Environment International, Год журнала: 2024, Номер 194, С. 109128 - 109128
Опубликована: Ноя. 14, 2024
Estimating effective reproduction number (R
Язык: Английский
Scientific Data, Год журнала: 2024, Номер 11(1)
Опубликована: Окт. 17, 2024
We measured concentrations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants, influenza A B viruses, syncytial virus, human metapneumovirus, enterovirus D68, parainfluenza types 1, 2, 3, 4a, 4b in aggregate, norovirus genotype II, rotavirus, Candida auris, hepatitis adenovirus, mpox H5 pepper mild mottle virus nucleic acids wastewater solids prospectively at 191 treatment plants 40 states across the United States plus Washington DC. Measurements were made two to seven times per week from 1 January 2022 30 June 2024, depending on plant staff availability. using droplet digital (reverse-transcription-) polymerase chain reaction (ddRT-PCR) following best practices for making environmental molecular biology measurements. These data can be used better understand disease occurrence communities contributing wastewater.
Язык: Английский
Процитировано
6
Nano Letters, Год журнала: 2025, Номер unknown
Опубликована: Янв. 17, 2025
Although wastewater-based epidemiology has been used extensively for the surveillance of viral diseases, it not to a similar extent bacterial diseases. This is in part owing difficulties distinguishing pathogenic from nonpathogenic bacteria using PCR methods. Here, we show that surface-enhanced Raman spectroscopy (SERS) can be scalable, label-free method detection wastewater. We enhance signal wastewater plasmonic gold nanorods (AuNRs) electrostatically bind surface and confirm this binding cryoelectron microscopy. spike four clinically relevant species AuNRs into filtered wastewater, varying AuNR concentration maximize signal. then collect 540 spectra each at 109 cells/mL train machine learning model identify them with more than 87% accuracy. also demonstrate an environmentally realistic limit 104 cells/mL. These results are key step toward SERS platform WBE.
Язык: Английский
Процитировано
0
ACS ES&T Water, Год журнала: 2025, Номер 5(2), С. 985 - 992
Опубликована: Янв. 22, 2025
Wastewater measurements represent an entire contributing population and can be available within 24 h. Enhanced information about disease occurrence improve health through better timing of policies interventions. We aimed to infer seasonal patterns for common respiratory viruses alongside transmission dynamics SARS-CoV-2 across the USA using wastewater samples. used RNA concentrations influenza A B (IAV/IBV), syncytial virus (RSV), human metapneumovirus (HMPV), from 175 treatment plants (July 2023–June 2024). For IAV, IBV, RSV, HMPV, we determined epidemic onset, offset, peak, duration at national subnational scales. SARS-CoV-2, categorized based on recent levels trends. Epidemic onset occurred in November IAV RSV which aligned with prepandemic norms. Onset January IBV April HMPV were later than expected according historical data. Duration was longer shorter peak dates consistent norms all viruses. Peak coincided high, upward trending concentrations, suggesting potential co-occurrence these
Язык: Английский
Процитировано
0
Environment & Health, Год журнала: 2025, Номер 3(4), С. 425 - 435
Опубликована: Янв. 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.
Язык: Английский
Процитировано
0
mSphere, Год журнала: 2024, Номер 9(7)
Опубликована: Июнь 27, 2024
Respiratory syncytial virus (RSV) causes a large burden of respiratory illness globally. It has two subtypes, RSV A and B, but little is known regarding the predominance these subtypes during different seasons their impact on morbidity mortality. Using molecular methods, we quantified B RNA in wastewater solids across multiple metropolitan areas to gain insight into subtypes. We determined predominant subtype for each group using proportion total (RSV + B) sample (
Язык: Английский
Процитировано
3
medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Авг. 28, 2024
Abstract Wastewater-Based Epidemiology (WBE) has become a powerful tool for assessing disease occurrence in communities. This study investigates the coronavirus 2019 (COVID-19) epidemic United States during 2023-2024 season using wastewater data from 189 treatment plants 40 states and District of Columbia. Severe acute respiratory syndrome 2 (SARS-CoV-2) pepper-mild mottle virus normalized SARS-CoV-2 concentration were compared with COVID-19 hospitalization admission at both national state levels. We further investigate temporal features viral abundance, peak timing cross-correlation lag analyses indicating that concentrations precede admissions by to 12 days. Lastly, we demonstrate plant size, assessed number population served, significant effect on variability measured concentrations. highlights effectiveness WBE as non-invasive, timely resource-efficient monitoring strategy, especially context declining clinical reporting.
Язык: Английский
Процитировано
2
ACS ES&T Water, Год журнала: 2024, Номер 4(11), С. 4990 - 5001
Опубликована: Окт. 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.
Язык: Английский
Процитировано
2
PLoS ONE, Год журнала: 2024, Номер 19(11), С. e0313927 - e0313927
Опубликована: Ноя. 18, 2024
Wastewater-Based Epidemiology (WBE) has become a powerful tool for assessing disease occurrence in communities. This study investigates the coronavirus 2019 (COVID-19) epidemic United States during 2023–2024 using wastewater data from 189 treatment plants 40 states and District of Columbia. Severe acute respiratory syndrome 2 (SARS-CoV-2) pepper-mild mottle virus normalized SARS-CoV-2 RNA concentration were compared with COVID-19 hospitalization admission at both national state levels. We further investigate temporal features viral abundance, peak timing cross-correlation lag analyses indicating that concentrations precede admissions by to 12 days. Lastly, we demonstrate plant size significant effect on variability measured concentrations. highlights effectiveness WBE as non-invasive, timely resource-efficient monitoring strategy, especially context declining clinical reporting.
Язык: Английский
Процитировано
2
medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Март 18, 2024
Abstract Respiratory syncytial virus (RSV) causes a large burden of respiratory illness, globally. It has two subtypes, RSV A and B, but little is known regarding the predominance these subtypes during different seasons their impact on morbidity mortality. Using molecular methods, we quantified B RNA in wastewater solids across multiple metropolitan areas to gain insight into subtypes. We determined predominant subtype for each group using proportion total (RSV + B) sample (P A,WW ), conducted comparative analysis temporally, spatially against clinical specimens. median P 0.00 first season 0.58 second indicated temporal shift subtype. Spatially, while observed dominance same subtype, was higher some = 0.88). The predominated samples, samples showed levels positivity 79%, 0.58). These results suggest that wastewater, alongside data, holds promise enhanced surveillance. Importance study illustrates information can be gleaned from wastewater. As biological composite entire contributing population, monitoring complement surveillance RSV.
Язык: Английский
Процитировано
0
bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown
Опубликована: Июль 23, 2024
Abstract Wastewater-based epidemiology (WBE) is a powerful tool for monitoring community disease occurrence, but current methods bacterial detection suffer from limited scalability, the need priori knowledge of target organism, and high degree genetic similarity between different strains same species. Here, we show that surface-enhanced Raman spectroscopy (SERS) can be scalable, label-free method bacteria in wastewater. We preferentially enhance signal wastewater using positively-charged plasmonic gold nanorods (AuNRs) electrostatically bind to surface. Transmission cryoelectron microscopy (cryoEM) confirms AuNRs selectively this matrix. spike species Staphylococcus epidermidis, aureus, Serratia marcescens , Escerichia coli into filter-sterilized wastewater, varying AuNR concentration achieve maximum across all pathogens. then collect 540 spectra each species, train machine learning (ML) model identify For concentrations 10 9 cells/mL, an accuracy exceeding 85%. also demonstrate system effective at environmentally-realistic concentrations, with limit 4 cells/mL. These results are key first step toward label-free, high-throughput platform WBE.
Язык: Английский
Процитировано
0