SARS-CoV-2 Wastewater Data from Stockholm, Sweden
https://doi.org/10.17044/SCILIFELAB.14315483
The dataset is part of a research study lead by associate professor Zeynep Cetecioglu Gurol and colleagues (KTH Royal Institute of Technology), is a collaboration between the SciLifeLab COVID-19 National Research Program and Chemical Engineering and Protein Science departments at KTH, in close collaboration with Stockholm Vatten och Avfall and the Käppala Association.
The sampling of wastewater, started in mid-April 2020, from Bromma, Henriksdal, and Käppala wastewater treatment plants (WWTP). These treatment plants receive wastewater from a population of approximately 360,000; 860,000 and 500,000, respectively.
After concentration, filtering, and preparation, the samples are analyzed using RT-qPCR technique for SARS CoV-2 RNA. Primers of the nucleocapsid (N) gene were used to detect the SARS-COV-2 gene (previously used and verified by Medema and colleagues (2020) (https://doi.org/10.1016/j.scitotenv.2020.142939Opens in a new tab) . In some cases, the raw wastewater has been frozen at –20 degrees, and concentrated wastewater or purified RNA have been stored at -80 C before the next analysis step was carried out. The concentration method used by prof. Zeynep Cetecioglu Gurol and her colleagues is based on their published study (Jafferali and colleagues, 2021 (https://doi.org/10.1016/j.scitotenv.2020.142939Opens in a new tab) ). The gene copy nr / week is presented standardized for Bovine coronavirus (BCoV) and Pepper Mild Mottle Virus (PPMoV)
For more information see https://www.covid19dataportal.se/data_types/environment/wastewaterOpens in a new tab The dataset started week 16 2020 and updates weekly.
The dataset is available as part of the Environmental Virus Profiling data section "The amount of SARS-CoV-2 virus in wastewater across Sweden" https://www.covid19dataportal.se/data_types/environment/wastewater/#stockholmOpens in a new tab
on the Swedish COVID-19 Data Portal (https://covid19dataportal.seOpens in a new tab ).
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Opens in a new tabhttps://doi.org/10.17044/SCILIFELAB.14315483
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