Application of neighborhood-scale wastewater-based epidemiology in low COVID-19 incidence situations
Abstract Wastewater-based epidemiology (WBE), an emerging approach for community-
wide COVID-19 surveillance, was primarily characterized at large sewersheds such as …
wide COVID-19 surveillance, was primarily characterized at large sewersheds such as …
[HTML][HTML] A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic
The potential utility of wastewater-based epidemiology as an early warning tool has been
explored widely across the globe during the current COVID-19 pandemic. Methods to detect …
explored widely across the globe during the current COVID-19 pandemic. Methods to detect …
Evaluating environmental DNA detection of a rare fish in turbid water using field and experimental approaches
Detection sensitivity of aquatic species using environmental DNA (eDNA) generally
decreases in turbid water but is poorly characterized. In this study, eDNA detection targeted …
decreases in turbid water but is poorly characterized. In this study, eDNA detection targeted …
Expansion of wastewater-based disease surveillance to improve health equity in California's Central Valley: sequential shifts in case-to-wastewater and …
KF Kadonsky, CC Naughton, M Susa, R Olson… - Frontiers in Public …, 2023 - frontiersin.org
Introduction Over a third of the communities (39%) in the Central Valley of California, a richly
diverse and important agricultural region, are classified as disadvantaged—with inadequate …
diverse and important agricultural region, are classified as disadvantaged—with inadequate …
Wastewater surveillance pilot at US military installations: a cost model analysis
J Sanjak, EM McAuley, R Pinkham, J Tarnowski… - medRxiv, 2023 - medrxiv.org
Background The coronavirus disease 2019 (COVID-19) pandemic highlighted the need for
pathogen surveillance systems to augment both early warning and outbreak …
pathogen surveillance systems to augment both early warning and outbreak …
[PDF][PDF] Applications of Missing Data Imputation Methods in Wastewater Treatment Plants
A Chaoui, K Rebija, K Chkaiti, M Laaouan… - … Journal of Advanced …, 2023 - researchgate.net
Missing data pose a big challenge in the field of wastewater treatment, representing a
frequent issue in data quality that can result in misleading analyses and compromised …
frequent issue in data quality that can result in misleading analyses and compromised …
[PDF][PDF] Charlene Ranadheera, Public Health Agency of Canada (PHAC), Canada
V Marcotrigiano, ASLBT Della Provincia… - virus (along with …, 2023 - scienceopen.com
Methods: In this study, we evaluated correlations between public health and wastewater
data (represented as SARS-CoV-2 target gene copies normalized by pepper mild mottle …
data (represented as SARS-CoV-2 target gene copies normalized by pepper mild mottle …
Development of a COVID-19 warning system for neighborhood-scale wastewater-based epidemiology in low incidence situations
Wastewater-based epidemiology (WBE) is an emerging approach for community-wide
COVID-19 surveillance. WBE was characterized mostly at large sewersheds such as …
COVID-19 surveillance. WBE was characterized mostly at large sewersheds such as …
[图书][B] Conditional Independence Test with Neural Network
X Wu - 2022 - search.proquest.com
This dissertation is a combination of two bodies of work in modern statistical inference. The
first work introduces and studies a novel conditional Independence test using neural …
first work introduces and studies a novel conditional Independence test using neural …