Correlating Quantitative and Genomic SARS-CoV-2 Wastewater Data with Clinical Metrics in Metropolitan Perth, Western Australia

Published: March 5, 2024

Wastewater-based epidemiology (WBE) has emerged as a key method for continuous monitoring of COVID-19 prevalence including circulating SARS-CoV-2 lineages. WBE addresses limitations traditional clinical surveillance such test availability, fluctuating testing rates and increased reliance on rapid antigen tests. Our study in Perth, Western Australia, found significant positive correlation between concentrations wastewater PCR positivity (rs = 0.772; p < 0.001) over an 18-month period that included four successive waves. A strong was apparent the proportions lineages cases within same region 0.728; 0.001), earlier detection Omicron recombinant before case confirmation. The successful integration with healthcare data underscores its critical role enhancing public health decision-making pandemic management. This approach not only demonstrates value current global efforts but also highlights potential to address future challenges, comprehensive disease response approach.

Language: Английский

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Mathematical assessment of wastewater-based epidemiology to predict SARS-CoV-2 cases and hospitalizations in Miami-Dade County

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

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Evaluating approach uncertainties of quantitative detection of SARS-CoV-2 in wastewater: Concentration, extraction and amplification

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175285 - 175285

Published: Aug. 3, 2024

Language: Английский

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Estimating rates of change to interpret quantitative wastewater surveillance of disease trends

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175687 - 175687

Published: Aug. 22, 2024

Language: Английский

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Efficient concentration of viral nucleic acid in wastewater through surfactant releasing and a two-step magnetic bead extraction and purification

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175742 - 175742

Published: Aug. 24, 2024

Language: Английский

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