Article

Modelling for prediction of the spread and severity of COVID-19 and its association with socioeconomic factors and virus types

2020-06-20

Abstract excerpt

<h4>ABSTRACT</h4> We report the development of a Weibull based Long-Short-Term-Memory approach (W-LSTM) for the prediction of COVID-19 disease. The W-LSTM model developed in this study, performs better in terms of MSE, R 2 and MAPE, as compared to the previously published models, including ARIMA, LSTM and their variations. Using W-LSTM model, we have predicted the beginning and end of the current cycle of COVID-19...

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Identifiers and source

Literature Corpus work: dc59cb6c-47a0-5b21-967a-3e836e3bc24e
DOI: 10.1101/2020.06.18.20134874

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