Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks-Reference-Cited by-同舟云学术

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Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks

Published:2024-03 Issue: Volume:917 Page:170367
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Zamarreño Jesús M.,Torres-Franco Andrés F.,Gonçalves José,Muñoz Raúl,Rodríguez Elisa,Eiros José María,García-Encina Pedro

Funder

European Commission

Federación Española de Enfermedades Raras

Junta de Castilla y León

Publisher

Elsevier BV

Reference36 articles.

1. Genetic prediction of icu hospitalization and mortality in covid-19 patients using artificial neural networks;Asteris;J. Cell. Mol. Med.,2022

2. Artificial neural networks for short-term forecasting of cases, deaths, and hospital beds occupancy in the COVID-19 pandemic at the Brazilian Amazon;Braga;PLoS One,2021

3. Quantification of SARS-CoV-2 in wastewater samples from hospitals treating COVID-19 patients during the first wave of the pandemic in Brazil;de Araújo;Sci. Total Environ.,2023

4. Viability of SARS-CoV-2 in river water and wastewater at different temperatures and solids content;De Oliveira;Water Res.,2021

5. SARS-CoV-2 wastewater surveillance data can predict hospitalizations and ICU admissions;Galani;Sci. Total Environ.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research Progress and Perspectives on Wastewater-Based Epidemiology: A Bibliometric Analysis;Water;2024-06-20

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