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10.1016/j.scitotenv.2021.147183

http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2021.147183
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suck abstract from ncbi


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pmid33901953      Sci+Total+Environ 2021 ; 784 (ä): 147183
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  • The presence of SARS-CoV-2 RNA in different freshwater environments in urban settings determined by RT-qPCR: Implications for water safety #MMPMID33901953
  • Mahlknecht J; Padilla Reyes DA; Ramos E; Reyes LM; Alvarez MM
  • Sci Total Environ 2021[Aug]; 784 (ä): 147183 PMID33901953show ga
  • This study is the first focused on the presence of SARS-CoV-2 in different freshwater environments in an urban setting. Groundwater and surface water reservoirs for drinking water as well as water from receiving rivers of the Monterrey Metropolitan Area were sampled repeatedly during a SARS-CoV-2 peak phase between October 2020 and January 2021, and viral RNA was measured by quantitative reverse transcription polymerase chain reaction. Forty-four percent of the groundwater samples had detectable viral loads between 2.6 and 38.3 copies/ml. A significant correlation between viral load and sucralose concentration in groundwater reaffirmed the hypothesis of leaching and infiltrating effluent from surface and/or failing sewage pipes and emphasized the importance of water disinfection. Twelve percent of the surface water dam samples tested positive for viral RNA, with values varying between 3.3 and 3.8 copies/ml. Finally, 13% of the river samples were positive for viral RNA, with concentrations ranging from 2.5 to 7.0 copies/ml. Untreated wastewater samples taken in the same period showed viral loads of up to 3535 copies/ml, demonstrating a dilution effect and/or wastewater facilities efficiency of three orders of magnitude. Variations in the viral loads in the groundwater and surface water over time and at the submetropolitan level generally reflected the reported trends in infection cases for Monterrey. The viral loads in the freshwater environments of Monterrey represent a low risk for recreational activities according to a preliminary risk assessment model. However, this result should not be taken lightly due to uncertainty regarding data and model constraints and the possibility of situations where the infection risk may increase considerably.
  • |*COVID-19[MESH]
  • |*SARS-CoV-2[MESH]
  • |Humans[MESH]
  • |RNA, Viral[MESH]
  • |Real-Time Polymerase Chain Reaction[MESH]
  • |Wastewater[MESH]


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