“pySewage”: a hybrid approach to predict the number of SARS-CoV-2-infected people from wastewater in Brazil-Reference-Cited by-同舟云学术

“pySewage”: a hybrid approach to predict the number of SARS-CoV-2-infected people from wastewater in Brazil

Published:2022-05-06 Issue:44 Volume:29 Page:67260-67269
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

de Sousa Adriano Roberto Vieira,do Carmo Silva Lívia,de Curcio Juliana Santana,da Silva Hugo Delleon,Eduardo Anunciação Carlos,Maria Salem Izacc Silvia,Neto Flavio Olimpio Sanches,de Paula Silveira Lacerda Elisângela

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

JBS-Swift Foods Company

Academic Cooperation Program in National Defense

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-022-20609-z.pdf

Reference66 articles.

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3. Arora S, Nag A, Sethi J et al (2020) Sewage surveillance for the presence of SARS-CoV-2 genome as a useful wastewater based epidemiology (WBE) tracking tool in India. Water Sci Technol 82:2823–2836

4. Barua VB, Juel MAI, Blackwood AD et al (2022) Tracking the temporal variation of COVID-19 surges through wastewater-based epidemiology during the peak of the pandemic: a six-month long study in Charlotte. North Carolina Sci Total Environ 814:152503

5. Bivins A, North D, Ahmad A et al (2020) Wastewater-based epidemiology: global collaborative to maximize contributions in the fight against COVID-19. Environ Sci Technol 54:7754–7757

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