Learning where to look for COVID-19 growth: Multivariate analysis of COVID-19 cases over time using explainable convolution-LSTM

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Novanto Yudistira, Sutiman Bambang Sumitro, Alberth Nahas, Nelly Florida Riama

Published: 01 Jan 2021, Last Modified: 01 Oct 2024Appl. Soft Comput. 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Different COVID-19 pandemic growth patterns in different hemisphere and season occur over time.•Contributing factors responsible for the growth of COVID-19 cases are investigated.•Multivariate analysis via visual attribution of Convolution–LSTM is proposed.