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Detection of SARS-CoV-2 infection clusters: The useful combination of spatiotemporal clustering and genomic analyses.
Choi, Yangji; Ladoy, Anaïs; De Ridder, David; Jacot, Damien; Vuilleumier, Séverine; Bertelli, Claire; Guessous, Idris; Pillonel, Trestan; Joost, Stéphane; Greub, Gilbert.
Afiliação
  • Choi Y; Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
  • Ladoy A; Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • De Ridder D; Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland.
  • Jacot D; Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
  • Vuilleumier S; Group of Geographic Information Research and Analysis in Population Health (GIRAPH), Geneva, Switzerland.
  • Bertelli C; Faculty of Medicine, University of Geneva (UNIGE), Geneva, Switzerland.
  • Guessous I; Division and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
  • Pillonel T; Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
  • Joost S; La Source School of Nursing, University of Applied Sciences and Arts Western Switzerland (HES-SO), Lausanne, Switzerland.
  • Greub G; Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Front Public Health ; 10: 1016169, 2022.
Article em En | MEDLINE | ID: mdl-36568782
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Front Public Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Front Public Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça