COVID-19 Insightful Data Visualization and Forecasting Using Elasticsearch

Abstract

The advent of big data analytics tools in recent years has sparked interest from different communities to take advantage of data and plan the right strategy for their organization. Data is meaningful only if it is processed correctly and transformed into some useful information. This information is very helpful in planning strategies and various decision-making tasks. COVID-19 is one such pandemic that has devastated the world on a large scale. Every country is trying to make the best of the strategies to fight against this pandemic. In this chapter, the analysis is performed on the global COVID-19 available data to get some meaningful insights about the disease. Elasticsearch’s Kibana dashboard has been used in this work which will be acting as a single viewpoint to get the insight of different statistics based on multiple key factors such as country-wise statistics, death ratio, gender distribution, infection rate, etc. This data will be used to forecast multiple statistics for different countries. It can be easily deployed over the web so that relevant authorities can utilize it as per their requirement. A machine learning approach is also used in this study to predict future trends of COVID-19 pandemic. This work will provide a good visualization over novel coronavirus and help us in planning better strategies to deal with this pandemic.