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  1. Article ; Online: COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology.

    Gonzalez, Raul / Curtis, Kyle / Bivins, Aaron / Bibby, Kyle / Weir, Mark H / Yetka, Kathleen / Thompson, Hannah / Keeling, David / Mitchell, Jamie / Gonzalez, Dana

    Water research

    2020  Volume 186, Page(s) 116296

    Abstract: ... in weekly samples from nine WWTPs in southeastern Virginia. In the first several weeks of sampling, SARS-CoV ... Wastewater-based epidemiology (WBE) has been used to analyze markers in wastewater ... Coronavirus disease-19 (COVID-19) when combined with clinical datasets. In this study, three RT-ddPCR assays ...

    Abstract 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
    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2 ; Virginia/epidemiology ; Wastewater-Based Epidemiological Monitoring
    Keywords covid19
    Language English
    Publishing date 2020-08-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 202613-2
    ISSN 1879-2448 ; 0043-1354
    ISSN (online) 1879-2448
    ISSN 0043-1354
    DOI 10.1016/j.watres.2020.116296
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology

    Gonzalez, Raul / Curtis, Kyle / Bivins, Aaron / Bibby, Kyle / Weir, Mark H. / Yetka, Kathleen / Thompson, Hannah / Keeling, David / Mitchell, Jamie / Gonzalez, Dana

    Water Research

    2020  Volume 186, Page(s) 116296

    Keywords Ecological Modelling ; Waste Management and Disposal ; Pollution ; Water Science and Technology ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 202613-2
    ISSN 1879-2448 ; 0043-1354
    ISSN (online) 1879-2448
    ISSN 0043-1354
    DOI 10.1016/j.watres.2020.116296
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology

    Gonzalez, Raul / Curtis, Kyle / Bivins, Aaron / Bibby, Kyle / Weir, Mark H / Yetka, Kathleen / Thompson, Hannah / Keeling, David / Mitchell, Jamie / Gonzalez, Dana

    Water Res

    Abstract: ... in weekly samples from nine WWTPs in southeastern Virginia. In the first several weeks of sampling, SARS-CoV ... Wastewater-based epidemiology (WBE) has been used to analyze markers in wastewater ... Coronavirus disease-19 (COVID-19) when combined with clinical datasets. In this study, three RT-ddPCR assays ...

    Abstract 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 101 to 104 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.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #712089
    Database COVID19

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