Another term for COVID-19.
Published in Chapter:
COVID-19 Data Forecasting and Spread Visualization Using ML
Manisha Bhende (Dr. D. Y. Patil Institute of Engineering, Management, and Research, Akurdi, India), Shubhangi Mapare (Dr. D. Y. Patil Institute of Engineering, Management, and Research, Akurdi, India), Divya Rokde (Dr. D. Y. Patil Institute of Engineering, Management, and Research, Akurdi, India), Kalyani Pramod Chaudhary (Dr. D. Y. Patil Institute of Engineering, Management, and Research, Akurdi, India), and Snehal Vikas Mali (Dr. D. Y. Patil Institute of Engineering, Management, and Research, Akurdi, India)
Copyright: © 2022
|Pages: 20
DOI: 10.4018/978-1-7998-7709-7.ch009
Abstract
The COVID-19 global pandemic has affected everyone's day-to-day life. The COVID spread data is increasing rapidly which needs to be visualized in some format. The statistical data includes infected, recovered, and the death count which is visualized by various tools. This project presents an interactive dynamic dashboard to display the details about the COVID-19 patient reports, scheduled reports, timely reports, geographical reports including state-wise, district wise. It should have options to display the metrics using charts, graphs, etc. Application features include registration, download report in multiple formats, email the report, schedule a report, share a report. Users can check for Epass availability; the decision will be taken by checking the covid-affected counts on the source and destination. Patient details will be stored in the cloud. The model includes a prediction of upcoming covid-affected count using ML.