The value of environmental surveillance for pandemic response DOI Creative Commons
Pedro Nascimento de Lima,

Stephen L. Karr,

Jing Zhi Lim

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 22, 2024

Environmental sampling surveillance (ESS) technologies, such as wastewater genomic and air sensors, have been increasingly adopted during the COVID-19 pandemic to provide valuable information for public health response. However, ESS coverage is not universal, decision-makers need support choose whether how expand sustain efforts. This paper introduces a model approach quantify value of systems that leading epidemiological indicators Using base-case scenario, we in first year new demonstrate depends on biological societal parameters. Under baseline assumptions, an system provides 5-day early warning relative syndromic could reduce deaths from 149 (95% prediction interval: 136–169) 134 (124–144) per 100,000 population COVID-19-like pandemic, resulting net monetary benefit $1,450 ($609-$2,740) person. The system's higher more transmissible deadly pathogens but hinges effectiveness interventions. Our findings also suggest would net-positive benefits even if they were permanently maintained like SARS-Cov-2 emerged once every century or less frequently. results can be used prioritize ESS, decide currently uncovered populations, determine scale systems' over time.

Language: Английский

The National Wastewater Surveillance System (NWSS): From inception to widespread coverage, 2020–2022, United States DOI Creative Commons
Carly Adams,

Megan Bias,

Rory M. Welsh

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 924, P. 171566 - 171566

Published: March 9, 2024

Wastewater surveillance is a valuable tool that can be used to track infectious diseases in community. In September 2020, the Centers for Disease Control and Prevention (CDC) established National Surveillance System (NWSS) coordinate build nation's capacity detect quantify concentrations of SARS-CoV-2 RNA U.S. wastewater. This first summary NWSS, covering 1, 2020 December 31, 2022. Through partnerships with state, tribal, local, territorial health departments, NWSS became national platform readily expanded adapted meet changing public needs. Beginning 209 sampling sites rapidly >1500 by 2022, ≈47 % population. As >152,000 unique wastewater samples have been collected partners, primarily from treatment plants (WWTPs). WWTPs participating tend larger than average WWTP serve more populated communities. ≈8 nearly 16,000 were NWSS. partners variety methods testing samples; however, progress being made standardize these methods. July 2021, started submitting genome sequencing data October monkeypox virus testing, plans include additional disease targets future. rapid implementation expansion important lessons learned. programs should consider both surge long-term capacities when developing an plan, early standardization facilitate comparisons across sites. has proven flexible sustainable system will continue useful complement case-based guiding action.

Language: Английский

Citations

19
What toilets can reveal about COVID, cancer and other health threats DOI Creative Commons

Betsy Ladyzhets

Nature, Journal Year: 2024, Volume and Issue: 628(8008), P. 492 - 494

Published: April 17, 2024

Wastewater testing grew tremendously during the pandemic. But is it ready to tackle opioid crisis, air pollution and antibiotic resistance?

Language: Английский

Citations

6
Predicting hospital admissions due to COVID-19 in Denmark using wastewater-based surveillance DOI Creative Commons

Aina Gudde,

Lene Wulff Krogsgaard, Guido Benedetti

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 966, P. 178674 - 178674

Published: Feb. 1, 2025

Wastewater surveillance has become a fundamental tool to monitor the circulation of SARS-CoV-2 in order prepare timely public health responses. In this study we integrate available clinical data on hospital admissions with wastewater and investigate if predictions number due COVID-19 Danish hospitals are improved by including concentrations SARS-CoV-2. We implement state space models describe relationship between COVID-19, three-week classification delay, more recent numbers total COVID-19. Including SARS-CoV-2, consider five-week As result translate into two hindcasts, one nowcast forecasts. The predicted values for all time frames follow observed well. find that log likelihood higher when (across horizons) lagging observations whether changes occur before does not further improvements. Our shows improve estimates implying add valuable information about underlying transmission imminent development near-future disease burden from is better informed carefully concentrations.

Language: Английский

Citations

0
Australian and New Zealand Laboratory Experience and Proposed Future Direction of Wastewater Pathogen Genomic Surveillance DOI Open Access
Avram Levy,

Christina Crachi,

Jake Gazeley

et al.

Environments, Journal Year: 2025, Volume and Issue: 12(4), P. 114 - 114

Published: April 8, 2025

Wastewater pathogen surveillance was rapidly implemented across Australia and New Zealand as a public health tool during the COVID-19 pandemic. To assess method consistency identify opportunities for harmonization, we surveyed all Australian Laboratories conducting government-funded wastewater surveillance. The survey demonstrated alignment of some choices, particularly municipal treatment plant (WWTP) sampling use electromagnetic membrane filtration followed by RT-qPCR. However, key differences were observed in sample volumes; nucleic acid purification methods; validation approaches; sequencing, analysis, reporting methods SARS-CoV-2 lineages. A lack consensus on best-practice evident, highlighting need interlaboratory data exchanges to support comparability. Following pandemic period, several jurisdictional programs discontinued despite mounting international evidence utility wastewater-based epidemiology range pathogens. Subsequently, nationally funded program announced Australia, necessitating re-establishment laboratory capacity jurisdictions expansion target pathogens other centers. results this are intended inform enhancement regional provide foundation knowledge sharing approach harmonization.

Language: Английский

Citations

0
Online dashboards for SARS-CoV-2 wastewater-based epidemiology DOI
Daniele Focosi, Pietro Giorgio Spezia, Fabrizio Maggi

et al.

Future Microbiology, Journal Year: 2024, Volume and Issue: 19(9), P. 761 - 769

Published: May 23, 2024

Aim: Wastewater-based epidemiology (WBE) is increasingly used to monitor pandemics. In this manuscript, we review methods and limitations of WBE, as well their online dashboards. Materials & methods: Online dashboards were retrieved using PubMed search engines, annotated for timeliness, availability English version, details on SARS-CoV-2 sublineages, normalization by population PPMoV load, case/hospitalization count charts raw data export. Results: We 51 web portals, half them from Europe. Africa represented South only, only seven portals are available Asia. Conclusion: WBS provides near-real-time cost-effective monitoring analytes across space time in populations. However, tremendous heterogeneity still persists the WBE literature.

Language: Английский

Citations

2
Mathematical assessment of wastewater-based epidemiology to predict SARS-CoV-2 cases and hospitalizations in Miami-Dade County DOI Creative Commons
Binod Pant,

Salman Safdar,

Calistus N. Ngonghala

et al.

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

Published: April 16, 2024

Abstract This study presents a wastewater-based mathematical model for assessing the transmission dynamics of SARS-CoV-2 pandemic in Miami-Dade County, Florida. The model, which takes form deterministic system nonlinear differential equations, monitors temporal disease, as well changes viral RNA concentration county’s wastewater (which consists three sewage treatment plants). was calibrated using data during third wave (specifically, time period from July 3, 2021 to October 9, 2021). used predict case and hospitalization trends county aforementioned period, showing strong correlation (with coefficient r = 0.99) between observed (detected) weekly corresponding predicted by model. model’s prediction week when maximum number cases will be recorded simulation precisely matches observed/reported were August 14, Furthermore, projection is about 15 times higher than count on that day (i.e., estimated actual/observed confirmed cases). result consistent with numerous modeling studies (including other modeling, statistical models) literature. accurately predicts one-week lag peak COVID-19 Miami-Dade, model-predicted hospitalizations peaking 21, 2021. Detailed time-varying global sensitivity analysis carried out determine parameters (wastewater-based, epidemiological biological) have most influence chosen response function - cumulative load wastewater. revealed rate infectious individuals, shedding recovery average fecal per person unit proportion shed not lost before measurement at plant influential entire study. shows, conclusively, surveillance can very powerful indicator measuring providing early-warning signal current burden) predicting future trajectory burden (e.g., hospitalizations) emerging re-emerging diseases, such SARS-CoV-2, community.

Language: Английский

Citations

1
PreK-12 school and citywide wastewater monitoring of the enteric viruses astrovirus, rotavirus, and sapovirus DOI
Madeline Wolken, Michael Y. Wang, Julia C. Schedler

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 931, P. 172683 - 172683

Published: April 23, 2024

Language: Английский

Citations

1
Forecasting SARS-CoV-2 outbreak through wastewater analysis: a success in wastewater-based epidemiology DOI Creative Commons

Rubén Cañas Cañas,

Raimundo Seguí, Jorge Casaña Mohedo

et al.

Frontiers of Environmental Science & Engineering, Journal Year: 2024, Volume and Issue: 19(1)

Published: Nov. 21, 2024

Language: Английский

Citations

1
Identifying real-time surveillance indicators that can be used to estimate COVID-19 hospital admissions DOI Creative Commons
Elise Grover, Andrew J. Hill,

Irina Kasarskis

et al.

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

Published: June 26, 2024

Abstract Numerous approaches have been used to track COVID-19 trends, from wastewater surveillance laboratory reporting of diagnostic test results. However, questions remain about how best focus efforts during and after public health emergencies. Using an archive SARS-CoV-2 data, we reconstructed seven real-time indicators assessed their performance as predictors 7-day moving average hospital admissions in Colorado October 2020 March 2024. Models were constructed using neural network models Ordinary Least Squares regression. We found that census emergency-department based syndromic surveillance, daily the demand emergency (PHE) (October – May 2023) (May 2023 2024). The removal our multi-indicator resulted a decrease model performance, indicating provides important unique information. By contrast, capacity predict was not meaningfully reduced when sentinel positivity, statewide and/or case report data dropped prediction PHE. These findings underscore importance hospital-based for monitoring admissions, and, conversely, suggest percent positivity are essential hospitalizations Colorado.

Language: Английский

Citations

0
A Multi-City COVID-19 Categorical Forecasting Model Utilizing Wastewater-Based Epidemiology DOI Creative Commons

Naomi Rankin,

Samee Saiyed, Hongru Du

et al.

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

Published: Sept. 16, 2024

Abstract The COVID-19 pandemic highlighted shortcomings in forecasting models, such as unreliable inputs/outputs and poor performance at critical points. As remains a threat, it is imperative to improve current approaches by incorporating reliable data alternative targets better inform decision-makers. Wastewater-based epidemiology (WBE) has emerged viable method track transmission, offering more metric than reported cases for outcomes like hospitalizations. Recognizing the natural alignment of wastewater systems with city structures, ideal leveraging WBE data, this study introduces multi-city, wastewater-based model categorically predict Using hospitalization six US cities, accompanied other epidemiological variables, we develop Generalized Additive Model (GAM) generate two categorization types. Hospitalization Capacity Risk Categorization (HCR) predicts burden on healthcare system based number available hospital beds city. Rate Trend (HRT) trajectory growth rate these categorical thresholds, create probabilistic forecasts retrospectively risk trend category cities over 20-month period 1, 2, 3 week windows. We also propose new methodology measure change points, or time periods where sudden changes outbreak dynamics occurred. explore influence predictor hospitalizations, showing its inclusion positively impacts model’s performance. With study, are able capacity disease trends novel useful way, giving decision-makers tool

Language: Английский

Citations

0