Social and Mental Well-Being-COVID-19 After Effects Survey and Data Analysis

Abstract

COVID-19 pandemic affected the entire globe in 2019. This pandemic is considered as the first one with its defense more than pharmaceutical measures such as: Personal hygiene (hand sanitization, wearing masks) and social distancing. This pandemic has affected people with different factors such as: anxiety, emotions, social life, mental and physical health, and economic crisis. These factors helped this pandemic to turn up with digital solutions for its prevention and prediction estimation. These prediction techniques can analyze the previous data set of this pandemic and provide interesting insights about such a situation to occur in future along with its prevention measures. In this article, we tried to systematize various research activities-using machine learning, data science, and data visualization to extract meaningful information about COVID-19. Data collection has been done by conducting open surveys on different platforms such as: social media, university survey as well as community survey. Based on the collected data, analysis has been done on the emotional, social and mental health of people in order to provide future research directions and collective fight against such pandemics.