Observed Differences in Wastewater Measurements of <i>Treponema pallidum</i> , Norovirus, and SARS-CoV-2 in Detroit Metropolitan Areas with Different Socioeconomic Vulnerabilities

Wastewater surveillance of viral and bacterial pathogens, covering communities with varying social vulnerabilities, is needed. Incorporating communities with high social vulnerability index (SVI) scores in wastewater surveillance programs is a critical direction suggested by the National Wastewater Surveillance System (NWSS) Phase II report and numerous studies. This paper describes one of the first investigations demonstrating differences between viral (SARS-CoV-2 and norovirus) and bacterial (Treponema pallidum) concentrations in municipal wastewater in geographic areas with varying SVI scores. We investigated two interceptor-served urban sewersheds in the Detroit Metropolitan Area (DMA), Michigan, covering communities with substantial differences in SVI scores, including Great Lakes Water Authority’s (GLWA) Detroit River Interceptor (DRI) and North Interceptor East Arm (NIEA). We identified contrasting differences in overall SVI scores and themed SVI scores between DRI-covered and NIEA-covered areas. Notably, pepper mild mottle virus (PMMoV)-normalized SARS-CoV-2 and T. pallidum exhibited higher concentrations in DRI-covered than NIEA-covered sewersheds. Conversely, PMMoV-normalized norovirus concentrations did not present distinct differences between the two sewersheds. The results confirm that socioeconomic differences affect communicable disease occurrence, and wastewater surveillance may be used to track and predict those differences for certain diseases.

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Publication Details

Journal
ACS ES&T Water
Published
2025-10-28
DOI
https://doi.org/10.1021/acsestwater.5c00714
Citations
1
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
1.40
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article

Observed Differences in Wastewater Measurements of Treponema pallidum , Norovirus, and SARS-CoV-2 in Detroit Metropolitan Areas with Different Socioeconomic Vulnerabilities

Irene Xagoraraki, Andrew Kaye, Heidy Peidro Guzman, Russell A. Faust et al.
1 citations
ACS ES&T Water
SARS-CoV-2 detection and testing
1.40
article

Observed Differences in Wastewater Measurements of Treponema pallidum , Norovirus, and SARS-CoV-2 in Detroit Metropolitan Areas with Different Socioeconomic Vulnerabilities

Irene Xagoraraki, Andrew Kaye, Heidy Peidro Guzman, Russell A. Faust, Claudia Weaver Richardson, Liang Zhao
article en
1 citations

Abstract

Wastewater surveillance of viral and bacterial pathogens, covering communities with varying social vulnerabilities, is needed. Incorporating communities with high social vulnerability index (SVI) scores in wastewater surveillance programs is a critical direction suggested by the National Wastewater Surveillance System (NWSS) Phase II report and numerous studies. This paper describes one of the first investigations demonstrating differences between viral (SARS-CoV-2 and norovirus) and bacterial (Treponema pallidum) concentrations in municipal wastewater in geographic areas with varying SVI scores. We investigated two interceptor-served urban sewersheds in the Detroit Metropolitan Area (DMA), Michigan, covering communities with substantial differences in SVI scores, including Great Lakes Water Authority’s (GLWA) Detroit River Interceptor (DRI) and North Interceptor East Arm (NIEA). We identified contrasting differences in overall SVI scores and themed SVI scores between DRI-covered and NIEA-covered areas. Notably, pepper mild mottle virus (PMMoV)-normalized SARS-CoV-2 and T. pallidum exhibited higher concentrations in DRI-covered than NIEA-covered sewersheds. Conversely, PMMoV-normalized norovirus concentrations did not present distinct differences between the two sewersheds. The results confirm that socioeconomic differences affect communicable disease occurrence, and wastewater surveillance may be used to track and predict those differences for certain diseases.

ACS ES&T WaterVol. 5(11)
Chicago Department of Public Health (US), University of Illinois Chicago (US), CDM Smith (United States) (US), Detroit R&D (United States) (US), Michigan State University (US)
Openalex Percentile: Top 15%
SARS-CoV-2 detection and testing
1.40
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