Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network

Abstract 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, machine learning methods are limited at the...

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Autores principales: Behnam Nikparvar, Md. Mokhlesur Rahman, Faizeh Hatami, Jean-Claude Thill
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ac55c202cf834ba3a5d5637020e57b19
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