Wastewater-based surveillance of SARS-CoV-2: Short-term projection (forecasting), smoothing and outlier identification using Bayesian smoothing-Reference-Cited by-同舟云学术

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Wastewater-based surveillance of SARS-CoV-2: Short-term projection (forecasting), smoothing and outlier identification using Bayesian smoothing

Published:2024-11 Issue: Volume:949 Page:174937
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Manuel Douglas G.,Saran Gauri,Lee Ivan,Yusuf Warsame,Thomson Mathew,Mercier Élisabeth,Pileggi Vince,McKay R. Michael,Corchis-Scott Ryland,Geng Qiudi,Servos Mark,Ikert Heather,Dhiyebi Hadi,Yang Ivy M.,Harvey Bart,Rodenburg Erin,Millar Catherine,Delatolla Robert

Publisher

Elsevier BV

Reference31 articles.

1. Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts [version 2; peer review: 1 approved, 1 approved with reservations];Abbott;Welcome Open Res.,2020

2. Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts;Abbott;Wellcome Open Res.,2020

3. EpiNow2: estimate real-time case counts and time-varying epidemiological parameters;Abbott,2020

4. Quest for optimal regression models in SARS-CoV-2 wastewater based epidemiology;Aberi;Int. J. Environ. Res. Public Health,2021

5. Uncertainties in estimating SARS-CoV-2 prevalence by wastewater-based epidemiology;Arabzadeh;Water Sci. Technol.,2021

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