Borough-level COVID-19 forecasting in London using deep learning techniques and a novel MSE-Moran’s I loss function

Borough-level COVID-19 forecasting in London using deep learning techniques and a novel MSE-Moran’s I loss function

Following its identification in late 2019, COVID-19 has spread around the globe, and been declared a pandemic. With this in mind, modelling the spread of COVID-19 remains important for responding effectively. To date research has focused primarily on modelling the spread of COVID-19 on national and...

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Bibliographic Details
Main Authors: Frederik Olsen, Calogero Schillaci, Mohamed Ibrahim, Aldo Lipani
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Results in Physics
Subjects:
COVID-19
Deep Learning
LSTM
Epidemiological Modelling
Pandemic
Online Access:http://www.sciencedirect.com/science/article/pii/S2211379722001450

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