Coronavirus Pandemic (COVID-19): A Survey of Analysis, Modeling and Recommendations
Researchpedia Journal of Computing, Volume 2, Issue 1, Article 7, Pages 65-80, December 2021
Tehmina Amjad1, Ali Daud2, Malik Khizar Hayat3, Muhammad Tanvir Afzal4, Hussain Dawood5
1Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan
2Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
3Department of Computer Science, Quaid-i-Azam University, Islamabad, Pakistan
4Capital University of Science and Technology (CUST), Islamabad, Pakistan
5Department of Computer and Network Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia
Corresponding author: Tehmina Amjad (e-mail: tehminaamjad@iiu.edu.pk)
ABSTRACT COVID-19 has created anxiety not only in individuals but also in health organizations, and countries worldwide. Not a single industry is left un-influenced, and loss is being estimated in billions of dollars. The widespread of this pandemic disease has challenged researchers all over the world. Some of the researchers are working to invent its cure while, others are applying computing technologies to stop its spread, by analyzing and identifying patterns for prediction and forecasting. This is by no doubt the hottest area of research for the last 100 years. This survey has targeted the research published in computing sub-domains to combat the pandemic. The survey has clustered the scientific efforts into logical groups: surveillance, meteorological effects, social media analytics, image processing and business and economy, analysis and modeling. It will serve as a leading source for the following: researchers who want to identify what has been achieved in different computing sub-domains, those who need fresh authenticated datasets openly accessible for different research contexts and what are future directions in this area of research. The findings of analysis and modeling can be also useful for government agencies who want to set priorities and formulate policies.
Keywords Analysis, Business and Economy, Coronavirus Pandemic (COVID-19), Image Processing, Meteorological Effects, Modeling, Recommendations, Surveillance, Social Media Analytics