Data Visualization to solve COVID-19
Abstract
This electronic document describes how data visualization can be used to solve problems related to Coronavirus using graphical representation of information and data. This article mentions several well-known methods to contain the coronavirus pandemic and discusses how these methods can be effectively implemented across the country. The focus has been given more to the implementation in local level than a country wide implementation. The article describes a comprehensive way to predict the next hotspot in a district wise level using projection graphs. The article also describes The Delhi model using data projection and analysis. The conclusions derived from theses analyses can be implemented effectively in district wise level to flatten the Coronavirus curve and develop herd immunity in category wise zones.
- Publication:
-
Journal of Physics Conference Series
- Pub Date:
- February 2021
- DOI:
- 10.1088/1742-6596/1797/1/012016
- Bibcode:
- 2021JPhCS1797a2016R