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Fundamentals of genomic epidemiology, lessons learned from the coronavirus disease 2019 (COVID-19) pandemic, and new directions
Title
Fundamentals of genomic epidemiology, lessons learned from the coronavirus disease 2019 (COVID-19) pandemic, and new directions
Author
Machado, Denis Jacob, White, Richard Allen, III, Kofsky, Janice, Janies, Daniel
Subjects--Topical
COVID-19 (Disease), Epidemiology
Description
The coronavirus disease 2019 (COVID-19) pandemic was one of the significant causes of death worldwide in 2020. The disease is caused by severe acute coronavirus syndrome (SARS) coronavirus 2 (SARS-CoV-2), an RNA virus of the subfamily Orthocoronav...
Spatio-temporal prediction of the COVID-19 pandemic in US counties : modeling with a deep LSTM neural network
Title
Spatio-temporal prediction of the COVID-19 pandemic in US counties : modeling with a deep LSTM neural network
Author
Thill, Jean-Claude, Nikparvar, Behnam, Rahman, Md. Mokhlesur, Hatami, Faizeh
Date Created
2021
Subjects--Topical
Epidemiology, COVID-19 (Disease)
Description
Prediction of complex epidemiological systems such as COVID-19 is challenging on many grounds. Commonly used compartmental models struggle to handle an epidemiological process that evolves rapidly and is spatially heterogeneous. On the other hand,...