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Can variants, reinfection, symptoms and test types affect COVID-19 diagnostic performance? A large-scale retrospective study of AG-RDTs during circulation of Delta and Omicron variants, Czechia, December 2021 to February 2022.
Kliegr, Tomás; Jarkovský, Jirí; Jirincová, Helena; Kuchar, Jaroslav; Karel, Tomás; Chudán, David; Vojír, Stanislav; Zavrel, Michal; Sanca, Ondrej; Tachezy, Ruth.
Afiliação
  • Kliegr T; These authors contributed equally to this article and share the first authorship.
  • Jarkovský J; Department of Information and Knowledge Engineering, Faculty of Informatics and Statistics, Prague University of Economics and Business, Prague, Czechia.
  • Jirincová H; These authors contributed equally to this article and share the first authorship.
  • Kuchar J; Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czechia.
  • Karel T; Institute of Health Information and Statistics of the Czech Republic, Prague, Czechia.
  • Chudán D; National Reference Laboratory for Influenza and Respiratory Viruses, National Institute of Public Health, Prague, Czechia.
  • Vojír S; Department of Software Engineering, Faculty of Information Technology, Czech Technical University, Prague, Czechia.
  • Zavrel M; Department of Statistics and Probability, Faculty of Informatics and Statistics, Prague University of Economics and Business, Prague, Czechia.
  • Sanca O; Department of Information and Knowledge Engineering, Faculty of Informatics and Statistics, Prague University of Economics and Business, Prague, Czechia.
  • Tachezy R; Department of Information and Knowledge Engineering, Faculty of Informatics and Statistics, Prague University of Economics and Business, Prague, Czechia.
Euro Surveill ; 28(38)2023 09.
Article em En | MEDLINE | ID: mdl-37733239
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article