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SARS-CoV-2 adsorption on suspended solids along a sewerage network: mathematical model formulation, sensitivity analysis, and parametric study.
Kostoglou, Margaritis; Petala, Maria; Karapantsios, Thodoris; Dovas, Chrysostomos; Roilides, Emmanuel; Metallidis, Simeon; Papa, Anna; Stylianidis, Efstratios; Papadopoulos, Agis; Papaioannou, Nikolaos.
  • Kostoglou M; Laboratory of Chemical and Environmental Technology, Department of Chemistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
  • Petala M; Laboratory of Environmental Engineering & Planning, Department of Civil Engineering, Aristotle University of Thessaloniki, 54 124, Thessaloniki, Greece.
  • Karapantsios T; Laboratory of Chemical and Environmental Technology, Department of Chemistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece. karapant@chem.auth.gr.
  • Dovas C; Faculty of Veterinary Medicine, School of Health Sciences, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
  • Roilides E; Infectious Diseases Unit and 3rd Department of Pediatrics, Aristotle University School of Health Sciences, Hippokration Hospital, 54642, Thessaloniki, Greece.
  • Metallidis S; Department of Haematology, First Department of Internal Medicine, Faculty of Medicine, AHEPA General Hospital, Aristotle University of Thessaloniki, 54636, Thessaloniki, Greece.
  • Papa A; Department of Microbiology, Medical School, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
  • Stylianidis E; School of Spatial Planning and Development, Faculty of Engineering, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
  • Papadopoulos A; EYATH S.A., Thessaloniki Water Supply and Sewerage Company S.A., 54636, Thessaloniki, Greece.
  • Papaioannou N; Faculty of Veterinary Medicine, School of Health Sciences, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Environ Sci Pollut Res Int ; 29(8): 11304-11319, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1427397
ABSTRACT
Accounting for SARS-CoV-2 adsorption on solids suspended in wastewater is a necessary step towards the reliable estimation of virus shedding rate in a sewerage system, based on measurements performed at a terminal collection station, i.e., at the entrance of a wastewater treatment plant. This concept is extended herein to include several measurement stations across a city to enable the estimation of spatial distribution of virus shedding rate. This study presents a pioneer general model describing the most relevant physicochemical phenomena with a special effort to reduce the complicated algebra. This is performed both in the topology regime, introducing a discrete-continuous approach, and in the domain of independent variables, introducing a monodisperse moment method to reduce the dimensionality of the resulting population balance equations. The resulting simplified model consists of a large system of ordinary differential equations. A sensitivity analysis is performed with respect to some key parameters for a single pipe topology. Specific numerical techniques are employed for the integration of the model. Finally, a parametric case study for an indicative-yet realistic-sewerage piping system is performed to show how the model is applied to SARS-CoV-2 adsorption on wastewater solids in the presence of other competing species. This is the first model of this kind appearing in scientific literature and a first step towards setting up an inverse problem to assess the spatial distribution of virus shedding rate based on its concentration in wastewater.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-021-16528-0

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-021-16528-0