COVID-19: Update, Forecast and Assistant - An Interactive Web Portal to Provide Real-Time Information and Forecast COVID-19 Cases in Bangladesh
| Autor: | M. Shamim Kaiser, Maksud Alam Rony, Koushik Chandra Howlader, Ahmedur Rahman Shovon, Md. Shahriare Satu, Md. Khalilur Rahman, Md. Jane Alam Adnan |
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| Rok vydání: | 2021 |
| Předmět: |
Sustainable development
Coronavirus disease 2019 (COVID-19) Computer science 0208 environmental biotechnology 02 engineering and technology medicine.disease_cause Data science Web tool 020801 environmental engineering Need to know Pandemic 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Real-time data Relevant information Coronavirus |
| Zdroj: | 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD). |
| DOI: | 10.1109/icict4sd50815.2021.9396786 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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