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Research Article Open access CC BY 4.0

An Effective Prediction on COVID-19 Prevalence for India and Japan using Fbprophet Model

Md. Mehedi Rahman Rana, Farjana Rahman, Jabed Al Faysal, Md. Anisur Rahman

Asian Journal of Research in Computer Science · pp. 16–28 · Published 19 Aug 2021

10.9734/ajrcos/2021/v11i230258

Abstract

Coronavirus has become a significant concern for the whole world. It has had a substantial influence on our social and economic life. The infection rate is rapidly increasing at every moment throughout the world. At present, predicting coronavirus has become one of the challenging issues for us. As the pace of COVID-19 detection increases, so does the death rate. This research predicts the number of coronavirus detection and deaths using Fbprophet, a tool designed to assist in performing time series forecasting at a large scale. Two major affected countries, India and Japan, have been taken into consideration in our approach.  Using the prophet model, a prediction is performed on the number of total cases, new cases, total deaths and new deaths. This model works considerably well, and it has given a satisfactory result that may help the authority in taking early and appropriate decisions depending on the predicted COVID situation.

COVID-19 prediction model Fbprophet time series analysis

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Cited by 3

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Ali Abbood Khaleel, Ali Noori Kareem, Laith Hikmet Mahdi · Indonesian Journal of Electrical Engineering and Computer Science · 2023

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