Wastewater surveillance for viral pathogens: A tool for public health

Heliyon, Год журнала: 2024, Номер 10(13), С. e33873 - e33873

Опубликована: Июнь 29, 2024

A focus on water quality has intensified globally, considering its critical role in sustaining life and ecosystems. Wastewater, reflecting societal development, profoundly impacts public health. Wastewater-based epidemiology (WBE) emerged as a surveillance tool for detecting outbreaks early, monitoring infectious disease trends, providing real-time insights, particularly vulnerable communities. WBE aids tracking pathogens, including viruses, sewage, offering comprehensive understanding of community health lifestyle habits. With the rise global COVID-19 cases, gained prominence, aiding SARS-CoV-2 levels worldwide. Despite advancements treatment, poorly treated wastewater discharge remains threat, amplifying spread water-, sanitation-, hygiene (WaSH)-related diseases. WBE, serving complementary surveillance, is pivotal community-level viral infections. However, there untapped potential to expand surveillance. This review emphasizes importance link between health, highlighting need further integration into management.

Язык: Английский

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Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy Detection for Environmental Applications: A Review

Environmental Science & Technology, Год журнала: 2024, Номер 58(47), С. 20830 - 20848

Опубликована: Ноя. 13, 2024

Surface-enhanced Raman spectroscopy (SERS) has gained significant attention for its ability to detect environmental contaminants with high sensitivity and specificity. The cost-effectiveness potential portability of the technique further enhance appeal widespread application. However, challenges such as management voluminous quantities high-dimensional data, capacity low-concentration targets in presence interferents, navigation complex relationships arising from overlapping spectral peaks have emerged. In response, there is a growing trend toward use machine learning (ML) approaches that encompass multivariate tools effective SERS data analysis. This comprehensive review delves into detailed steps needed be considered when applying ML techniques Additionally, we explored range applications where different were integrated detection pathogens (in)organic pollutants samples. We sought comprehend intricate considerations benefits associated these contexts. explores future synergizing real-world applications.

Язык: Английский

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Wastewater solids drive comparability of sampling methods for SARS-CoV-2 wastewater and environmental surveillance

Journal of environmental chemical engineering, Год журнала: 2025, Номер unknown, С. 115374 - 115374

Опубликована: Янв. 1, 2025

Язык: Английский

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Wastewater Surveillance Data as a Complement to Emergency Department Visit Data for Tracking Incidence of Influenza A and Respiratory Syncytial Virus — Wisconsin, August 2022–March 2023

MMWR Morbidity and Mortality Weekly Report, Год журнала: 2023, Номер 72(37), С. 1005 - 1009

Опубликована: Сен. 14, 2023

Wastewater surveillance has been used to assist public health authorities in tracking local transmission of SARS-CoV-2. The usefulness wastewater track community spread other respiratory pathogens, including influenza virus and syncytial (RSV), is less clear. During the 2022-23 diseases season, concentrations A RSV samples three major Wisconsin cities were compared with emergency department (ED) visits associated these pathogens. In all cities, higher numbers ED (Kendall's tau range = 0.50-0.63 for influenza-associated illness 0.30-0.49 RSV-associated illness). Detections both often preceded a rise each pathogen, material remained detectable up 3 months after pathogen-specific declined. These results demonstrate that potential complement conventional methods surveillance, detecting viral signals earlier longer duration than do clinical data. Continued use as supplement established systems such might improve understanding response seasonal outbreaks.

Язык: Английский

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Precision and Accuracy Limits of Wastewater-Based Epidemiology—Lessons Learned from SARS-CoV-2: A Scoping Review

Water, Год журнала: 2024, Номер 16(9), С. 1220 - 1220

Опубликована: Апрель 25, 2024

Background: Wastewater-based epidemiology (WBE) has become crucial for early microbial outbreak detection and public health surveillance globally, underscored by the COVID-19 pandemic. However, despite advancements in sampling analyses, interpreting results estimating infection rates pose challenges. Enhancements sewer system engineering, understanding wastewater environment, addressing impact of environment on accuracy are needed. Objective: This scoping review aims to identify engineering knowledge gaps WBE guide future study designs. Design: Research “wastewater-based epidemiology” involving “engineering”, published between 2015 2023, was extracted from Scopus database. Results: examines elements influencing WBE’s precision reliability, especially identifying measuring SARS-CoV-2 RNA. It identifies significant effects analytical practices, wastewater’s composition performance. Conclusions: calls further investigation into economical evaluation methods these factors enhance data normalization interpretation, utilizing existing treatment plant used control, which could be a cost-effective approach over more expensive population biomarkers. approach, aside SARS-CoV-2, holds potential application broader number types diseases, as well consumption habits.

Язык: Английский

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Multi-factor normalisation of viral counts from wastewater improves the detection accuracy of viral disease in the community

Environmental Technology & Innovation, Год журнала: 2024, Номер 36, С. 103720 - 103720

Опубликована: Июнь 29, 2024

The detection of viruses (e.g. SARS-CoV-2, norovirus) in wastewater represents an effective way to monitor the prevalence these pathogens circulating within community. However, accurate quantification viral concentrations wastewater, proportional human input, is constrained by a range uncertainties, including (i) dilution sewer network, (ii) degradation RNA during transit, (iii) catchment population and facility use, (iv) efficiency concentration extraction from (v) inhibition amplification RT-qPCR step. Here, we address uncertainties investigating several potential normalisation factors ammonium orthophosphate. A faecal indicator virus (crAssphage), recovery process-control (murine norovirus bacteriophage Phi6), used for quality control step, were also considered. We found that multi-factor SARS-CoV-2 data was optimal using combination crAssphage, recovery, improve prediction accuracy relative clinical test data. Using multi-normalised data, lasso regression model with random forest modelled residuals lowers error positives 46 %, compared single linear raw This approach enables more wastewater-based predictions cases up five days advance identifying trends disease before testing, demonstrates pathogen currently monitored emerging diseases.

Язык: Английский

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20-Month monitoring of SARS-CoV-2 in wastewater of Curitiba, in Southern Brazil

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(31), С. 76687 - 76701

Опубликована: Май 27, 2023

Язык: Английский

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Evaluation of concentration procedures, sample pre-treatment, and storage condition for the detection of SARS-CoV-2 in wastewater

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(48), С. 106660 - 106670

Опубликована: Сен. 21, 2023

Crucial information on the pandemic's spread has been gathered by monitoring trend of SARS-CoV-2 in wastewater. This surveillance highlighted that initial concentration is a critical step analytical procedure due to low viral titer may be present this matrix. paper presents results evaluation two different wastewater protocols determine most efficient and cost-effective. The methods tested were following: (a) biphasic separation system with PEG-dextran (b) PEG/NaCl precipitation protocol. Other aspects detection method also investigated including influence storage temperature virus recovery heat treatment pasteurization, which aims make samples safer for operators environment. was found perform better than system, allowing more sensitive identification presence higher identified all results. Storage at 4.3±0.2°C up 3 weeks did not adversely affect pasteurization pre-treatment increases operator safety maintains concentration.

Язык: Английский

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Wastewater surveillance as a predictive tool for COVID-19: A case study in Chengdu

PLoS ONE, Год журнала: 2025, Номер 20(5), С. e0324521 - e0324521

Опубликована: Май 28, 2025

Objective This study was conducted to enhance conventional epidemiological surveillance by implementing city-wide wastewater monitoring of SARS-CoV-2 RNA. The research aimed develop a quantitative model for estimating infection rates and compare these predictions with clinical case data. Furthermore, this utilized as an early warning system potential COVID-19 outbreaks during large international event, the Chengdu 2023 FISU Games. Methods employed based epidemiology (WBE), utilizing samples collected twice week from nine treatment plants that serve 66.1% Chengdu’s residents, totaling 15.2 million people. were between January 18, 2023, June 15, tested A back-calculation infections integrating viral load measurements human fecal urinary shedding rates, well population size estimates derived NH4-N concentrations, Monte Carlo simulations quantify uncertainty. model’s compared number registered cases identified Nucleic Acid Testing Platform same period. Additionally, we sampling two manholes in pipeline, which encompassed all residents World University Games village, We also gathered data on symptom July 20 August 11. Results From third twenty-fourth weekly median concentration RNA fluctuated, starting at 16.94 copies/ml week, decreasing 1.62 fifteenth then gradually rising peak 41.27 twentieth before ultimately declining 8.74 week. During period, new exhibited similar trend, results indicated significant correlation (spearman’s r = 0.93, P < 0.001). estimated approximately 2,258,245 individuals (P5-P95: 847,869 - 3,928,127) potentially contracted epidemic wave March 4th 15th, is roughly 33 times (68,190 cases) reported Platform. SARS-CoV-2, model, ranged 0.012% 0.004% 0.020%) lowest baseline 3.27% 1.23% 5.69%) epidemic, 15.1% 5.65% 26.2%) infected 15th. did not observe any or cluster there no difference concentrations athletes after check-in village. Conclusions demonstrates effectiveness long-term sentinel approach providing warnings events. method significantly enhances traditional surveillance. offers reliable means individuals, can be instrumental informing policy decisions.

Язык: Английский

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Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance

Nature Water, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Язык: Английский

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