Integrative Modeling of the Spread of Serious Infectious Diseases and Corresponding Wastewater Dynamics DOI Creative Commons

Nina Schmid,

Julia Bicker, Andrea Hofmann

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

Abstract The COVID-19 pandemic has emphasized the critical need for accurate disease modeling to inform public health interventions. Traditional reliance on confirmed infection data is often hindered by reporting delays and under-reporting, while widespread antigen antibody testing can be costly impractical. Wastewater-based surveillance offers a promising alternative detecting viral concentrations from fecal shedding, potentially providing more estimate of true prevalence. However, challenges remain in optimizing sampling protocols, locations, normalization strategies, particularly accounting environmental factors like precipitation. We present an integrative model that simulates spread serious infectious diseases linking detailed dynamics with wastewater processes through shedding curves. Through comprehensive simulations, we examine how virus characteristics, precipitation events, measurement strategies affect relationship between measurements. Our findings reveal complex prevalence corresponding concentrations, key variability sources including upstream continuous rainfall, rapid decay. Notably, find flow rate unreliable when rainwater infiltrates sewer systems. Despite these challenges, our study demonstrates wastewater-based serve as leading indicator prevalence, predicting outbreak peaks before they occur. proposed thus used optimize surveillance, enhancing its utility monitoring. Graphical Highlights Integration models simulate spread. Identification affecting Illustration ability predict outbreaks case reporting. Demonstration unreliability infiltration. Optimization improved

Language: Английский

Examining the stability of viral RNA and DNA in wastewater: Effects of storage time, temperature, and freeze-thaw cycles DOI Creative Commons
Rachel C. Williams, William Bernard Perry, Kathryn Lambert-Slosarska

et al.

Water Research, Journal Year: 2024, Volume and Issue: 259, P. 121879 - 121879

Published: June 3, 2024

Wastewater-based epidemiology (WBE) has been demonstrably successful as a relatively unbiased tool for monitoring levels of SARS-CoV-2 virus circulating in communities during the COVID-19 pandemic. Accumulated biobanks wastewater samples allow retrospective exploration spatial and temporal trends public health indicators such chemicals, viruses, antimicrobial resistance genes, possible emergence novel human or zoonotic pathogens. We investigated resilience to time, temperature, freeze-thaw cycles, plus optimal storage conditions maintain stability genetic material (RNA/DNA) viral +ssRNA (Envelope - E, Nucleocapsid N Spike protein S genes SARS-CoV-2), dsRNA (Phi6 phage) circular dsDNA (crAssphage) wastewater. Samples consisted (i) processed extracted samples, (ii) distilled water (iii) raw, unprocessed samples. were stored at -80 °C, -20 4 20 °C 10 days, going through up cycles (once per day). Sample was measured using reverse transcription quantitative PCR, automated electrophoresis, short-read whole genome sequencing. Exploring different areas demonstrated that gene showed greater sensitivity than E genes. Investigating surrogate normalisation viruses Phi6 remains stable comparison laboratory setting crAssphage resilient temperature variation. Recovery raw significantly when which supported by sequencing data all both time negatively impacted metrics. Historical extracts re-quantified 12, 14 16 months after original quantification no major changes. This study highlights importance fast processing extraction following are robust range temperatures.

Language: Английский

Citations

11

Subsewershed Analyses of the Impacts of Inflow and Infiltration on Viral Pathogens and Antibiotic Resistance Markers Across a Rural Sewer System DOI
Amanda Darling, Benjamin C. Davis,

Thomas Byrne

et al.

Water Research, Journal Year: 2025, Volume and Issue: 276, P. 123230 - 123230

Published: Jan. 30, 2025

Language: Английский

Citations

1

Mathematical Assessment of Wastewater-Based Epidemiology to Predict SARS-CoV-2 Cases and Hospitalizations in Miami-Dade County DOI
Binod Pant,

Salman Safdar,

Calistus N. Ngonghala

et al.

Acta Biotheoretica, Journal Year: 2025, Volume and Issue: 73(1)

Published: Feb. 11, 2025

Language: Английский

Citations

1

Wastewater Surveillance for SARS-CoV-2 in Northern Italy: An Evaluation of Three Different Gene Targets DOI Creative Commons

Giulio Mannarà,

Marianna Martinelli, Chiara Giubbi

et al.

Microorganisms, Journal Year: 2025, Volume and Issue: 13(2), P. 236 - 236

Published: Jan. 22, 2025

Wastewater-based epidemiology has emerged as a complementary tool for the monitoring of COVID-19 pandemic waves and circulation viral variants. The selection, standardization, dynamics different SARS-CoV-2 RNA targets in wastewater requires further investigation. In present study, 106 samples were collected over 24-month period from treatment plant Sondrio, north Italy, analyzed presence through quantification ORF1b, N1, N3 gene via one-step real-time qPCR. general, three demonstrated performances studied time period, underlying usefulness multiple surveillance wastewater. During first 12 months, selected also correlated with reported clinical cases same geographical area; however, overall data analysis this did not appear to significantly anticipate epidemic waves. conclusion, study supports use real indicator human SARS-CoV-2. Moreover, been shown improve reliability time.

Language: Английский

Citations

0

Impacts of reclaimed water recharge on waterborne viruses decay: characteristics and influencing factors DOI
Jiaxu Wang, Liang Chen, Ying Zhang

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 74, P. 107844 - 107844

Published: May 1, 2025

Language: Английский

Citations

0

Integrative modeling of the spread of serious infectious diseases and corresponding wastewater dynamics DOI Creative Commons

Nina Schmid,

Julia Bicker, A.F. Hofmann

et al.

Epidemics, Journal Year: 2025, Volume and Issue: 51, P. 100836 - 100836

Published: May 31, 2025

The COVID-19 pandemic has emphasized the critical need for accurate disease modeling to inform public health interventions. Traditional reliance on confirmed infection data is often hindered by reporting delays and under-reporting, while antigen or antibody testing of a full cohort can be costly impractical. Wastewater-based surveillance offers promising alternative detecting viral concentrations from fecal shedding, potentially providing more estimate true prevalence. However, challenges remain in optimizing sampling protocols, locations, normalization strategies, particularly accounting environmental factors like precipitation. We present an integrative model that simulates spread serious infectious diseases linking detailed dynamics with wastewater processes through shedding curves. Through comprehensive simulations, we examine how virus characteristics, precipitation events, measurement strategies affect relationship between measurements. Our findings reveal complex prevalence corresponding concentrations, key variability sources including upstream continuous rainfall, rapid decay. Notably, find flow rate unreliable when rainwater infiltrates sewer systems. Despite these challenges, our study demonstrates wastewater-based serve as leading indicator prevalence, predicting outbreak peaks before they occur. proposed thus used optimize surveillance, enhancing its utility monitoring.

Language: Английский

Citations

0

Modeled and measured SARS-CoV-2 virus in septic tank systems for wastewater surveillance DOI Creative Commons
Dong Li, Hunter Quon, Jared Ervin

et al.

Journal of Water and Health, Journal Year: 2023, Volume and Issue: 21(9), P. 1242 - 1256

Published: Sept. 1, 2023

Abstract SARS-CoV-2 wastewater surveillance (WWS) at treatment plants (WWTPs) can reveal sewered community COVID-19 prevalence. For unsewered areas using septic tank systems (STSs) or holding tanks, how to conduct WWS remains unexplored. Here, two large STSs serving Zuma Beach (Malibu, CA) were studied. Supernatant and sludge concentrations from the directly-sampled parameterized a dynamic solid–liquid separation, mass balance-based model for estimating infection rate of users. Pumped septage before hauling upon WWTP disposal was also sampled assessed. Most (96%) STS samples contained N1 N2 genes, with exceeding supernatant increasing depth while correlating total suspended solids (TSS). The trucked genes which decayed (coefficients: 0.09–0.29 h−1) but remained detectable. Over approximately 5 months starting in December 2020, modeled prevalence estimations among users ranged 8 18%, mirroring larger metropolitan area first 2 months. approaches herein inform public health intervention augment conventional that: (1) user rates communal tanks are estimable (2) pumped hauled be assayed infer where disease is spreading areas.

Language: Английский

Citations

7

Evaluating Wastewater Quality Parameters as an Alternative or Complement to Molecular Indicators for Normalization during SARS-CoV-2 Wastewater-Based Epidemiology DOI Open Access
Judith Straathof, Natalie M. Hull

Environments, Journal Year: 2024, Volume and Issue: 11(4), P. 80 - 80

Published: April 12, 2024

Measuring fecal nucleic acid indicators for data normalization can increase costs during wastewater-based epidemiology (WBE). The efficacy of routinely assayed water quality parameters was assessed as an alternative or complement to viral indicator their utility in adjusting measured SARS-CoV-2 gene concentrations improve the relationship between wastewater molecular and clinical COVID-19 case data. This research covers two study designs: grab samples collected from sewers serving Ohio State University campus composite influent at five treatment plants (WWTPs) across state Ohio. Weekly mandatory testing used monitor infections student population, statewide cases were reported through voluntary testing. Statewide WWTP results showed significant strong correlation confirmed cases, increased when normalized by flow additionally pH, total suspended solids, temperature, but decreased a (PMMoV). On campus, correlations generally not unless PMMoV and/or UV absorbance parameters. Because are some may be autosamplers, incorporating WBE models could minimize cellular decrease costs.

Language: Английский

Citations

2

Wastewater sample storage for physicochemical and microbiological analysis DOI Creative Commons
Gordon Webster, Shrinivas Nivrutti Dighe, William Bernard Perry

et al.

Journal of Virological Methods, Journal Year: 2024, Volume and Issue: 332, P. 115063 - 115063

Published: Nov. 14, 2024

Wastewater-based epidemiology (WBE) is a crucial tool for health and environmental monitoring, providing real-time data on public indicators by analysis of sewage samples. Ensuring the integrity these samples from collection to paramount. This study investigates effects different cold-storage conditions wastewater samples, focusing both microbiological markers (such as extractable nucleic acids, SARS-CoV-2, crAssphage) physicochemical parameters (including ammonium, orthophosphate, pH, conductivity, turbidity). Composite combined raw influent five treatment works in South Wales, UK, were stored at 4°C, -20°C, -80°C, subjected up six freeze-thaw cycles over one year. The found significant storage temperature preservation certain WBE markers, with best yield most frequently seen -80°C. However, majority showed no difference between -80°C or demonstrating that it may not always be necessary archive ultra-low temperatures, thus reducing CO

Language: Английский

Citations

2

Assessment of environmental factors influencing SARS-CoV-2 in Vietnam's surface water across two years of clinical data DOI Creative Commons

Yadpiroon Siri,

Bikash Malla, Le Thanh Thao

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177449 - 177449

Published: Nov. 19, 2024

Wastewater-based epidemiology (WBE) is an effective, non-invasive method for monitoring the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by tracking viral prevalence in water. This study aimed to investigate presence SARS-CoV-2 surface water Vietnam over two years. One-step quantitative reverse transcription polymerase chain reaction (qRT-PCR) assays were employed quantify and its variant-specific mutation sites (G339D/E484A) pepper mild mottle virus (PMMoV) from a total 315 samples (105 per type) compare with reported Coronavirus disease 2019 (COVID-19) cases environmental factors. was detected 38 % (40/105), 43 (45/105), 39 (41/105) Sites A, B, C, respectively, concentrations 3.0-5.6 log

Language: Английский

Citations

2