Coronavirus Pandemic (COVID-19): A Survey of Analysis, Modeling and Recommendations

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, metrological effects, social media analytics, image processing and business and economy, analysis and modeling. It will serve as a leading source for the followings: 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.

An Analysis and Forecasting of Covid-19 Spread in Tamil Nadu based on Additive Model for Non-Linear Pattern

“…Many experiments have been carried out from the point of view of regression using forecasting models such as ARIMA [2][3] and other statistical techniques [8]. These are typical methods that provide fast predictions and forecasts on time series results [1]. Based on their broad reception in the research community and fast execution, those techniques have been chosen.…”