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is ?:annotates of
?:authorAffiliation
  • [\'Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK. david.eyre@bdi.ox.ac.uk.\', \'Oxford University Hospitals NHS Foundation Trust, Oxford, UK. david.eyre@bdi.ox.ac.uk.\', \'NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK. david.eyre@bdi.ox.ac.uk.\', \'NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK. david.eyre@bdi.ox.ac.uk.\', \'Microbiology Department, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK. david.eyre@bdi.ox.ac.uk.\', \'Oxford University Hospitals NHS Foundation Trust, Oxford, UK.\', \'Nuffield Department of Medicine, University of Oxford, Oxford, UK.\', \'NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.\', \'NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK.\', \'Kennedy Institute of Rheumatology Research, University of Oxford, Oxford, UK.\', \'Target Discovery Institute, University of Oxford, Oxford, UK.\', \'Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1186/s12879-021-05878-2
?:hasPublicationType
?:journal
  • BMC infectious diseases
is ?:pmid of
?:pmid
?:pmid
  • 33602152
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  • 1.576
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  • 80
?:title
  • Stringent thresholds in SARS-CoV-2 IgG assays lead to under-detection of mild infections.
?:type
?:year
  • 2021

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