Sars-Cov-2 Shedding Sources in Wastewater and Implications for Wastewater-Based Epidemiology

36 Pages Posted: 16 Feb 2022

See all articles by Xuan Li

Xuan Li

University of Wollongong

Jagadeeshkumar Kulandaivelu

affiliation not provided to SSRN

Ying Guo

University of Wollongong

Shuxin Zhang

University of Wollongong - School of Civil, Mining, Environmental and Architectural Engineering

Jiahua Shi

University of Wollongong

Jake O’Brien

University of Melbourne - Department of Clinical Pathology

Sudipti Arora

Dr. B. Lal Institute of Biotechnology

Manish Kumar

Government of the United States of America - Institute of Technology

Samendra P. Sherchan

affiliation not provided to SSRN

Ryo Honda

Kanazawa University

Greg Jackson

Queensland Health

Stephen Luby

Stanford University - Division of Infectious Diseases and Geographic Medicine

Guangming Jiang

University of Wollongong - School of Civil, Mining, Environmental and Architectural Engineering

Abstract

Wastewater-based epidemiology (WBE) approach for COVID-19 surveillance is largely based on the assumption of SARS-CoV-2 RNA shedding into sewers by patients. Recent studies found that SARS-CoV-2 RNA concentration in wastewater (CRNA) could not be accounted by the fecal shedding alone. This study aimed to determine potential major shedding sources based on literature data of CRNA, along with the COVID-19 prevalence in the catchment area through a systematic literature review. Theoretical CRNA under a certain prevalence was estimated using Monte Carlo simulations, with eight scenarios accommodating feces alone, and both feces and sputum as shedding sources. With feces alone, none of the WBE data was in the confidence interval of theoretical CRNA estimated with the mean feces shedding magnitude and probability, and 63% of CRNA in WBE reports were higher than the maximum theoretical concentration. With both sputum and feces, 91% of the WBE data were below the simulated maximum CRNA in wastewater. The inclusion of sputum as a major shedding source led to more comparable theoretical CRNA to the literature WBE data. Sputum discharging behavior of patients also resulted in great fluctuations of CRNA under a certain prevalence. Thus, sputum is a potential critical shedding source for COVID-19 WBE surveillance.

Keywords: COVID-19, SARS-CoV-2, wastewater-based epidemiology, Monte Carlo Simulation, sputum

Suggested Citation

Li, Xuan and Kulandaivelu, Jagadeeshkumar and Guo, Ying and Zhang, Shuxin and Shi, Jiahua and O’Brien, Jake and Arora, Sudipti and Kumar, Manish and Sherchan, Samendra P. and Honda, Ryo and Jackson, Greg and Luby, Stephen and Jiang, Guangming, Sars-Cov-2 Shedding Sources in Wastewater and Implications for Wastewater-Based Epidemiology. Available at SSRN: https://ssrn.com/abstract=4010827 or http://dx.doi.org/10.2139/ssrn.4010827

Xuan Li (Contact Author)

University of Wollongong ( email )

Northfields Avenue
Wollongong, 2522
Australia

Jagadeeshkumar Kulandaivelu

affiliation not provided to SSRN ( email )

No Address Available

Ying Guo

University of Wollongong ( email )

Northfields Avenue
Wollongong, 2522
Australia

Shuxin Zhang

University of Wollongong - School of Civil, Mining, Environmental and Architectural Engineering ( email )

Jiahua Shi

University of Wollongong ( email )

Northfields Avenue
Wollongong, 2522
Australia

Jake O’Brien

University of Melbourne - Department of Clinical Pathology ( email )

Sudipti Arora

Dr. B. Lal Institute of Biotechnology ( email )

Manish Kumar

Government of the United States of America - Institute of Technology ( email )

Wright Patterson Air Force Bas, OH 45433-7765
United States

Samendra P. Sherchan

affiliation not provided to SSRN ( email )

No Address Available

Ryo Honda

Kanazawa University ( email )

Kanazawa
Japan

Greg Jackson

Queensland Health ( email )

Stephen Luby

Stanford University - Division of Infectious Diseases and Geographic Medicine ( email )

United States

Guangming Jiang

University of Wollongong - School of Civil, Mining, Environmental and Architectural Engineering ( email )

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