Persistence of human Aichi virus infectivity from raw surface water to drinking water

Applied and Environmental Microbiology, Journal Year: 2024, Volume and Issue: 91(1)

Published: Dec. 31, 2024

Human Aichi virus 1 (AiV-1) is a water- and food-borne infection-associated picornavirus that causes gastroenteritis in humans. Recent studies on environmental waters showed high frequency abundance of AiV-1, suggesting it might be an appropriate indicator fecal contamination. We screened 450 surface drinking water samples from Tunisian treatment plant (DWTP) the Sidi Salem dam for AiV-1 by real time reverse transcriptase PCR (RT-qPCR). The persistence infectious particles was evaluated using integrated cell culture approach coupled with quantitative molecular detection (ICC-RT-qPCR). In all, 85 (18.9%) were positive viral loads ranging 0.47 to 11.62 log10 cp/L median 4.97 cp/L, including 30/100 raw, 18/50 decanted, 14/50 flocculated, 9/100 treated, 1/50 tap, 13/100 samples. Of these, 15 (17.6%) contained genotype A particles, five four one surface, three two treated Our data suggest represent potential threat public health. This study also indicates ICC-RT-qPCR practical tool monitoring human waterborne risk aquatic environments.IMPORTANCEHuman Its would analysis (ICC-RT-qPCR) confirmed at all stages process, except tap water. suggests infectivity environments.

Language: Английский

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Building-Scale Wastewater-Based Epidemiology for SARS-CoV-2 Surveillance at Nursing Homes in A Coruña, Spain

Environments, Journal Year: 2023, Volume and Issue: 10(11), P. 189 - 189

Published: Nov. 1, 2023

Wastewater-based epidemiology (WBE) has become an effective tool in the surveillance of infectious diseases such as COVID-19. In this work, we performed a brief study monitoring SARS-CoV-2 viral load wastewater from six nursing homes located metropolitan area A Coruña (Spain) between December 2020 and March 2021. The main objective was to detect outbreaks among residents efficacy vaccination campaign. (RNA copies per L wastewater) determined by reverse-transcription quantitative PCR (RT-qPCR) using quantification cycle (Cq) values for nucleocapsid (N) gene. Our results showed that increase preceded clinical cases, favoring early warning system detects COVID-19 advance, making it possible contain stop transmission virus residents. addition, new vaccines evidenced, since after campaign Coruña, observed many did not present any symptoms disease, although they excreted high amounts their feces. WBE is cost-effective strategy should be implemented all cities prevent emerging or future pandemic threats.

Language: Английский

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The impact of signal variability on epidemic growth rate estimation from wastewater surveillance data

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: March 9, 2023

Background Testing samples of waste water for markers infectious disease became a widespread method surveillance during the COVID-19 pandemic. While these data generally correlate well with other indicators national prevalence, that cover localised regions tend to be highly variable over short time scales. Methods We introduce procedure estimating realtime growth rate pathogen prevalence using series from wastewater sampling. The number copies target gene found in sample is modelled as time-dependent random whose distribution estimated maximum likelihood. output depends on hyperparameter controls sensitivity variability underlying data. apply this reporting N1 SARS-CoV-2 collected at treatment works across Scotland between February 2021 and 2023. Results real-time 121 sampling sites covering diverse range locations population sizes. find fitting natural determines its reliability detecting early stages an epidemic wave. Applying hospital admissions data, we changes are detected average 2 days earlier than Conclusion provide robust generate reliable estimates provides responsive situational awareness inform public health.

Language: Английский

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Online trend estimation and detection of trend deviations in sub-sewershed time series of SARS-CoV-2 RNA measured in wastewater

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 26, 2023

Abstract Wastewater surveillance has proven a key public health tool to understand wide range of community diseases and be especially critical departments throughout the SARS CoV-2 pandemic. The size population served by wastewater treatment plant (WWTP) may limit targeted insight about disease dynamics. To investigate this concern, samples were obtained at lift stations upstream WWTPs within sewer network. First, an online, semi-automatic time series model is fitted weekly measurements WWTP estimate viral trend for compared observations from stations. Second, deviations are identified using Exponentially Weighted Moving Average (EWMA) control chart. analysis reveals that display slightly different dynamics than larger WWTP, highlighting more granular gleaned sampling sites which represent smaller populations. Discussion focuses on use our methods support rapid decision-making based additional, in times concern.

Language: Английский

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