Data Visualization of Covid-19 & Comparative Study on South Asian Countries

Abstract

The Coronavirus had disrupted our day-to-day lives when it was first reported back in 31 December 2019. Lifestyle to economy, everything tumbled for most countries. It has been a long time since then and countries have taken measures to combat it and now almost all countries are restoring their economy and people’s lifestyles that were hampered due to the lockdowns. Developed countries with their better medical facilities did struggle to control the outbreak of the virus. In South Asia, where countries, being mostly under-developed or developing, took some massive hits from the pandemic that lasted for more than 2 years. In this study, we do a comparative study on the South Asian countries to find out what were their pandemic conditions in terms of confirmed cases, recovered cases and death cases. Also analyze which countries took appropriate measures to do comparatively better to handle the pandemic from the rest. Time series and prediction model will be used to do the comparative analysis. We used a 4-months phase analysis along with other plots and graphs to analyze the COVID-19 spread for the countries and for predicting the curve we used Tensor Flow. The timeframe we chose to analyze is between 23-01-2020 to 08-03-2021. Developing countries can get the idea from this article how to tackle a pandemic or epidemic in the future.