COVID-19: Update, Forecast and Assistant - An Interactive Web Portal to Provide Real-Time Information and Forecast COVID-19 Cases in Bangladesh

Abstract

Since December 2019, Novel coronavirus disease has been shown an extensive impact on social, mental, personal, and economic fields throughout the world. In this pandemic situation, people are worried and interested to know what is going on in the upcoming days. Therefore, it is very important to provide relevant information about how many people are affected and will infect in near future. Moreover, they need to know how to spread different symptoms and prevention steps of this disease. Hence, we developed an informative and prediction-based web portal named COVID-19: Update, Forecast and Assistant which provides real-time information on COVID-19 cases in Bangladesh and worldwide. In this model, we also provide a machine learning-based short-term forecasting web tool that is used to predict infectious and fatality cases in an upcoming couple of days. Also, we provide precaution steps against coronavirus, emergency contacts of testing, and treatment centers for individuals.Index Terms-COVID-19, web portal, infectious cases, fatalities, forecasting

Nonstationary time series forecasting using optimized-EVDHM-ARIMA for COVID-19

“…Andreas et al ( 2020 ) proposed an improved mathematical forecasting framework based on ML and cloud computing that uses real-time data to accurately predict the progress of the curve. Satu et al ( 2021 ) developed a web portal that provides real-time information on COVID-19 cases in Bangladesh and worldwide, including an ML-based short-term forecasting tool. Other researchers, such as Darapaneni et al ( 2020 ) and Kurniawan and Kurniawan ( 2021 ), have also presented models for forecasting COVID-19 prevalence in Indonesia and India, respectively.…”