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OU wastewater surveillance system expands to detect foodborne pathogens in the community

Dubai Police Showcases 12 Pioneering Eco-Friendly Projects at COP28

Response of wastewater-based epidemiology predictor for the second wav by Manish Kumar, Madhvi Joshi et al

In this work, we present an eight-month longitudinal study of wastewater-based epidemiology (WBE) in Ahmedabad, India, where wastewater surveillance was introduced in September 2020 after the successful containment of the first wave of COVID-19 to predict the resurge of the infection during the second wave of the pandemic. The study aims to elucidate the weekly resolution of the SARS-CoV-2 RNA data for eight months in wastewater samples to predict the COVID-19 situation and identify hotspots in Ahmedabad. A total of 287 samples were analyzed for SARS-CoV-2 RNA using RT-PCR, and Spearman's rank correlation was applied to depict the early warning potential of WBE. During September 2020 to April 2021, the increasing number of positive wastewater influent samples correlated with the growing number of confirmed clinical cases. It also showed clear evidence of early detection of the second wave of COVID-19 in Ahmedabad (March 2021). 258 out of a total 287 samples were detected positive

Increase in COVID detected from wastewater surveillance in Missoula

Wastewater-based epidemiology of SARS-CoV-2 and Campylobacter: detecti by Shuxin Zhang

Wastewater-based epidemiology (WBE) is a promising approach to estimating population-wide disease prevalence by detecting various disease-related biomarkers in wastewater. Different from the untimely disease surveillance based on clinical reports, WBE surveillance detects early outbreaks of pathogens. It thus provides an early warning before pathogens are identified by healthcare systems. However, a series of uncertainties such as pathogen shedding, in-sewer transportation, and analytical methods for biomarker concentration in wastewater could induce large variances to the WEB back-estimation of disease prevalence. These knowledge gaps need to be addressed to improve the accuracy of disease surveillance using the WBE approach. This PhD thesis studied two important human pathogens, one virus (severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)) and one bacterium (Campylobacter spp.). Coronavirus disease (COVID-19) caused by SARS-CoV-2 has become a public health emergency of int

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