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

Rana, Md. Mehedi Rahman and Rahman, Farjana and Faysal, Jabed Al and Rahman, Md. Anisur (2021) An Effective Prediction on COVID-19 Prevalence for India and Japan using Fbprophet Model. Asian Journal of Research in Computer Science, 11 (2). pp. 16-28. ISSN 2581-8260

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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.

Item Type: Article
Subjects: Middle East Library > Computer Science
Depositing User: Unnamed user with email support@middle-eastlibrary.com
Date Deposited: 22 Mar 2023 08:24
Last Modified: 29 Jul 2024 09:48
URI: http://editor.openaccessbook.com/id/eprint/91

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