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DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting

2020-09-29

Abstract excerpt

How do we forecast an emerging pandemic in real time in a purely data-driven manner? How to leverage rich heterogeneous data based on various signals such as mobility, testing, and/or disease exposure for forecasting? How to handle noisy data and generate uncertainties in the forecast? In this paper, we present D eep C ovid , an operational deep learning frame-work designed for real-time COVID-19 forecasting. D ee...

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Literature Corpus work
bea6550f-9ce8-50ec-9f2b-286364bbe21d
DOI
10.1101/2020.09.28.20203109
Open publication

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