Your browser doesn't support javascript.
loading
Analyzing community wastewater in sub-sewersheds for the small-scale detection of SARS-CoV-2 variants in a German metropolitan area.
Schmiege, Dennis; Kraiselburd, Ivana; Haselhoff, Timo; Thomas, Alexander; Doerr, Adrian; Gosch, Jule; Schoth, Jens; Teichgräber, Burkhard; Moebus, Susanne; Meyer, Folker.
Afiliação
  • Schmiege D; Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130 Essen, Germany. Electronic address: dennis.schmiege@uk-essen.de.
  • Kraiselburd I; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany.
  • Haselhoff T; Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130 Essen, Germany.
  • Thomas A; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany.
  • Doerr A; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany.
  • Gosch J; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany.
  • Schoth J; Emschergenossenschaft/Lippeverband, Kronprinzenstraße 24, 45128 Essen, Germany.
  • Teichgräber B; Emschergenossenschaft/Lippeverband, Kronprinzenstraße 24, 45128 Essen, Germany.
  • Moebus S; Institute for Urban Public Health (InUPH), University Hospital Essen, University of Duisburg-Essen, 45130 Essen, Germany.
  • Meyer F; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, 45131 Essen, Germany.
Sci Total Environ ; 898: 165458, 2023 Nov 10.
Article em En | MEDLINE | ID: mdl-37454854

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Humans Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article