Comparative analyses of SARS-CoV-2 RNA concentrations in Detroit wastewater quantified with CDC N1, N2, and SC2 assays reveal optimal target for predicting COVID-19 cases

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 945, P. 174140 - 174140

Published: June 19, 2024

Language: Английский

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Analysis of Uneven Settlement of Long-Span Bridge Foundations Based on SBAS-InSAR

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 248 - 248

Published: Jan. 11, 2025

Bridge foundation settlement monitoring is crucial for infrastructure safety management, as uneven can lead to stress redistribution, structural damage, and potentially catastrophic collapse. While traditional contact sensors provide reliable measurements, their deployment labor-intensive costly, especially long-span bridges. Current remote sensing methods have not been thoroughly evaluated capability detect analyze complex patterns in challenging environments with multiple influencing factors. Here, we applied Small Baseline Subsets Synthetic Aperture Radar Interferometry (SBAS-InSAR) technology monitor of a bridge. Our analysis revealed distinct deformation patterns: uplift the north bank approach bridge left-side main (maximum rate: 36.97 mm/year), concurrent subsidence right-side south 35.59 mm/year). We then investigated relationship between these various environmental factors, including geological conditions, Sediment Transport Index (STI), Topographic Wetness (TWI), precipitation, temperature. The observed were attributed combined effects stratigraphic heterogeneity, dynamic hydrological seasonal climate variations. These findings demonstrate that SBAS-InSAR effectively capture processes, offering cost-effective alternative methods. This advancement could enable more widespread frequent assessment stability, ultimately improving management.

Language: Английский

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Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 28, 2025

The Tri-County Detroit Area (TCDA) is the 12th most populous metropolitan area in United States with over three million people. Multiple communicable diseases are endemic TCDA. In 2017, to explore innovative methods that may provide early warnings of outbreaks affecting populations TCDA, an exploratory partnership was funded by a U.S. National Science Foundation Early-concept Grant for Exploratory Research (EAGER) began. Since project team including College Engineering at Michigan State University (MSU), City Detroit, Great Lakes Water Authority (GLWA), industry, and local government health departments, has been testing municipal wastewater from TCDA survey predict surges area. This ongoing effort started years before wastewater-based epidemiology became widespread method public practice, due COVID-19 pandemic, now supported Centers Disease Control Prevention (CDC). work led significant breakthroughs field surveillance/wastewater epidemiology. results our surveillance efforts used assist departments their understanding response issues facilitating messaging awareness, targeted clinical testing, increased vaccination efforts. Our data available methodological advancements published have other communities nationwide beyond. paper describes partnership, lessons learned, achievements, provides look into future. successful implementations advocate importance frequent communications interactions within idea generations each stakeholder decision-making, maintenance scientific rigor, ethical more.

Language: Английский

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Wastewater-Based Surveillance of Respiratory Syncytial Virus Reveals a Temporal Disconnect in Disease Trajectory across an Active International Land Border

Environment & Health, Journal Year: 2025, Volume and Issue: 3(4), P. 425 - 435

Published: Jan. 29, 2025

Conventional metrics for tracking infectious diseases, including case and outbreak data syndromic surveillance, can be resource-intensive, misleading, comparatively slow with prolonged collection, analysis authentication. This study examined the 2022–2023 Respiratory Syncytial Virus (RSV) season in a contiguous metropolitan area connected by an active international land border, affording opportunity comparison of respiratory virus spanning two independent public health jurisdictions. Time-lagged cross correlation qualitative examination wastewater signals showed that peak Detroit (MI, USA) RSV predated Windsor (ON, Canada) approximately 5 weeks. A strong positive relationship was observed between N-gene concentrations hospitalization rates Windsor-Essex (Kendall's τ = 0.539, p ≤ 0.001, Spearman's ρ 0.713, 0.001) as well 0.739, 0.888, 0.001). demonstrated surveillance reveal regional differences infection dynamics communities provide measure prevalence RSV, underreported disease. These findings support use cost-effective tool monitoring to enhance existing systems better inform disease mitigation strategies.

Language: Английский

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Tracking Chlamydia and Syphilis in the Detroit Metro Area by Molecular Analysis of Environmental Samples

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

This paper describes one of the first studies applying wastewater surveillance to monitor Chlamydia and Syphilis back-estimate infections in community, based on bacterial shedding data. Molecular biology laboratory methods were optimized, a workflow was designed implement tracking Detroit metro area (DMA), most populous metropolitan areas U.S. Untreated composite samples collected weekly from three main interceptors that service DMA, which collect discharge it Great Lakes Water Authority Resource Recovery Facility. Additionally, untreated also street manholes neighborhood sewersheds Wayne, Macomb, Oakland counties. Centrifugation, DNA extraction, ddPCR optimized performed, targeting

Language: Английский

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Tracking Norovirus in Tri-County Detroit, MI, Using Wastewater Testing, Syndromic Data, and Online Publicly Available Sources

ACS ES&T Water, Journal Year: 2024, Volume and Issue: 4(11), P. 4990 - 5001

Published: Oct. 25, 2024

Human norovirus (HuNoV), the leading cause of acute gastroenteritis in U.S., is voluntarily reported to U.S. Center for Disease Control and Prevention (CDC) when infected individuals do not require hospitalization. Wastewater surveillance can be valuable monitoring HuNoV trends complementing under-reported clinical data. In this study, wastewater samples were collected between January December 2023 from three interceptors Tri-County Detroit, Michigan. genogroup I (GI) II (GII) quantified, highest concentrations observed during winter season. GI GII their sum normalized by water quality parameters fecal indicators. Pearson correlation dynamic time warping (DTW) analysis implemented compare viral concentrations, non-normalized scenarios, with online data sets. Using DTW method, indicators norovirus-positive PCR detection rates Midwest (NPM), followed Google Trends "norovirus", demonstrated most similar patterns. This study highlights importance using multiple sets, including surveillance, identify disease trends, especially diseases.

Language: Английский

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