ABSTRACT
In December 2019, a novel coronavirus (COVID-19) originating from the pneumonia cases of Wuhan, Hubei, China became news. The effect of this virus has crossed the boundaries of China to become a global threat. By analyzing the World Health Organization data, it can be shown that the growth rate of COVID-19 cases is not uniform across all countries. There is no detailed analysis available on the impact of the socioeconomic and environmental factors of the growth of COVID-19. In this chapter, three attempts have been made to analyze these factors. First, the growth rate of the virus is calculated and has been divided into three categories: low, medium, and high. Second, the relevant socioeconomic and environmental factors are identified that can be considered the most influential parameters in the growth of the virus. Third, feature selection algorithms are used to identify the influence of each of these factors on the growth rate. Finally, an overview of early non-invasive COVID-19 detection using the speech data of patients is discussed.
