Monitoring SARS-CoV-2 RNA in wastewater from a shared septic system and sub-sewershed sites to expand COVID-19 disease surveillance

Author:

Pasha A. B. Tanvir1,Kotlarz Nadine2,Holcomb David3,Reckling Stacie4,Kays Judith1,Bailey Erika5,Guidry Virginia4,Christensen Ariel4,Berkowitz Steven4,Engel Lawrence S.3,de los Reyes Francis1,Harris Angela1ORCID

Affiliation:

1. a Department of Civil, Construction and Environmental Engineering, North Carolina State University (NC State), 915 Partners Way, Raleigh, NC 27606, USA

2. b Center for Human Health and the Environment, NC State, Raleigh, NC, USA

3. c Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA

4. d Division of Public Health, North Carolina Department of Health and Human Services, Raleigh, NC, USA

5. e Raleigh Water, Raleigh, NC, USA

Abstract

ABSTRACT Wastewater-based epidemiology has expanded as a tool for collecting COVID-19 surveillance data, but there is limited information on the feasibility of this form of surveillance within decentralized wastewater systems (e.g., septic systems). This study assessed SARS-CoV-2 RNA concentrations in wastewater samples from a septic system servicing a mobile home park (66 households) and from two pumping stations serving a similarly sized (71 households) and a larger (1,000 households) neighborhood within a nearby sewershed over 35 weeks in 2020. Also, raw wastewater from a hospital in the same sewershed was sampled. The mobile home park samples had the highest detection frequency (39/39 days) and mean concentration of SARS-CoV-2 RNA (2.7 × 107 gene copies/person/day for the N1) among the four sampling sites. N1 gene and N2 gene copies were highly correlated across mobile home park samples (Pearson's r = 0.93, p < 0.0001). In the larger neighborhood, new COVID-19 cases were reported every week during the sampling period; however, we detected SARS-CoV-2 RNA in 12% of the corresponding wastewater samples. The results of this study suggest that sampling from decentralized wastewater infrastructure can be used for continuous monitoring of SARS-CoV-2 infections.

Funder

North Carolina Policy Collaboratory

Publisher

IWA Publishing

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