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10.1038/s41598-021-84914-2

http://scihub22266oqcxt.onion/10.1038/s41598-021-84914-2
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33686189!7940401!33686189
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suck abstract from ncbi


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pmid33686189      Sci+Rep 2021 ; 11 (1): 5372
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  • Long-term monitoring of SARS-CoV-2 RNA in wastewater of the Frankfurt metropolitan area in Southern Germany #MMPMID33686189
  • Agrawal S; Orschler L; Lackner S
  • Sci Rep 2021[Mar]; 11 (1): 5372 PMID33686189show ga
  • Wastewater-based epidemiology (WBE) is a great approach that enables us to comprehensively monitor the community to determine the scale and dynamics of infections in a city, particularly in metropolitan cities with a high population density. Therefore, we monitored the time course of the SARS-CoV-2 RNA concentration in raw sewage in the Frankfurt metropolitan area, the European financial center. To determine the SARS-CoV-2 RNA concentration in sewage, we continuously collected 24 h composite samples twice a week from two wastewater treatment plant (WWTP) influents (Niederrad and Sindlingen) serving the Frankfurt metropolitan area and performed RT-qPCR analysis targeting three genes (N gene, S gene, and ORF1ab gene). In August, a resurgence in the SARS-CoV-2 RNA load was observed, reaching 3 x 10(13) copies/day, which represented similar levels compared to April with approx. 2 x 10(14) copies/day. This corresponds to a continuous increase again in COVID-19 cases in Frankfurt since August, with an average of 28.6 incidences, compared to 28.7 incidences in April. Different temporal dynamics were observed between different sampling points, indicating local dynamics in COVID-19 cases within the Frankfurt metropolitan area. The SARS-CoV-2 RNA load to the WWTP Niederrad ranged from approx. 4 x 10(11) to 1 x 10(15) copies/day, the load to the WWTP Sindlingen from approx. 1 x 10(11) to 2 x 10(14) copies/day, which resulted in a preceding increase in these loading in July ahead of the weekly averaged incidences. The study shows that WBE has the potential as an early warning system for SARS-CoV-2 infections and a monitoring system to identify global hotspots of COVID-19.
  • |*Environmental Monitoring[MESH]
  • |COVID-19/epidemiology/virology[MESH]
  • |Cities[MESH]
  • |Epidemiological Monitoring[MESH]
  • |Genes, Viral[MESH]
  • |Germany[MESH]
  • |RNA, Viral/*analysis[MESH]
  • |SARS-CoV-2/*genetics[MESH]
  • |Sewage/virology[MESH]
  • |Time Factors[MESH]
  • |Viral Load[MESH]
  • |Wastewater/*virology[MESH]


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