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    SARS-CoV-2 in Detroit Wastewater

    Source: Journal of Environmental Engineering:;2020:;Volume ( 146 ):;issue: 011
    Author:
    Brijen Miyani
    ,
    Xavier Fonoll
    ,
    John Norton
    ,
    Anna Mehrotra
    ,
    Irene Xagoraraki
    DOI: 10.1061/(ASCE)EE.1943-7870.0001830
    Publisher: ASCE
    Abstract: Untreated wastewater samples were collected from the Great Lakes Water Authority (GLWA) Water Resource Recovery Facility (WRRF) located in southeast Michigan between April 8 and May 26, 2020. The WRRF is the largest single-site wastewater treatment facility in the US, and it receives wastewater from its service area via three main interceptors: Detroit River Interceptor (DRI), North Interceptor-East Arm (NI-EA), and Oakwood-Northwest-Wayne County Interceptor (O-NWI). A total of 54 untreated wastewater samples were collected (18 per interceptor) at the point of intake into the WRRF. Viruses were isolated from wastewater using electropositive NanoCeram column filters (Argonide, Sanford, Florida). For each sample, an average of 45 L of wastewater was passed through NanoCeram electropositive cartridge filters at a rate of no more than 11.3  L/m. Viruses were eluted and concentrated and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) concentrations were quantified with reverse transcription quantitative polymerase chain reaction (RT-qPCR). SARS-CoV-2 was detected in 100% of samples, and measured concentrations were in the range of 104–105 genomic copies/L. Quantification of concentrations of human viruses, such as SARS-CoV-2, in wastewater is a critical first step in the development of wastewater-based epidemiology predictive methods. However, accurate prediction involves the incorporation of multiple other measurements, data, and processes, such as the estimation of fate and detention times of viruses in the sewer collection network, estimation of contributing population, incorporation of disease characteristics based on anthropometric data, and others. A viral disease prediction model (Viral PD) that incorporates all these other inputs is currently being developed for COVID-19 in Detroit, Michigan.
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      SARS-CoV-2 in Detroit Wastewater

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    contributor authorBrijen Miyani
    contributor authorXavier Fonoll
    contributor authorJohn Norton
    contributor authorAnna Mehrotra
    contributor authorIrene Xagoraraki
    date accessioned2022-01-30T21:36:28Z
    date available2022-01-30T21:36:28Z
    date issued11/1/2020 12:00:00 AM
    identifier other%28ASCE%29EE.1943-7870.0001830.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268517
    description abstractUntreated wastewater samples were collected from the Great Lakes Water Authority (GLWA) Water Resource Recovery Facility (WRRF) located in southeast Michigan between April 8 and May 26, 2020. The WRRF is the largest single-site wastewater treatment facility in the US, and it receives wastewater from its service area via three main interceptors: Detroit River Interceptor (DRI), North Interceptor-East Arm (NI-EA), and Oakwood-Northwest-Wayne County Interceptor (O-NWI). A total of 54 untreated wastewater samples were collected (18 per interceptor) at the point of intake into the WRRF. Viruses were isolated from wastewater using electropositive NanoCeram column filters (Argonide, Sanford, Florida). For each sample, an average of 45 L of wastewater was passed through NanoCeram electropositive cartridge filters at a rate of no more than 11.3  L/m. Viruses were eluted and concentrated and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) concentrations were quantified with reverse transcription quantitative polymerase chain reaction (RT-qPCR). SARS-CoV-2 was detected in 100% of samples, and measured concentrations were in the range of 104–105 genomic copies/L. Quantification of concentrations of human viruses, such as SARS-CoV-2, in wastewater is a critical first step in the development of wastewater-based epidemiology predictive methods. However, accurate prediction involves the incorporation of multiple other measurements, data, and processes, such as the estimation of fate and detention times of viruses in the sewer collection network, estimation of contributing population, incorporation of disease characteristics based on anthropometric data, and others. A viral disease prediction model (Viral PD) that incorporates all these other inputs is currently being developed for COVID-19 in Detroit, Michigan.
    publisherASCE
    titleSARS-CoV-2 in Detroit Wastewater
    typeJournal Paper
    journal volume146
    journal issue11
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)EE.1943-7870.0001830
    page6
    treeJournal of Environmental Engineering:;2020:;Volume ( 146 ):;issue: 011
    contenttypeFulltext
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