A Cognitive Analysis of Covid-19 on the Africa Economy Using Linear Regression

The coronavirus outbreak in 2020 has made it difficult to implement macroeconomic initiatives and has affected the economy in all countries in Africa. There has been a lot of concern regarding how to stabilize the economy at least to where it was before the coronavirus outbreak. There was increased governmental allocation to combat the spread and reduce COVID-19's impacts. This study evaluates the economic impacts of the COVID-19 pandemic on some African countries and examines the cognitive analysis as it affects the economy considering layoffs and other revenue losses, as well as a consistent recession and deterioration in the banking and economic sectors. A linear regression method was used in the analysis of this work. Although the pandemic affects every aspect of life and society at large, this study examines how it affects the nation's economy. It was recognized that numerous policy instruments, including those connected to health and social protection, fiscal policy, and financial, industrial, and trade policies, needed to be implemented for the economy to recover properly from the financial loss. The analysis of the data, shows that there was a reduction in the GDP of each country during the Covid-19 pandemic. It is predicted that adopting these technologies may minimize suffering among people and aid in the economy's recovery from recession and bankruptcy.