Epidemic Analysis of COVID-19 Using Machine Learning Techniques

Corona virus disease (COVID-19) has impacted the entire world and researchers across the globe are working day and night to identify and predict the patterns related to it. Hundreds of clinical trials are underway to generate the possible cure of the disease. Devastating and uncontrolled worldwide spread of COVID-19 triggered unprecedented global lock-downs and massive burden on healthcare systems. WHO World Health Organization has recommended immediate research study of the existing data to understand the care and measures required for COVID-19. Machine Learning (ML) and Artificial Intelligence (AI) can play a key role in identifying and predicting the COVID-19 patterns. ML approaches have been used in the past as well for the formulation of pandemics e.g., Zika, Ebola, norovirus, cholera, H1N1 influenza. Machine learning analysis of COVID-19 patients can help the identification and prediction of people who are susceptible to COVID-19 infection and who are resistant to it. In the present chapter, we had analyzed and listed the use of various AI with ML models to predict the pattern of the disease based on various parameters. We had also analyzed two real time COVID-19 datasets based on geographic distribution of countries across the globe to understand the outbreak of corona virus.