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Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study.
Meredith, Luke W; Hamilton, William L; Warne, Ben; Houldcroft, Charlotte J; Hosmillo, Myra; Jahun, Aminu S; Curran, Martin D; Parmar, Surendra; Caller, Laura G; Caddy, Sarah L; Khokhar, Fahad A; Yakovleva, Anna; Hall, Grant; Feltwell, Theresa; Forrest, Sally; Sridhar, Sushmita; Weekes, Michael P; Baker, Stephen; Brown, Nicholas; Moore, Elinor; Popay, Ashley; Roddick, Iain; Reacher, Mark; Gouliouris, Theodore; Peacock, Sharon J; Dougan, Gordon; Török, M Estée; Goodfellow, Ian.
Affiliation
  • Meredith LW; Department of Pathology, University of Cambridge, Cambridge, UK.
  • Hamilton WL; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK.
  • Warne B; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK.
  • Houldcroft CJ; Department of Medicine, University of Cambridge, Cambridge, UK.
  • Hosmillo M; Department of Pathology, University of Cambridge, Cambridge, UK.
  • Jahun AS; Department of Pathology, University of Cambridge, Cambridge, UK.
  • Curran MD; Public Health England Clinical Microbiology and Public Health Laboratory, Cambridge, UK.
  • Parmar S; Public Health England Clinical Microbiology and Public Health Laboratory, Cambridge, UK.
  • Caller LG; Department of Pathology, University of Cambridge, Cambridge, UK; Francis Crick Institute, London, UK.
  • Caddy SL; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge Institute for Therapeutic Immunology and Infectious Disease, Cambridge, UK.
  • Khokhar FA; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge Institute for Therapeutic Immunology and Infectious Disease, Cambridge, UK.
  • Yakovleva A; Department of Pathology, University of Cambridge, Cambridge, UK.
  • Hall G; Department of Pathology, University of Cambridge, Cambridge, UK.
  • Feltwell T; Department of Medicine, University of Cambridge, Cambridge, UK.
  • Forrest S; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge Institute for Therapeutic Immunology and Infectious Disease, Cambridge, UK.
  • Sridhar S; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge Institute for Therapeutic Immunology and Infectious Disease, Cambridge, UK; Wellcome Sanger Institute, Hinxton, UK.
  • Weekes MP; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge Institute for Therapeutic Immunology and Infectious Disease, Cambridge, UK.
  • Baker S; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge Institute for Therapeutic Immunology and Infectious Disease, Cambridge, UK.
  • Brown N; Public Health England Clinical Microbiology and Public Health Laboratory, Cambridge, UK.
  • Moore E; Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK.
  • Popay A; Field Epidemiology, Field Service, National Infection Service, Public Health England, Cambridge, UK.
  • Roddick I; Field Epidemiology, Field Service, National Infection Service, Public Health England, Cambridge, UK.
  • Reacher M; Field Epidemiology, Field Service, National Infection Service, Public Health England, Cambridge, UK.
  • Gouliouris T; Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK; Public Health England Clinical Microbiology and Public Health Laboratory, Cambridge, UK.
  • Peacock SJ; Department of Medicine, University of Cambridge, Cambridge, UK; National Infection Service, Public Health England, London, UK.
  • Dougan G; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge Institute for Therapeutic Immunology and Infectious Disease, Cambridge, UK.
  • Török ME; Department of Medicine, University of Cambridge, Cambridge, UK; Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK. Electronic address: et317@cam.ac.uk.
  • Goodfellow I; Department of Pathology, University of Cambridge, Cambridge, UK. Electronic address: ig299@cam.ac.uk.
Lancet Infect Dis ; 20(11): 1263-1272, 2020 11.
Article in En | MEDLINE | ID: mdl-32679081
BACKGROUND: The burden and influence of health-care associated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is unknown. We aimed to examine the use of rapid SARS-CoV-2 sequencing combined with detailed epidemiological analysis to investigate health-care associated SARS-CoV-2 infections and inform infection control measures. METHODS: In this prospective surveillance study, we set up rapid SARS-CoV-2 nanopore sequencing from PCR-positive diagnostic samples collected from our hospital (Cambridge, UK) and a random selection from hospitals in the East of England, enabling sample-to-sequence in less than 24 h. We established a weekly review and reporting system with integration of genomic and epidemiological data to investigate suspected health-care associated COVID-19 cases. FINDINGS: Between March 13 and April 24, 2020, we collected clinical data and samples from 5613 patients with COVID-19 from across the East of England. We sequenced 1000 samples producing 747 high-quality genomes. We combined epidemiological and genomic analysis of the 299 patients from our hospital and identified 35 clusters of identical viruses involving 159 patients. 92 (58%) of 159 patients had strong epidemiological links and 32 (20%) patients had plausible epidemiological links. These results were fed back to clinical, infection control, and hospital management teams, leading to infection-control interventions and informing patient safety reporting. INTERPRETATION: We established real-time genomic surveillance of SARS-CoV-2 in a UK hospital and showed the benefit of combined genomic and epidemiological analysis for the investigation of health-care associated COVID-19. This approach enabled us to detect cryptic transmission events and identify opportunities to target infection-control interventions to further reduce health-care associated infections. Our findings have important implications for national public health policy as they enable rapid tracking and investigation of infections in hospital and community settings. FUNDING: COVID-19 Genomics UK funded by the Department of Health and Social Care, UK Research and Innovation, and the Wellcome Sanger Institute.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Pneumonia, Viral / Cross Infection / Infection Control / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Observational_studies / Prognostic_studies / Screening_studies Limits: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Country/Region as subject: Europa Language: En Journal: Lancet Infect Dis Journal subject: DOENCAS TRANSMISSIVEIS Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Main subject: Pneumonia, Viral / Cross Infection / Infection Control / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Observational_studies / Prognostic_studies / Screening_studies Limits: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Country/Region as subject: Europa Language: En Journal: Lancet Infect Dis Journal subject: DOENCAS TRANSMISSIVEIS Year: 2020 Type: Article