Data-driven estimation of COVID-19 community prevalence through wastewater-based epidemiology-Reference-Cited by-同舟云学术

Data-driven estimation of COVID-19 community prevalence through wastewater-based epidemiology

Published:2021-10 Issue: Volume:789 Page:147947
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Li Xuan,Kulandaivelu Jagadeeshkumar,Zhang Shuxin,Shi Jiahua,Sivakumar Muttucumaru,Mueller Jochen,Luby Stephen,Ahmed Warish,Coin Lachlan,Jiang Guangming

Funder

Australian Research Council

University of Wollongong

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference52 articles.

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3. Comparison of virus concentration methods for the RT-qPCR-based recovery of murine hepatitis virus, a surrogate for SARS-CoV-2 from untreated wastewater;Ahmed;Sci. Total Environ.,2020

4. Analytical methodologies for the detection of SARS-CoV-2 in wastewater: protocols and future perspectives;Alygizakis;Trends Anal. Chem.,2021

5. Assessing the accuracy of ANFIS, EEMD-GRNN, PCR, and MLR models in predicting PM2. 5;Ausati;Atmos. Environ.,2016

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