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Population level SARS-CoV-2 fecal shedding rates determined via wastewater-based epidemiology.
Prasek, Sarah M; Pepper, Ian L; Innes, Gabriel K; Slinski, Stephanie; Ruedas, Martha; Sanchez, Ana; Brierley, Paul; Betancourt, Walter Q; Stark, Erika R; Foster, Aidan R; Betts-Childress, Nick D; Schmitz, Bradley W.
  • Prasek SM; Water & Energy Sustainable Technology (WEST) Center, University of Arizona, 2959 W. Calle Agua Nueva, Tucson, AZ 85745, USA.
  • Pepper IL; Water & Energy Sustainable Technology (WEST) Center, University of Arizona, 2959 W. Calle Agua Nueva, Tucson, AZ 85745, USA.
  • Innes GK; Yuma Center of Excellence for Desert Agriculture (YCEDA), University of Arizona, 6425 W. 8(th) St., Yuma, AZ 85364, USA.
  • Slinski S; Yuma Center of Excellence for Desert Agriculture (YCEDA), University of Arizona, 6425 W. 8(th) St., Yuma, AZ 85364, USA.
  • Ruedas M; Yuma Center of Excellence for Desert Agriculture (YCEDA), University of Arizona, 6425 W. 8(th) St., Yuma, AZ 85364, USA.
  • Sanchez A; Yuma Center of Excellence for Desert Agriculture (YCEDA), University of Arizona, 6425 W. 8(th) St., Yuma, AZ 85364, USA.
  • Brierley P; Yuma Center of Excellence for Desert Agriculture (YCEDA), University of Arizona, 6425 W. 8(th) St., Yuma, AZ 85364, USA.
  • Betancourt WQ; Water & Energy Sustainable Technology (WEST) Center, University of Arizona, 2959 W. Calle Agua Nueva, Tucson, AZ 85745, USA.
  • Stark ER; Water & Energy Sustainable Technology (WEST) Center, University of Arizona, 2959 W. Calle Agua Nueva, Tucson, AZ 85745, USA.
  • Foster AR; Water & Energy Sustainable Technology (WEST) Center, University of Arizona, 2959 W. Calle Agua Nueva, Tucson, AZ 85745, USA.
  • Betts-Childress ND; Water & Energy Sustainable Technology (WEST) Center, University of Arizona, 2959 W. Calle Agua Nueva, Tucson, AZ 85745, USA.
  • Schmitz BW; Yuma Center of Excellence for Desert Agriculture (YCEDA), University of Arizona, 6425 W. 8(th) St., Yuma, AZ 85364, USA. Electronic address: bschmitz@arizona.edu.
Sci Total Environ ; 838(Pt 4): 156535, 2022 Sep 10.
Article in English | MEDLINE | ID: covidwho-2076705
ABSTRACT
Wastewater-based epidemiology (WBE) has been utilized as an early warning tool to anticipate disease outbreaks, especially during the COVID-19 pandemic. However, COVID-19 disease models built from wastewater-collected data have been limited by the complexities involved in estimating SARS-CoV-2 fecal shedding rates. In this study, wastewater from six municipalities in Arizona and Florida with distinct demographics were monitored for SARS-CoV-2 RNA between September 2020 and December 2021. Virus concentrations with corresponding clinical case counts were utilized to estimate community-wide fecal shedding rates that encompassed all infected individuals. Analyses suggest that average SARS-CoV-2 RNA fecal shedding rates typically occurred within a consistent range (7.53-9.29 log10 gc/g-feces); and yet, were unique to each community and influenced by population demographics. Age, ethnicity, and socio-economic factors may have influenced shedding rates. Interestingly, populations with median age between 30 and 39 had the greatest fecal shedding rates. Additionally, rates remained relatively constant throughout the pandemic provided conditions related to vaccination and variants were unchanged. Rates significantly increased in some communities when the Delta variant became predominant. Findings in this study suggest that community-specific shedding rates may be appropriate in model development relating wastewater virus concentrations to clinical case counts.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Adult / Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2022.156535

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Adult / Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2022.156535