COVID-19 Outbreak Prediction and Forecasting in Bangladesh using Machine Learning Algorithm

Md. Kamruzaman; Mohammad Al-Amin; S M Abdullah Al Shuaeb

Title:
COVID-19 Outbreak Prediction and Forecasting in Bangladesh using Machine Learning Algorithm

Authors:
S M Abdullah Al Shuaeb | Md. Kamruzaman | Mohammad Al-Amin

Cite This Article :

S M Abdullah Al Shuaeb | Md. Kamruzaman | Mohammad Al-Amin "COVID-19 Outbreak Prediction and Forecasting in Bangladesh using Machine Learning Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1, December 2020, pp.829-835, URL: https://www.ijtsrd.com/papers/ijtsrd38068.pdf

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Abstract :
In this time, Novel Corona Virus is an important issue in the world, it also named COVID-19. This virus has been come from Wuhan, China in last December 2019. This virus has created critical circumstances in the whole world especially Bangladesh. The outbreak of COVID-19 is increasing gradually in Bangladesh. To predict and forecasting COVID-19 in Bangladesh we have used machine learning (ML) Linear Regression model. LR model is useful to predict the outbreak of COVID-19 in Bangladesh. It can be helped efficiently to predict some common numerical data like observation day, tested case, affected case, death case, recover cases, and forecast the number of upcoming cases for the next 30 days in Bangladesh. Our paper to study to analyze the epidemic growth of the COVID-19 in Bangladesh. We have applied the mathematical regression model to analyze the prediction and forecast for the effective threat of the COVID-19 in Bangladesh. The main objective of this paper how to predict the virus-affected cases, recover cases, death cases, tested cases, and forecasting the future situation of Bangladesh.

Keywords :
Machine Learning (ML), Linear Regression (LR), COVID-19, Prediction, Forecast, VIRUS, Bangladesh, etc

Publication Details:

Unique Identification Number : IJTSRD38068

Published In : Volume-5 | Issue-1, December 2020

Page Number(s) : 829-835

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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