Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis Article Swipe

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Daniele Proverbio , Françoise Kemp , Stefano Magni , Leslie Ogorzaly , Henry‐Michel Cauchie , Jorge Gonçalves , Alexander Skupin , Atte Aalto ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1016/j.scitotenv.2022.154235

Related Topics

Computer Science

Sars-Cov-2

Environmental Science

Covid-19 Pandemic

Outbreak (2024 Film)

Environmental Engineering

Infectious Diseases (Medical Specialty)

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Coronavirus disease 2019 (COVID-19) Wastewater Warning system Computer science Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Risk analysis (engineering) Environmental science Epidemic control Early warning system 2019-20 coronavirus outbreak Outbreak Virology Environmental engineering Biology Telecommunications Medicine Pathology Disease Infectious disease (medical specialty)

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.scitotenv.2022.154235
OA Status: hybrid
Cited By: 50
References: 69
Related Works: 10
OpenAlex ID: https://openalex.org/W4221131456

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OpenAlex ID: https://openalex.org/W4221131456

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DOI: https://doi.org/10.1016/j.scitotenv.2022.154235

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Title: Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-03-01

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Authors: Daniele Proverbio, Françoise Kemp, Stefano Magni, Leslie Ogorzaly, Henry‐Michel Cauchie, Jorge Gonçalves, Alexander Skupin, Atte Aalto

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Landing page: https://doi.org/10.1016/j.scitotenv.2022.154235

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OA status: hybrid

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Concepts: Coronavirus disease 2019 (COVID-19), Wastewater, Warning system, Computer science, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Risk analysis (engineering), Environmental science, Epidemic control, Early warning system, 2019-20 coronavirus outbreak, Outbreak, Virology, Environmental engineering, Biology, Telecommunications, Medicine, Pathology, Disease, Infectious disease (medical specialty)

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Cited by: 50

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Citations by year (recent): 2025: 7, 2024: 16, 2023: 15, 2022: 12

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References (count): 69

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Related works (count): 10

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