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Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis.
Proverbio, Daniele; Kemp, Françoise; Magni, Stefano; Ogorzaly, Leslie; Cauchie, Henry-Michel; Gonçalves, Jorge; Skupin, Alexander; Aalto, Atte.
Affiliation
  • Proverbio D; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg.
  • Kemp F; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg.
  • Magni S; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg.
  • Ogorzaly L; Luxembourg Institute of Science and Technology, Environmental Research and Innovation Department, Belvaux 4422, Luxembourg.
  • Cauchie HM; Luxembourg Institute of Science and Technology, Environmental Research and Innovation Department, Belvaux 4422, Luxembourg.
  • Gonçalves J; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg; University of Cambridge, Department of Plant Sciences, Downing St, Cambridge CB2 3EA, UK.
  • Skupin A; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg; University of Luxembourg, Department of Physics and Materials Science, 162a av. de la Faïencerie, Luxembourg 1511, Luxembourg; University of California San Diego, 9500 Gilman Dr, La Jolla,
  • Aalto A; University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg. Electronic address: atte.aalto@uni.lu.
Sci Total Environ ; 827: 154235, 2022 Jun 25.
Article in En | MEDLINE | ID: mdl-35245552
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Total Environ Year: 2022 Document type: Article Affiliation country: Luxemburgo
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Total Environ Year: 2022 Document type: Article Affiliation country: Luxemburgo