipitation system assay. RESULTS Of the 291 SOT recipients, 30 (10.3%) tested positive for SARS-CoV-2 during the study period and prevalence was not different among different transplants. The SARS-CoV-2 antibody frequency was around 2.6-fold higher than the incidence of cases who tested positive for SARS-CoV-2 RT-PCR. As for the WHO COVID-19 severity classification, 19 (63.3%) SOT recipients were mild, nine (30%) were moderate, and two were critical and died yielding a crude mortality rate in our patient population of 6.7%. Kidney transplant (OR 12.9 (1.1-150) p = 0.041) was associated with an increased risk for moderate/critical disease, while statin therapy (OR 0.116 (0.015-0.926) p = 0.042) and pancreas/islet transplant (OR 0.077 (0.007-0.906) p = 0.041) were protective. CONCLUSIONS The incidence of SARS-CoV-2 infection in SOT recipients may be higher than previously described. Due to the relative high crude mortality, symptomatic SOT recipients must be considered at high risk in case of SARS-CoV-2 infection.
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Affiliation(s)
- Rossana Caldara
- Clinical Transplant Unit, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (R.C.); (P.M.); (A.S.)
| | - Paola Maffi
- Clinical Transplant Unit, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (R.C.); (P.M.); (A.S.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Sabrina Costa
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
| | - Elena Bazzigaluppi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
| | - Cristina Brigatti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
| | - Vito Lampasona
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
| | - Paola Magistretti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
| | - Fabio Manenti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
| | - Ilaria Marzinotto
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
| | - Silvia Pellegrini
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
| | - Marina Scavini
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
| | - Antonio Secchi
- Clinical Transplant Unit, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (R.C.); (P.M.); (A.S.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Lorenzo Piemonti
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, 20132 Milan, Italy
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (S.C.); (E.B.); (C.B.); (V.L.); (P.M.); (F.M.); (I.M.); (S.P.); (M.S.)
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Lordan R, Prior S, Hennessy E, Naik A, Ghosh S, Paschos GK, Skarke C, Barekat K, Hollingsworth T, Juska S, Mazaleuskaya LL, Teegarden S, Glascock AL, Anderson S, Meng H, Tang SY, Weljie A, Bottalico L, Ricciotti E, Cherfane P, Mrcela A, Grant G, Poole K, Mayer N, Waring M, Adang L, Becker J, Fries S, FitzGerald GA, Grosser T. Considerations for the Safe Operation of Schools During the Coronavirus Pandemic. Front Public Health 2021; 9:751451. [PMID: 34976917 PMCID: PMC8716382 DOI: 10.3389/fpubh.2021.751451] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 11/18/2021] [Indexed: 12/25/2022] Open
Abstract
During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, providing safe in-person schooling has been a dynamic process balancing evolving community disease burden, scientific information, and local regulatory requirements with the mandate for education. Considerations include the health risks of SARS-CoV-2 infection and its post-acute sequelae, the impact of remote learning or periods of quarantine on education and well-being of children, and the contribution of schools to viral circulation in the community. The risk for infections that may occur within schools is related to the incidence of SARS-CoV-2 infections within the local community. Thus, persistent suppression of viral circulation in the community through effective public health measures including vaccination is critical to in-person schooling. Evidence suggests that the likelihood of transmission of SARS-CoV-2 within schools can be minimized if mitigation strategies are rationally combined. This article reviews evidence-based approaches and practices for the continual operation of in-person schooling.
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Affiliation(s)
- Ronan Lordan
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Samantha Prior
- Faculty of Science & Engineering, University of Limerick, Limerick, Ireland
| | - Elizabeth Hennessy
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Amruta Naik
- Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Soumita Ghosh
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Georgios K. Paschos
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Carsten Skarke
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Kayla Barekat
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Taylor Hollingsworth
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sydney Juska
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Liudmila L. Mazaleuskaya
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sarah Teegarden
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Abigail L. Glascock
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Sean Anderson
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Hu Meng
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Soon-Yew Tang
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Aalim Weljie
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Lisa Bottalico
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Emanuela Ricciotti
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Perla Cherfane
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Antonijo Mrcela
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Gregory Grant
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Kristen Poole
- Department of English, University of Delaware, Newark, DE, United States
| | - Natalie Mayer
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Michael Waring
- Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, PA, United States
| | - Laura Adang
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Julie Becker
- Division of Public Health, University of the Sciences, Philadelphia, PA, United States
| | - Susanne Fries
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Garret A. FitzGerald
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Tilo Grosser
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Gornyk D, Harries M, Glöckner S, Strengert M, Kerrinnes T, Heise JK, Maaß H, Ortmann J, Kessel B, Kemmling Y, Lange B, Krause G. SARS-CoV-2 Seroprevalence in Germany. DEUTSCHES ARZTEBLATT INTERNATIONAL 2021; 118:824-831. [PMID: 35191825 PMCID: PMC8888869 DOI: 10.3238/arztebl.m2021.0364] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 05/10/2021] [Accepted: 10/08/2021] [Indexed: 01/25/2023]
Abstract
BACKGROUND Until now, information on the spread of SARS-CoV-2 infections in Germany has been based mainly on data from the public health offices. It may be assumed that these data do not include many cases of asymptomatic and mild infection. METHODS We determined seroprevalence over the course of the pandemic in a sequential, multilocal seroprevalence study (MuSPAD). Study participants were recruited at random in seven administrative districts (Kreise) in Germany from July 2020 onward; each participant was tested at two different times 3-5 months apart. Test findings on blood samples were used to determine the missed-case rate of reported infections, the infection fatality rate (IFR), and the association between seropositivity and demographic, socio-economic, and health-related factors, as well as to evaluate the self-reported results of PCR and antigenic tests. The registration number of this study is DRKS00022335. RESULTS Among non-vaccinated persons, the seroprevalence from July to December 2020 was 1.3-2.8% and rose between February and May 2021 to 4.1-13.1%. In July 2021, 35% of tested persons in Chemnitz were not vaccinated, and the seroprevalence among these persons was 32.4% (07/2021). The surveillance detection ratio (SDR), i.e., the ratio between the true number of infections estimated from seroprevalence and the actual number or reported infections, varied among the districts included in the study from 2.2 to 5.1 up to December 2020 and from 1.3 to 2.9 up to June 2021, and subsequently declined. The IFR was in the range of 0.8% to 2.4% in all regions except Magdeburg, where a value of 0.3% was calculated for November 2020. A lower educational level was associated with a higher seropositivity rate, smoking with a lower seropositivity rate. On average, 1 person was infected for every 8.5 persons in quarantine. CONCLUSION Seroprevalence was low after the first wave of the pandemic but rose markedly during the second and third waves. The missed-case rate trended downward over the course of the pandemic.
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Affiliation(s)
- Daniela Gornyk
- Department of Epidemiology, Helmholtz Center for Infection Research, Braunschweig; RNA Biology of Bacterial Infections, Helmholtz Institute for RNA-Based Infection Research, Würzburg; TI Bioresources, Biodata, and Digital Health (TI BBD), German Center for Infection Research (DZIF), Braunschweig; TWINCORE, Center for Experimental and Clinical Infection Research, Hanover
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Metwally AA, Mehta P, Johnson BS, Nagarjuna A, Snyder MP. COVID-19-Induced New-Onset Diabetes: Trends and Technologies. Diabetes 2021; 70:2733-2744. [PMID: 34686519 PMCID: PMC8660988 DOI: 10.2337/dbi21-0029] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 09/23/2021] [Indexed: 01/15/2023]
Abstract
The coronavirus disease 2019 (COVID-19) global pandemic continues to spread worldwide with approximately 216 million confirmed cases and 4.49 million deaths to date. Intensive efforts are ongoing to combat this disease by suppressing viral transmission, understanding its pathogenesis, developing vaccination strategies, and identifying effective therapeutic targets. Individuals with preexisting diabetes also show higher incidence of COVID-19 illness and poorer prognosis upon infection. Likewise, an increased frequency of diabetes onset and diabetes complications has been reported in patients following COVID-19 diagnosis. COVID-19 may elevate the risk of hyperglycemia and other complications in patients with and without prior diabetes history. It is unclear whether the virus induces type 1 or type 2 diabetes or instead causes a novel atypical form of diabetes. Moreover, it remains unknown if recovering COVID-19 patients exhibit a higher risk of developing new-onset diabetes or its complications going forward. The aim of this review is to summarize what is currently known about the epidemiology and mechanisms of this bidirectional relationship between COVID-19 and diabetes. We highlight major challenges that hinder the study of COVID-19-induced new-onset of diabetes and propose a potential framework for overcoming these obstacles. We also review state-of-the-art wearables and microsampling technologies that can further study diabetes management and progression in new-onset diabetes cases. We conclude by outlining current research initiatives investigating the bidirectional relationship between COVID-19 and diabetes, some with emphasis on wearable technology.
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Affiliation(s)
- Ahmed A Metwally
- Department of Genetics, Stanford University, Stanford, CA
- Illumina Artificial Intelligence Laboratory, Illumina Inc., San Diego, CA
- Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt
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31
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Thamm R, Buttmann-Schweiger N, Fiebig J, Poethko-Müller C, Prütz F, Sarganas G, Neuhauser H. [Seroprevalence of SARS-CoV-2 among children and adolescents in Germany-an overview]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2021; 64:1483-1491. [PMID: 34731291 PMCID: PMC8563819 DOI: 10.1007/s00103-021-03448-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/06/2021] [Indexed: 01/26/2023]
Abstract
Hintergrund SARS-CoV-2-Antikörperstudien ergänzen und erweitern die Erkenntnisse aus der Meldestatistik laborbestätigter COVID-19-Fälle um Informationen zu unentdeckten Fällen. Ziel der Arbeit Der vorliegende Beitrag fasst bisherige Ergebnisse zur SARS-CoV-2-Prävalenz aus seroepidemiologischen Studien in Deutschland zusammen, die sich auf Kinder und Jugendliche konzentrieren, und ergänzt die bereits vorliegende Übersicht zur Seroprävalenz bei Erwachsenen und speziell bei Blutspendenden in Deutschland. Material und Methoden Die Ergebnisse der Übersichtsarbeit beruhen auf einer fortlaufenden systematischen Recherche in Studienregistern, Literaturdatenbanken, von Preprint-Veröffentlichungen und Medienberichten seroepidemiologischer Studien in Deutschland sowie deren Ergebnissen. Ergebnisse Mit Stand 17.09.2021 sind uns 16 deutsche seroepidemiologische Studien, die sich auf Kinder und Jugendliche konzentrieren, bekannt geworden. Für 9 dieser Studien liegen Ergebnisse vor. Für fast alle untersuchten Settings lag die SARS-CoV-2-Seroprävalenz für Kinder im Kita- und Grundschulalter in der ersten COVID-19-Welle deutlich unter 1 % und für Jugendliche unter 2 %. Im Verlauf der Pandemie wurden höhere Seroprävalenzen von bis zu 8 % für Kinder im Grundschulalter ermittelt. Diskussion Ergebnisse von SARS-CoV-2-Antikörperstudien bei Kindern und Jugendlichen in Deutschland liegen bislang erst in geringem Umfang und basierend auf lokal-regionalen, nichtrepräsentativen Stichproben vor. In künftigen Studien gilt es, einerseits abzuschätzen, welcher Anteil der Kinder und Jugendlichen bereits eine Infektion hatte oder geimpft ist. Zum anderen gilt es, die Verbreitung körperlicher und psychischer Beeinträchtigungen im Nachgang einer Infektion zu untersuchen.
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Affiliation(s)
- Roma Thamm
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland.
| | - Nina Buttmann-Schweiger
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Julia Fiebig
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Christina Poethko-Müller
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Franziska Prütz
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Giselle Sarganas
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Hannelore Neuhauser
- Abteilung Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
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Thielecke M, Theuring S, van Loon W, Hommes F, Mall MA, Rosen A, Böhringer F, von Kalle C, Kirchberger V, Kurth T, Seybold J, Mockenhaupt FP. SARS-CoV-2 infections in kindergartens and associated households at the start of the second wave in Berlin, Germany-a cross-sectional study. Eur J Public Health 2021; 31:1105-1107. [PMID: 33956945 DOI: 10.1101/2020.12.08.20245910] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023] Open
Abstract
Actual surveys in kindergartens on SARS-CoV-2 infections are rare. At the beginning of the second pandemic wave, we screened 12 randomly selected kindergartens in Berlin, Germany. A total of 720 participants (pre-school children, staff and connected household members) were briefly examined and interviewed, and SARS-CoV-2 infections and anti-SARS-Cov-2 IgG antibodies were assessed. About a quarter of the participants showed common cold-resembling symptoms. However, no SARS-CoV-2 infection was detected, and only one childcare worker showed IgG seroreactivity. Against a backdrop of increased pandemic activity in the community, this cross-sectional study does not suggest that kindergartens are silent transmission reservoirs.
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Affiliation(s)
- Marlene Thielecke
- Institute of Tropical Medicine and International Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Stefanie Theuring
- Institute of Tropical Medicine and International Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Welmoed van Loon
- Institute of Tropical Medicine and International Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Franziska Hommes
- Institute of Tropical Medicine and International Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Marcus A Mall
- Department of Pediatric Pulmonology, Immunology and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Alexander Rosen
- Department of Pediatric Pulmonology, Immunology and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Falko Böhringer
- Labor Berlin-Charité Vivantes Services GmbH, Berlin, Germany
| | - Christof von Kalle
- Clinical Study Center, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Valerie Kirchberger
- Medical Directorate, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Tobias Kurth
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Joachim Seybold
- Medical Directorate, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
| | - Frank P Mockenhaupt
- Institute of Tropical Medicine and International Health, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany
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Pinilla YT, Friessinger E, Griesbaum JM, Berner L, Heinzel C, Elsner K, Fendel R, Held J, Kreidenweiss A. Prevalence of SARS-CoV-2 Infection in Children by Antibody Detection in Saliva: Protocol for a Prospective Longitudinal Study (Coro-Buddy). JMIR Res Protoc 2021; 10:e27739. [PMID: 34533472 PMCID: PMC8510152 DOI: 10.2196/27739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 07/22/2021] [Accepted: 08/10/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The world has been confronted with the COVID-19 pandemic for more than one year. Severe disease is more often found among elderly people, whereas most young children and adolescents show mild symptoms or even remain asymptomatic, so that infection might be undiagnosed. Therefore, only limited epidemiological data on SARS-CoV-2 infection in children and young adults are available. OBJECTIVE This study aims to determine the prevalence of SARS-CoV-2 antibodies in children from the city of Tübingen, Germany, and to measure the incidence of new cases over 12 months. METHODS SARS-CoV-2 antibodies will be measured in saliva as a surrogate for a previous SARS-CoV-2 infection. Children will be sampled at their preschools, primary schools, and secondary schools at three time points: July 2020, October to December 2020, and April to July 2021. An adult cohort will be sampled at the same time points (ie, adult comparator group). The saliva-based SARS-CoV-2-antibody enzyme-linked immunosorbent assay will be validated using blood and saliva samples from adults with confirmed previous SARS-CoV-2 infections (ie, adult validation group). RESULTS The first study participant was enrolled in July 2020, and recruitment and enrollment continued until July 2021. We have recruited and enrolled 1850 children, 560 adults for the comparator group, and 83 adults for the validation group. We have collected samples from the children and the adults for the comparator group at the three time points. We followed up with participants in the adult validation group every 2 months and, as of the writing of this paper, we were at time point 7. We will conduct data analysis after the data collection period. CONCLUSIONS Infection rates in children are commonly underreported due to a lack of polymerase chain reaction testing. This study will report on the prevalence of SARS-CoV-2 infections in infants, school children, and adolescents as well as the incidence change over 12 months in the city of Tübingen, Germany. The saliva sampling approach for SARS-CoV-2-antibody measurement allows for a unique, representative, population-based sample collection process. TRIAL REGISTRATION ClinicalTrials.gov NCT04581889; https://clinicaltrials.gov/ct2/show/NCT04581889. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/27739.
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Affiliation(s)
- Yudi T Pinilla
- Institut für Tropenmedizin, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Evelyn Friessinger
- Institut für Tropenmedizin, Universitätsklinikum Tübingen, Tübingen, Germany
| | | | - Lilith Berner
- Institut für Tropenmedizin, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Constanze Heinzel
- Institut für Tropenmedizin, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Käthe Elsner
- Institut für Tropenmedizin, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Rolf Fendel
- Institut für Tropenmedizin, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Jana Held
- Institut für Tropenmedizin, Universitätsklinikum Tübingen, Tübingen, Germany
- Centre de Recherches Médicales de Lambaréné, Lambaréné, Gabon
- German Center for Infection Research, partner site Tübingen, Tübingen, Germany
| | - Andrea Kreidenweiss
- Institut für Tropenmedizin, Universitätsklinikum Tübingen, Tübingen, Germany
- Centre de Recherches Médicales de Lambaréné, Lambaréné, Gabon
- German Center for Infection Research, partner site Tübingen, Tübingen, Germany
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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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Assessment of SARS-CoV-2 Anti-Spike IgG Antibody in Women and Children in Madinah, Saudi Arabia: A Single-Center Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18199971. [PMID: 34639276 PMCID: PMC8507915 DOI: 10.3390/ijerph18199971] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/07/2021] [Accepted: 09/17/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Information on the prevalence of SARS-CoV-2 antibodies in women and children in Madinah has been limited. The current study aimed to evaluate SARS-CoV-2 IgG seropositivity among women and children at Madinah Maternity and Children's Hospital. METHODS In this cross-sectional study, 579 participants were recruited between January and April 2021 from Madinah Maternity and Children's Hospital, Saudi Arabia. Data concerning age, sex (for children), blood group, and height and weight (for women) were collected from the hospital database. SARS-CoV-2 anti-spike (anti-S) IgG antibodies were detected by enzyme-linked immunosorbent assay (ELISA). RESULTS Over 58% of children (n = 195), including 60% of children ≤ 1 year (n = 75), and 50.2% (n = 124) of women were SARS-CoV-2 anti-S IgG seropositive. Significantly higher anti-S IgG levels were observed in children than in women (0.78 ± 1.05 vs. 0.65 ± 0.98, p = 0.008). Compared with women, children had higher odds of high SARS-CoV-2 anti-S IgG levels (odds ratio: 1.41; 95% confidence interval: 1.01-1.97; p = 0.041). No significant associations were observed for anti-S IgG levels with age in women or children or with body mass index among women. CONCLUSION Non-reported COVID-19 infections were more prevalent among children than women, and non-reported COVID-19 infections children represent a viral transmission risk; therefore, increased screening, especially among school-aged children, may represent an important COVID-19 preventive control measure.
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Styer LM, Hoen R, Rock J, Yauney E, Nemeth K, Bievenue R, Parker MM. High-Throughput Multiplex SARS-CoV-2 IgG Microsphere Immunoassay for Dried Blood Spots: A Public Health Strategy for Enhanced Serosurvey Capacity. Microbiol Spectr 2021; 9:e0013421. [PMID: 34319133 PMCID: PMC8552730 DOI: 10.1128/spectrum.00134-21] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/02/2021] [Indexed: 12/23/2022] Open
Abstract
Early in the pandemic when diagnostic testing was not widely available, serosurveys played an important role in estimating the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in different populations. Dried blood spots (DBS), which can be collected in nonclinical settings, provide a minimally invasive alternative to serum for serosurveys. We developed a Luminex-based SARS-CoV-2 microsphere immunoassay (MIA) for DBS that detects IgG antibodies to nucleocapsid (N) and spike subunit 1 (S1) antigens. The assay uses a 384-well plate format and automated liquid handlers for high-throughput capacity. Specificity was assessed using a large collection of prepandemic DBS and well-characterized sera. Sensitivity was analyzed using serology data from New York State SARS-CoV-2 serosurvey testing and matched diagnostic test results. For DBS, the specificity was 99.5% for the individual N and S1 antigens. Median fluorescence intensity (MFI) values for DBS and paired sera showed a strong positive correlation for N (R2 = 0.91) and S1 (R2 = 0.93). Sensitivity, assessed from 1,134 DBS with prior laboratory-confirmed SARS-CoV-2 infection, ranged from 83% at 0 to 20 days to 95% at 61 to 90 days after a positive test. When stratified using coronavirus disease 2019 (COVID-19) symptom data, sensitivity ranged from 90 to 96% for symptomatic and 77 to 91% for asymptomatic individuals. For 8,367 health care workers reporting detailed symptom data, MFI values were significantly higher for all symptom categories. Our results indicate that the SARS-CoV-2 IgG DBS MIA is sensitive, specific, and well-suited for large population-based serosurveys. The ability to readily modify and multiplex antigens is important for ongoing assessment of SARS-CoV-2 antibody responses to emerging variants and vaccines. IMPORTANCE Testing for antibodies to SARS-CoV-2 has been used to estimate the prevalence of COVID-19 in different populations. Seroprevalence studies, or serosurveys, were especially useful during the early phase of the pandemic when diagnostic testing was not widely available, and the resulting seroprevalence estimates played an important role in public health decision making. To achieve meaningful results, antibody tests used for serosurveys should be accurate and accessible to diverse populations. We developed a test that detects antibodies to two different SARS-CoV-2 proteins in dried blood spots (DBS). DBS require only a simple fingerstick and can be collected in nonclinical settings. We conducted a robust validation study and have demonstrated that our test is both sensitive and specific. Furthermore, we demonstrated that our test is suitable for large-scale serosurveys by testing over 56,000 DBS collected in a variety of community-based venues in New York State during the spring of 2020.
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Affiliation(s)
- Linda M. Styer
- Wadsworth Center, New York State Department of Health, Albany, New York, USA
- Department of Biomedical Sciences, School of Public Health, University at Albany, Albany, New York, USA
| | - Rebecca Hoen
- Bureau of Surveillance and Data Systems, New York State Department of Health, Albany, New York, USA
| | - Jean Rock
- Wadsworth Center, New York State Department of Health, Albany, New York, USA
| | - Erica Yauney
- Wadsworth Center, New York State Department of Health, Albany, New York, USA
| | - Katherine Nemeth
- Wadsworth Center, New York State Department of Health, Albany, New York, USA
| | - Rachel Bievenue
- Wadsworth Center, New York State Department of Health, Albany, New York, USA
| | - Monica M. Parker
- Wadsworth Center, New York State Department of Health, Albany, New York, USA
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Weinert S, Thronicke A, Hinse M, Schad F, Matthes H. School Teachers' Self-Reported Fear and Risk Perception during the COVID-19 Pandemic-A Nationwide Survey in Germany. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:9218. [PMID: 34501807 PMCID: PMC8430488 DOI: 10.3390/ijerph18179218] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/23/2021] [Accepted: 08/27/2021] [Indexed: 12/24/2022]
Abstract
With the coronavirus disease 2019 (COVID-19) cases peaking and health systems reaching their limits in winter 2020/21, schools remained closed in many countries. To better understand teachers' risk perception, we conducted a survey in Germany. Participants were recruited through various associations and invited to take part in a cross-sectional COVID-19-specific online survey. Descriptive statistical analysis was performed. Factors associated with teachers' fears of contracting the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) were evaluated with an adjusted multivariable regression analysis. The median age of the 6753 participating teachers was 43 years, and 77% were female. Most teachers worked in high schools (29%) and elementary schools (26%). The majority of participants (73%) feared contracting SARS-CoV-2 at school, while 77% intended to receive their COVID-19 vaccination. Ninety-eight percent considered students to pose the greatest risk. Female and younger teachers were significantly more anxious to get infected and teachers who opposed the re-opening of schools had significantly higher odds of being more anxious (p < 0.001). To the authors' knowledge, this is the first study to describe teachers' risk perception of COVID-19 and their attitudes towards vaccinations in a nationwide survey. The anxiety correlates with the COVID-19 protection measures demanded and appears to be a driving factor rather than rational logic.
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Affiliation(s)
- Stefanie Weinert
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany; (A.T.); (M.H.); (H.M.)
| | - Anja Thronicke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany; (A.T.); (M.H.); (H.M.)
- Research Institute Havelhöhe (FIH), Department Network Oncology, Kladower Damm 221, Berlin, Germany;
| | - Maximilian Hinse
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany; (A.T.); (M.H.); (H.M.)
| | - Friedemann Schad
- Research Institute Havelhöhe (FIH), Department Network Oncology, Kladower Damm 221, Berlin, Germany;
- Interdisciplinary Oncology and Palliative Care, Hospital Gemeinschaftskrankenhaus Havelhöhe, Berlin, Germany
| | - Harald Matthes
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany; (A.T.); (M.H.); (H.M.)
- Research Institute Havelhöhe (FIH), Department Network Oncology, Kladower Damm 221, Berlin, Germany;
- Medical Clinic for Gastroenterology, Infectiology and Rheumatology CBF, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
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Popova AY, Smirnov VS, Andreeva EE, Babura EA, Balakhonov SV, Bashketova NS, Bugorkova SA, Bulanov MV, Valeullina NN, Vetrov VV, Goryaev DV, Detkovskaya TN, Ezhlova EB, Zaitseva NN, Istorik OA, Kovalchuk IV, Kozlovskikh DN, Kombarova SY, Kurganova OP, Lomovtsev AE, Lukicheva LA, Lyalina LV, Melnikova AA, Mikailova OM, Noskov AK, Noskova LN, Oglezneva EE, Osmolovskaya TP, Patyashina MA, Penkovskaya NA, Samoilova LV, Stepanova TF, Trotsenko OE, Totolian AA. SARS-CoV-2 Seroprevalence Structure of the Russian Population during the COVID-19 Pandemic. Viruses 2021. [PMID: 34452512 DOI: 10.3390/v13081648.pmid:34452512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
The SARS-CoV-2 pandemic, which came to Russia in March 2020, is accompanied by morbidity level changes and can be tracked using serological monitoring of a representative population sample from Federal Districts (FDs) and individual regions. In a longitudinal cohort study conducted in 26 model regions of Russia, distributed across all FDs, we investigated the distribution and cumulative proportions of individuals with antibodies (Abs) to the SARS-CoV-2 nucleocapsid antigen (Ag), in the period from June to December 2020, using a three-phase monitoring process. In addition, during the formation of the cohort of volunteers, the number of seropositive convalescents, persons who had contact with patients or COVID-19 convalescents, and the prevalence of asymptomatic forms of infection among seropositive volunteers were determined. According to a uniform methodology, 3 mL of blood was taken from the examined individuals, and plasma was separated, from which the presence of Abs to nucleocapsid Ag was determined on a Thermo Scientific Multiascan FC device using the "ELISA anti-SARS-CoV-2 IgG" reagent set (prod. Scientific Center for Applied Microbiology and Biotechnology), in accordance with the developer's instructions. Volunteers (74,158) were surveyed and divided into seven age groups (1-17, 18-29, 30-39, 40-49, 59-59, 60-69, and 70+ years old), among whom 14,275 were identified as having antibodies to SARS-CoV-2. The average percent seropositive in Russia was 17.8% (IQR: 8.8-23.2). The largest proportion was found among children under 17 years old (21.6% (IQR: 13.1-31.7). In the remaining groups, seroprevalence ranged from 15.6% (IQR: 8-21.1) to 18.0% (IQR: 13.4-22.6). During monitoring, three (immune) response groups were found: (A) groups with a continuous increase in the proportion of seropositive; (B) those with a slow rate of increase in seroprevalence; and (C) those with a two-phase curve, wherein the initial increase was replaced by a decrease in the percentage of seropositive individuals. A significant correlation was revealed between the number of COVID-19 convalescents and contact persons, and between the number of contacts and healthy seropositive volunteers. Among the seropositive volunteers, more than 93.6% (IQR: 87.1-94.9) were asymptomatic. The results show that the COVID-19 pandemic is accompanied by an increase in seroprevalence, which may be important for the formation of herd immunity.
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Affiliation(s)
- Anna Y Popova
- Federal Service for Supervision of Consumer Rights Protection and Human Welfare, 127994 Moscow, Russia
| | | | | | - Elena A Babura
- Rospotrebnadzor Administration in the Kaliningrad Region, 236040 Kaliningrad, Russia
| | | | | | | | - Maxim V Bulanov
- Center for Hygiene and Epidemiology of the Vladimir Region, 600005 Vladimir, Russia
| | - Natalia N Valeullina
- Rospotrebnadzor Administration in the Chelyabinsk Region, 454091 Chelyabinsk, Russia
| | | | - Dmitriy V Goryaev
- Rospotrebnadzor Administration in the Krasnoyarsk Territory, 660049 Krasnoyarsk, Russia
| | | | - Elena B Ezhlova
- Federal Service for Supervision of Consumer Rights Protection and Human Welfare, 127994 Moscow, Russia
| | - Natalia N Zaitseva
- Nizhny Novgorod I. N. Blokhina Research Institute of Epidemiology and Microbiology, 603950 Nizhny Novgorod, Russia
| | - Olga A Istorik
- Rospotrebnadzor Administration in the Leningrad Region, 192029 St. Petersburg, Russia
| | - Irina V Kovalchuk
- Rospotrebnadzor Administration in the Stavropol Territory, 355008 Stavropol, Russia
| | - Dmitriy N Kozlovskikh
- Rospotrebnadzor Administration in the Sverdlovsk Region, 620078 Yekaterinburg, Russia
| | - Svetlana Y Kombarova
- G. N. Gabrichevsky Moscow Research Institute for Epidemiology and Microbiology, 125212 Moscow, Russia
| | - Olga P Kurganova
- Rospotrebnadzor Administration in the Amur Region, 675002 Blagoveshchensk, Russia
| | | | - Lena A Lukicheva
- Rospotrebnadzor Administration in the Murmansk Region, 183038 Murmansk, Russia
| | | | - Albina A Melnikova
- Federal Service for Supervision of Consumer Rights Protection and Human Welfare, 127994 Moscow, Russia
| | - Olga M Mikailova
- Rospotrebnadzor Administration in the Moscow Region, 141014 Mytishchi, Moscow Region, Russia
| | - Alexei K Noskov
- Rostov-on-Don Research Anti-Plague Institute, 344000 Rostov-on-Don, Russia
| | - Ludmila N Noskova
- Rospotrebnadzor Administration for the Astrakhan Region, 414057 Astrakhan, Russia
| | - Elena E Oglezneva
- Rospotrebnadzor Administration in the Belgorod Region, 308023 Belgorod, Russia
| | | | - Marina A Patyashina
- Rospotrebnadzor Administration in the Republic of Tatarstan, 420111 Kazan, Russia
| | | | - Lada V Samoilova
- Rospotrebnadzor Administration in the Novosibirsk Region, 630132 Novosibirsk, Russia
| | - Tatyana F Stepanova
- Tyumen Research Institute of Regional Infectious Pathology, 625026 Tyumen, Russia
| | - Olga E Trotsenko
- Khabarovsk Research Institute of Epidemiology and Microbiology, 680000 Khabarovsk, Russia
| | - Areg A Totolian
- Saint Petersburg Pasteur Institute, 197101 St. Petersburg, Russia
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SARS-CoV-2 Seroprevalence Structure of the Russian Population during the COVID-19 Pandemic. Viruses 2021; 13:v13081648. [PMID: 34452512 PMCID: PMC8402751 DOI: 10.3390/v13081648] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/11/2021] [Accepted: 08/11/2021] [Indexed: 12/18/2022] Open
Abstract
The SARS-CoV-2 pandemic, which came to Russia in March 2020, is accompanied by morbidity level changes and can be tracked using serological monitoring of a representative population sample from Federal Districts (FDs) and individual regions. In a longitudinal cohort study conducted in 26 model regions of Russia, distributed across all FDs, we investigated the distribution and cumulative proportions of individuals with antibodies (Abs) to the SARS-CoV-2 nucleocapsid antigen (Ag), in the period from June to December 2020, using a three-phase monitoring process. In addition, during the formation of the cohort of volunteers, the number of seropositive convalescents, persons who had contact with patients or COVID-19 convalescents, and the prevalence of asymptomatic forms of infection among seropositive volunteers were determined. According to a uniform methodology, 3 mL of blood was taken from the examined individuals, and plasma was separated, from which the presence of Abs to nucleocapsid Ag was determined on a Thermo Scientific Multiascan FC device using the “ELISA anti-SARS-CoV-2 IgG” reagent set (prod. Scientific Center for Applied Microbiology and Biotechnology), in accordance with the developer’s instructions. Volunteers (74,158) were surveyed and divided into seven age groups (1–17, 18–29, 30–39, 40–49, 59–59, 60–69, and 70+ years old), among whom 14,275 were identified as having antibodies to SARS-CoV-2. The average percent seropositive in Russia was 17.8% (IQR: 8.8–23.2). The largest proportion was found among children under 17 years old (21.6% (IQR: 13.1–31.7). In the remaining groups, seroprevalence ranged from 15.6% (IQR: 8–21.1) to 18.0% (IQR: 13.4–22.6). During monitoring, three (immune) response groups were found: (A) groups with a continuous increase in the proportion of seropositive; (B) those with a slow rate of increase in seroprevalence; and (C) those with a two-phase curve, wherein the initial increase was replaced by a decrease in the percentage of seropositive individuals. A significant correlation was revealed between the number of COVID-19 convalescents and contact persons, and between the number of contacts and healthy seropositive volunteers. Among the seropositive volunteers, more than 93.6% (IQR: 87.1–94.9) were asymptomatic. The results show that the COVID-19 pandemic is accompanied by an increase in seroprevalence, which may be important for the formation of herd immunity.
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Laurenzi A, Caretto A, Molinari C, Bazzigaluppi E, Brigatti C, Marzinotto I, Mercalli A, Melzi R, Nano R, Tresoldi C, Landoni G, Ciceri F, Lampasona V, Scavini M, Piemonti L. Pre-Existing Diabetes and COVID-Associated Hyperglycaemia in Patients with COVID-19 Pneumonia. BIOLOGY 2021; 10:biology10080754. [PMID: 34439986 PMCID: PMC8389579 DOI: 10.3390/biology10080754] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 07/27/2021] [Accepted: 07/30/2021] [Indexed: 01/08/2023]
Abstract
Simple Summary COVID-associated hyperglycaemia is emerging as a complication of Sars-CoV-2 infection, and this clinical entity still needs to be adequately characterized in comparison to pre-existing diabetes. Few studies have comparatively characterized these two conditions in relation to the presence of comorbidities, pre-hospitalization treatments, symptoms at admission, and laboratory variables associated with COVID-19 severity. Our study generated several interesting findings. Patients with COVID-associated hyperglycaemia had significantly less comorbidities, increased levels of inflammatory markers, and indicators of multi-organ injury than those with pre-existing diabetes, while islet autoimmunity prevalence and anti-SARS-CoV-2 antibody responses were similar. COVID-associated hyperglycaemia was associated with a poorer clinical outcome and a longer viral clearance time compared to pre-existing diabetes. This strongly supports the need to screen all COVID-19 patients for hyperglycaemia at the time of admission despite a mute personal or family history of diabetes and to treat them in order to reach and maintain good glycemic control during hospitalization for COVID-19 pneumonia. Abstract Aim. The aim of the current study was to compare clinical characteristics, laboratory findings, and major outcomes of patients hospitalized for COVID-19 pneumonia with COVID-associated hyperglycaemia or pre-existing diabetes. Methods. A cohort of 176 adult patients with a diagnosis of pre-existing diabetes (n = 112) or COVID-associated hyperglycaemia (n = 55) was studied. Results. Patients with COVID-associated hyperglycaemia had lower BMI, significantly less comorbidities, and higher levels of inflammatory markers and indicators of multi-organ injury than those with pre-existing diabetes. No differences between pre-existing diabetes and COVID-associated hyperglycaemia were evident for symptoms at admission, the humoral response against SARS-CoV-2, or autoantibodies to glutamic acid decarboxylase or interferon alpha-4. COVID-associated hyperglycaemia was independently associated with the risk of adverse clinical outcome, which was defined as ICU admission or death (HR 2.11, 95% CI 1.34–3.31; p = 0.001), even after adjustment for age, sex, and other selected variables associated with COVID-19 severity. Furthermore, at the same time, we documented a negative association (HR 0.661, 95% CI 0.43–1.02; p = 0.063) between COVID-associated hyperglycaemia to swab negativization. Conclusions. Recognizing hyperglycaemia as a specific clinical entity associated with COVID-19 pneumonia is relevant for early and appropriate patient management and close monitoring for the progression of disease severity.
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Affiliation(s)
- Andrea Laurenzi
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Amelia Caretto
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Chiara Molinari
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Elena Bazzigaluppi
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Cristina Brigatti
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Ilaria Marzinotto
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Alessia Mercalli
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Raffaella Melzi
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Rita Nano
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Cristina Tresoldi
- Molecular Hematology Unit, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy;
| | - Giovanni Landoni
- Department of Anesthesia and Intensive Care, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy;
- School of Medicine, Università Vita-Salute San Raffaele, Via Olgettina 58, 20132 Milan, Italy;
| | - Fabio Ciceri
- School of Medicine, Università Vita-Salute San Raffaele, Via Olgettina 58, 20132 Milan, Italy;
- Hematology and Bone Marrow Transplantation Unit, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy
| | - Vito Lampasona
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Marina Scavini
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
| | - Lorenzo Piemonti
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy; (A.L.); (A.C.); (C.M.); (E.B.); (C.B.); (I.M.); (A.M.); (R.M.); (R.N.); (V.L.); (M.S.)
- School of Medicine, Università Vita-Salute San Raffaele, Via Olgettina 58, 20132 Milan, Italy;
- Correspondence: ; Tel.: +39-02-2643-2706; Fax: +39-02-2643-2871
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Abstract
The link between COVID-19 infection and diabetes has been explored in several studies since the start of the pandemic, with associations between comorbid diabetes and poorer prognosis in patients infected with the virus and reports of diabetic ketoacidosis occurring with COVID-19 infection. As such, significant interest has been generated surrounding mechanisms by which the virus may exert effects on the pancreatic β cells. In this review, we consider possible routes by which SARS-CoV-2 may impact β cells. Specifically, we outline data that either support or argue against the idea of direct infection and injury of β cells by SARS-CoV-2. We also discuss β cell damage due to a "bystander" effect in which infection with the virus leads to damage to surrounding tissues that are essential for β cell survival and function, such as the pancreatic microvasculature and exocrine tissue. Studies elucidating the provocation of a cytokine storm following COVID-19 infection and potential impacts of systemic inflammation and increases in insulin resistance on β cells are also reviewed. Finally, we summarize the existing clinical data surrounding diabetes incidence since the start of the COVID-19 pandemic.
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Affiliation(s)
- Sarah Ibrahim
- Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, USA
| | - Gabriela S.F. Monaco
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, USA
| | - Emily K. Sims
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, USA
- Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, USA
- Pediatric Endocrinology and Diabetology, Indiana University School of Medicine, Indianapolis, USA
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COVID-19 Pandemic: Influence of Schools, Age Groups, and Virus Variants in Italy. Viruses 2021; 13:v13071269. [PMID: 34209828 PMCID: PMC8428146 DOI: 10.3390/v13071269] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 12/15/2022] Open
Abstract
The estimated smooth curve of the percentage of subjects positive to SARS-CoV-2 started decreasing in Italy at the beginning of January 2021, due to the government containment measures undertaken from Christmas until 7 January. Approximately two weeks after releasing the measures, the curve stopped to decrease and remained approximately constant for four weeks to increase again in the middle of February. This epidemic phase had a public health care impact since, from the beginning of the fourth week of February, the curve of the intensive care unit’s occupancy started to grow. This wave of infection was characterized by the presence of new virus variants, with a higher than 80% dominance of the so-called “English” variant, since 15 April. School activities in Italy started at different times from 7 January until 8 February, depending on every region’s decision. Our present data on the incidence of SARS-CoV-2 in different age groups in Italy are in agreement with literature reports showing that subjects older than 10 years are involved in virus transmission. More importantly, we provide evidence to support the hypothesis that also individuals of age 0–9 years can significantly contribute to the spread of SARS-CoV-2.
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43
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Lakha F, King A, Swinkels K, Lee ACK. Are schools drivers of COVID-19 infections-an analysis of outbreaks in Colorado, USA in 2020. J Public Health (Oxf) 2021; 44:e26-e35. [PMID: 34179987 DOI: 10.1093/pubmed/fdab213] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 05/19/2021] [Accepted: 06/04/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The impact of school closures/reopening on transmission of SARS-CoV-2 in the wider community remains contested. METHODS Outbreak data from Colorado, USA (2020), alongside data on implemented public health measures were analyzed. RESULTS There were three waves (n = 3169 outbreaks; 61 650 individuals). The first was led by healthcare settings, the second leisure/entertainment and the third workplaces followed by other settings where the trajectory was equally distributed amongst essential workplaces, non-essential workplaces, schools and non-essential healthcare.Non-acute healthcare, essential and non-essential workplace experienced more outbreaks compared to education, entertainment, large-group-living and social gatherings.Schools experienced 11% of identified outbreaks, yet involved just 4% of total cases. Conversely, adult-education outbreaks (2%) had disproportionately more cases (9%). CONCLUSION Our findings suggest schools were not the key driver of the latest wave in infections. School re-opening coinciding with returning to work may have accounted for the parallel rise in outbreaks in those settings suggesting contact-points outside school being more likely to seed in-school outbreaks than contact points within school as the wave of outbreaks in all other settings occurred either prior to or simultaneously with the schools wave.School re-opening is a priority but requires mitigation measures to do so safely including staggering opening of different settings whilst maintaining low levels of community transmission.
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Affiliation(s)
- F Lakha
- Communicable Diseases Policy and Research Group, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - A King
- Independent Researcher, London, UK
| | | | - A C K Lee
- School of Health and Related Research, University of Sheffield, Sheffield, S1 4DA, UK
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44
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Whyte MB, Vas PRJ, Umpleby AM. Could Exogenous Insulin Ameliorate the Metabolic Dysfunction Induced by Glucocorticoids and COVID-19? Front Endocrinol (Lausanne) 2021; 12:649405. [PMID: 34220705 PMCID: PMC8249851 DOI: 10.3389/fendo.2021.649405] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 06/02/2021] [Indexed: 01/08/2023] Open
Abstract
The finding that high-dose dexamethasone improves survival in those requiring critical care due to COVID-19 will mean much greater usage of glucocorticoids in the subsequent waves of coronavirus infection. Furthermore, the consistent finding of adverse outcomes from COVID-19 in individuals with obesity, hypertension and diabetes has focussed attention on the metabolic dysfunction that may arise with critical illness. The SARS coronavirus itself may promote relative insulin deficiency, ketogenesis and hyperglycaemia in susceptible individuals. In conjunction with prolonged critical care, these components will promote a catabolic state. Insulin infusion is the mainstay of therapy for treatment of hyperglycaemia in acute illness but what is the effect of insulin on the admixture of glucocorticoids and COVID-19? This article reviews the evidence for the effect of insulin on clinical outcomes and intermediary metabolism in critical illness.
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Affiliation(s)
- Martin Brunel Whyte
- Faculty of Health Sciences, University of Surrey, Guildford, United Kingdom
- King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | | | - Anne M. Umpleby
- Faculty of Health Sciences, University of Surrey, Guildford, United Kingdom
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45
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van der Toorn W, Oh DY, Bourquain D, Michel J, Krause E, Nitsche A, von Kleist M. An intra-host SARS-CoV-2 dynamics model to assess testing and quarantine strategies for incoming travelers, contact management, and de-isolation. PATTERNS (NEW YORK, N.Y.) 2021; 2:100262. [PMID: 33899034 PMCID: PMC8057735 DOI: 10.1016/j.patter.2021.100262] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 01/20/2021] [Accepted: 04/14/2021] [Indexed: 12/15/2022]
Abstract
Non-pharmaceutical interventions (NPIs) remain decisive tools to contain SARS-CoV-2. Strategies that combine NPIs with testing may improve efficacy and shorten quarantine durations. We developed a stochastic within-host model of SARS-CoV-2 that captures temporal changes in test sensitivities, incubation periods, and infectious periods. We used the model to simulate relative transmission risk for (1) isolation of symptomatic individuals, (2) contact person management, and (3) quarantine of incoming travelers. We estimated that testing travelers at entry reduces transmission risks to 21.3% ([20.7, 23.9], by PCR) and 27.9% ([27.1, 31.1], by rapid diagnostic test [RDT]), compared with unrestricted entry. We calculated that 4 (PCR) or 5 (RDT) days of pre-test quarantine are non-inferior to 10 days of quarantine for incoming travelers and that 8 (PCR) or 10 (RDT) days of pre-test quarantine are non-inferior to 14 days of post-exposure quarantine. De-isolation of infected individuals 13 days after symptom onset may reduce the transmission risk to <0.2% (<0.01, 6.0).
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Affiliation(s)
- Wiep van der Toorn
- Systems Medicine of Infectious Disease (P5), Robert Koch Institute, Berlin, Germany
- Bioinformatics (MF1), Methodology and Research Infrastructure, Robert Koch Institute, Berlin, Germany
| | - Djin-Ye Oh
- FG17 Influenza and Other Respiratory Viruses, Department of Infectious Diseases, Robert Koch Institute, Berlin, Germany
| | - Daniel Bourquain
- ZBS1 Highly Pathogenic Viruses, Center for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany
| | - Janine Michel
- ZBS1 Highly Pathogenic Viruses, Center for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany
| | - Eva Krause
- ZBS1 Highly Pathogenic Viruses, Center for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany
| | - Andreas Nitsche
- ZBS1 Highly Pathogenic Viruses, Center for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany
| | - Max von Kleist
- Systems Medicine of Infectious Disease (P5), Robert Koch Institute, Berlin, Germany
- Bioinformatics (MF1), Methodology and Research Infrastructure, Robert Koch Institute, Berlin, Germany
- German COVID Omics Initiative (deCOI), Bonn, Germany
| | - the Working Group on SARS-CoV-2 Diagnostics at RKI
- Systems Medicine of Infectious Disease (P5), Robert Koch Institute, Berlin, Germany
- Bioinformatics (MF1), Methodology and Research Infrastructure, Robert Koch Institute, Berlin, Germany
- FG17 Influenza and Other Respiratory Viruses, Department of Infectious Diseases, Robert Koch Institute, Berlin, Germany
- ZBS1 Highly Pathogenic Viruses, Center for Biological Threats and Special Pathogens, Robert Koch Institute, Berlin, Germany
- German COVID Omics Initiative (deCOI), Bonn, Germany
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46
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Staerk C, Wistuba T, Mayr A. Estimating effective infection fatality rates during the course of the COVID-19 pandemic in Germany. BMC Public Health 2021; 21:1073. [PMID: 34090392 PMCID: PMC8178670 DOI: 10.1186/s12889-021-11127-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 05/20/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The infection fatality rate (IFR) of the Coronavirus Disease 2019 (COVID-19) is one of the most discussed figures in the context of this pandemic. In contrast to the case fatality rate (CFR), the IFR depends on the total number of infected individuals - not just on the number of confirmed cases. In order to estimate the IFR, several seroprevalence studies have been or are currently conducted. METHODS Using German COVID-19 surveillance data and age-group specific IFR estimates from multiple international studies, this work investigates time-dependent variations in effective IFR over the course of the pandemic. Three different methods for estimating (effective) IFRs are presented: (a) population-averaged IFRs based on the assumption that the infection risk is independent of age and time, (b) effective IFRs based on the assumption that the age distribution of confirmed cases approximately reflects the age distribution of infected individuals, and (c) effective IFRs accounting for age- and time-dependent dark figures of infections. RESULTS Effective IFRs in Germany are estimated to vary over time, as the age distributions of confirmed cases and estimated infections are changing during the course of the pandemic. In particular during the first and second waves of infections in spring and autumn/winter 2020, there has been a pronounced shift in the age distribution of confirmed cases towards older age groups, resulting in larger effective IFR estimates. The temporary increase in effective IFR during the first wave is estimated to be smaller but still remains when adjusting for age- and time-dependent dark figures. A comparison of effective IFRs with observed CFRs indicates that a substantial fraction of the time-dependent variability in observed mortality can be explained by changes in the age distribution of infections. Furthermore, a vanishing gap between effective IFRs and observed CFRs is apparent after the first infection wave, while an increasing gap can be observed during the second wave. CONCLUSIONS The development of estimated effective IFR and observed CFR reflects the changing age distribution of infections over the course of the COVID-19 pandemic in Germany. Further research is warranted to obtain timely age-stratified IFR estimates, particularly in light of new variants of the virus.
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Affiliation(s)
- Christian Staerk
- Working Group Statistical Methods in Epidemiology, Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany.
| | - Tobias Wistuba
- Working Group Statistical Methods in Epidemiology, Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Andreas Mayr
- Working Group Statistical Methods in Epidemiology, Department of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany
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47
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Gandini S, Rainisio M, Iannuzzo ML, Bellerba F, Cecconi F, Scorrano L. A cross-sectional and prospective cohort study of the role of schools in the SARS-CoV-2 second wave in Italy. THE LANCET REGIONAL HEALTH. EUROPE 2021; 5:100092. [PMID: 34104904 PMCID: PMC7995620 DOI: 10.1016/j.lanepe.2021.100092] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND During COVID-19 pandemic, school closure has been mandated in analogy to its effect against influenza, but it is unclear whether schools are early COVID-19 amplifiers. METHODS We performed a cross-sectional and prospective cohort study in Italy during the second COVID-19 wave (from September 30, 2020 until at least February 28, 2021). We used databases from the Italian Ministry of Education, the Veneto region systems of SARS-CoV-2 cases notification and of schools' secondary cases tracing to compare SARS-CoV-2 incidence in students/school staff and general population and incidence across age groups. Number of tests, secondary infections by type of index case and ratio cases/ tests per school were estimated using an adjusted multivariable generalized linear regression model. Regional reproduction numbers Rt were estimated from Italian Civil Protection daily incidence data with a method of posterior distribution using a Markov Chain Monte Carlo algorithm. FINDINGS SARS-CoV-2 incidence among students was lower than in the general population. Secondary infections at school were <1%, and clusters of ≥2 secondary cases occurred in 5-7% of the analysed schools. Incidence among teachers was comparable to the population of similar age (P = 0.23). Secondary infections among teachers were rare, occurring more frequently when the index case was a teacher than a student (37% vs. 10%, P = 0.007). Before and around the date of school opening in Veneto, SARS-CoV-2 incidence grew maximally in 20-29- and 45-49-years old individuals, not among students. The lag between school opening dates in Italian regions and the increase in the regional COVID-19 Rt was not uniform. Finally, school closures in two regions where they were implemented before other measures did not affect Rt decrease. INTERPRETATION This analysis does not support a role for school opening as a driver of the second COVID-19 wave in Italy, a large European country with high SARS-CoV-2 incidence. FUNDING Fondazione MITE.
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Affiliation(s)
- Sara Gandini
- Department of Experimental Oncology, European Institute of Oncology, IRCCS, Via Adamello 16, 20139 Milano, Italy
| | | | | | - Federica Bellerba
- Department of Experimental Oncology, European Institute of Oncology, IRCCS, Via Adamello 16, 20139 Milano, Italy
| | - Francesco Cecconi
- Department of Biology, University of Rome ‘Tor Vergata’, 00133 Rome, Italy
| | - Luca Scorrano
- Department of Biology, University of Padua, Via U. Bassi 58B, 35131 Padova, Italy
- Veneto Institute of Molecular Medicine, Via Orus 2, 35129 Padova, Italy
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Busa F, Bardanzellu F, Pintus MC, Fanos V, Marcialis MA. COVID-19 and School: To Open or Not to Open, That Is the Question. The First Review on Current Knowledge. Pediatr Rep 2021; 13:257-278. [PMID: 34205837 PMCID: PMC8293384 DOI: 10.3390/pediatric13020035] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/17/2021] [Accepted: 05/19/2021] [Indexed: 12/23/2022] Open
Abstract
The COVID-19 pandemic has led to an unprecedented closure of schools in terms of duration. The option of school closure, SARS-CoV-2 initially being poorly known, was influenced by the epidemiological aspects of the influenza virus. However, school closure is still under debate and seems unsupported by sure evidence of efficacy in the COVID-19 era. The aim of our narrative review is to discuss the available literature on SARS-CoV-2 spread among children and adolescents, in the school setting, trying to explain why children appear less susceptible to severe disease and less involved in viral spreading. We also tried to define the efficacy of school closure, through an overview of the effects of the choices made by the various countries, trying to identify which preventive measures could be effective for a safe reopening. Finally, we focused on the psychological aspects of such a prolonged closure for children and adolescents. SARS-CoV-2, children, COVID-19, influenza, and school were used as key words in our literature research, updated to 29 March 2021. To our knowledge, this is the first review summarizing the whole current knowledge on SARS-CoV-2 spreading among children and adolescents in the school setting, providing a worldwide overview in such a pandemic context.
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Affiliation(s)
| | - Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, SS 554 km 4,500, 09042 Monserrato, Italy; (F.B.); (M.C.P.); (V.F.); (M.A.M.)
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49
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Llupià A, Borràs-Santos A, Guinovart C, Utzet M, Moriña D, Puig J. SARS-CoV-2 transmission in students of public schools of Catalonia (Spain) after a month of reopening. PLoS One 2021; 16:e0251593. [PMID: 33979410 PMCID: PMC8115831 DOI: 10.1371/journal.pone.0251593] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 04/29/2021] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION SARS-CoV-2 transmission within schools and its contribution to community transmission are still a matter of debate. METHODS A retrospective cohort study in all public schools in Catalonia was conducted using publicly available data assessing the association between the number of reported SARS-CoV-2 cases among students and staff in weeks 1-2 (Sept 14-27th, 2020) of the academic year with school SARS-CoV-2 incidence among students in weeks 4-5. A multilevel Poisson regression model adjusted for the community incidence in the corresponding basic health area (BHA) and the type of school (primary or secondary), with random effects at the sanitary region and BHA levels, was performed. RESULTS A total of 2184 public schools opened on September 14th with 778,715 students. Multivariate analysis showed a significant association between the total number of SARS-CoV-2 cases in a centre in weeks 1-2 and the SARS-CoV-2 school incidence among students in weeks 4-5 (Risk Ratio (RR) 1.074, 95% CI 1.044-1.105, p-value <0.001). The adjusted BHA incidence in the first two weeks was associated with school incidence in weeks 4-5 (RR 1.002, 95% CI 1.002-1.003, p-value <0.001). Secondary schools showed an increased incidence in weeks 4 and 5 (RR primary vs secondary 1.709 95% CI 1.599-1.897, p-value <0.001). CONCLUSIONS Safety measures adopted by schools were not enough to stop related-to-school transmission in students and could be improved. The safest way to keep schools open is to reduce community transmission down to a minimum.
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Affiliation(s)
- Anna Llupià
- Department of Preventive Medicine and Epidemiology, Hospital Clínic, Barcelona, Spain
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain
- School of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Alícia Borràs-Santos
- Gimbernat School of Nursing, Universitat Autònoma de Barcelona (UAB), Sant Cugat del Vallès, Barcelona, Spain
| | - Caterina Guinovart
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain
| | - Mireia Utzet
- Center for Research in Occupational Health (CISAL), Barcelona, Spain
- Universitat Pompeu Fabra, CIBER of Epidemiology and Public Health (CIBERESP), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - David Moriña
- Department of Econometrics, Statistics and Applied Econometrics, Riskcenter-IREA, Universitat de Barcelona, Barcelona, Spain
| | - Joaquim Puig
- Department of Mathematics, Universitat Politècnica de Catalunya, Barcelona, Spain
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50
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Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has emerged as an unprecedented global crisis challenging health systems. This paper aims to assess and characterise SARS-CoV-2 outbreaks in the state of Baden-Wuerttemberg to identify groups at greatest risk, to establish early measures to curb transmission. We analysed all mandatory notified (i.e. laboratory-confirmed) coronavirus disease (COVID-19) outbreaks with more than two cases in Baden-Wuerttemberg from calendar weeks 18-49 (from 27 April to 6 December 2020). We used the following classification for settings: asylum and refugee accommodation, care homes, care facilities, day care child centres, hobby-related, hospitality, hospitals, households, other, residence halls, schools, supported housing, training schools, transportation, treatment facilities and workplace (occupational). We used R program version 3.6.3 for analysis. In our analysis, 3219 outbreaks with 22 238 individuals were included. About 48% were in household and hobby-related settings. Care homes accounted for 9.5% of outbreaks and 21.6% of cases. The median age across all settings was 43 (interquartile range (IQR) 24-63). The median age of cases in care homes was 81 (IQR 56-88). Of all reported cases in care homes, 72.1% were women. Over 30% (466/1511) of hospitalisations were among cases in care homes compared to 17.7% (268/1511) in households. Overall, 70% (500/715) of all deceased persons in outbreaks in the study period were in care homes compared to 4.2% in household settings (30/715). We observed an exponential increase in the number of notified outbreaks starting around the 41st week with N = 291 outbreaks reported in week 49. The median number of cases in outbreaks in care homes and care facilities after the 40th week was 14 (IQR 5-29) and 11 (IQR 5-20), respectively, compared to 3 (IQR 3-5) in households. We observed an increase in hospitalisations, and mortality associated with COVID-19 outbreaks in care homes after the 40th week. We found the care home demographic to be at greatest risk after the 40th week, based on the exponential increase in outbreaks, the number of cases, hospitalisations and mortality trends. Our analysis highlights the necessity of targeted, setting-specific approaches to control transmission in this vulnerable population. Regular screening of staff members and visitors' using rapid antigen point-of-care-tests could be a game-changer in curbing transmission in this setting.
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