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10.1016/j.watres.2020.116296 http://scihub22266oqcxt.onion/10.1016/j.watres.2020.116296 32841929!7424388!32841929     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Water+Res 2020 ; 186 (ä): 116296 Nephropedia Template TP {{tp|p=32841929|t=2020. COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology |pdf=|usr=}}{{32841929}} gab.com Text COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology JO: Water Res http://www.kidney.de/pget.php?&tw=1&pmid=32841929 #FOAvip Wastewater-based epidemiology (WBE) has been used to analyze markers in wastewater treatment plant (WWTP) influent to characterize emerging chemicals, drug use patterns, or disease spread within communities. This approach can be particularly helpful in understanding outbreaks of disease like the novel Coronavirus disease-19 (COVID-19) when combined with clinical datasets. In this study, three RT-ddPCR assays (N1, N2, N3) were used to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in weekly samples from nine WWTPs in southeastern Virginia. In the first several weeks of sampling, SARS-CoV-2 detections were sporadic. Frequency of detections and overall concentrations of RNA within samples increased from mid March into late July. During the twenty-one week study, SARS-CoV-2 concentrations ranged from 10(1) to 10(4) copies 100 mL(-1) in samples where viral RNA was detected. Fluctuations in population normalized loading rates in several of the WWTP service areas agreed with known outbreaks during the study. Here we propose several ways that data can be presented spatially and temporally to be of greatest use to public health officials. As the COVID-19 pandemic wanes, it is likely that communities will see increased incidence of small, localized outbreaks. In these instances, WBE could be used as a pre-screening tool to better target clinical testing needs in communities with limited resources. Twit Text FOAVip COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology ????Water Res http://www.kidney.de/pget.php?&tw=1&pmid=32841929 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32841929 #FOAvip English Wikipedia <ref>{{Cite pmid|32841929}}</ref> COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology #MMPMID32841929 Gonzalez R; Curtis K; Bivins A; Bibby K; Weir MH; Yetka K; Thompson H; Keeling D; Mitchell J; Gonzalez D Water Res 2020[Nov]; 186 (ä): 116296 PMID32841929show ga Wastewater-based epidemiology (WBE) has been used to analyze markers in wastewater treatment plant (WWTP) influent to characterize emerging chemicals, drug use patterns, or disease spread within communities. This approach can be particularly helpful in understanding outbreaks of disease like the novel Coronavirus disease-19 (COVID-19) when combined with clinical datasets. In this study, three RT-ddPCR assays (N1, N2, N3) were used to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in weekly samples from nine WWTPs in southeastern Virginia. In the first several weeks of sampling, SARS-CoV-2 detections were sporadic. Frequency of detections and overall concentrations of RNA within samples increased from mid March into late July. During the twenty-one week study, SARS-CoV-2 concentrations ranged from 10(1) to 10(4) copies 100 mL(-1) in samples where viral RNA was detected. Fluctuations in population normalized loading rates in several of the WWTP service areas agreed with known outbreaks during the study. Here we propose several ways that data can be presented spatially and temporally to be of greatest use to public health officials. As the COVID-19 pandemic wanes, it is likely that communities will see increased incidence of small, localized outbreaks. In these instances, WBE could be used as a pre-screening tool to better target clinical testing needs in communities with limited resources. |*Coronavirus[MESH] |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Humans[MESH] |SARS-CoV-2[MESH] |Virginia/epidemiology[MESH]COVID-19 surveillance in Southeastern Virginia using wastewater-based (epmc).pdf DeepDyve Pubget Overpricing