Applications of Data Science and Machine Learning for Combating COVID-19

Global research efforts have increased dramatically as a result of the COVID-19 epidemic, with data science, machine learning, and deep learning techniques emerging as essential weapons in the fight against this crisis. In order to clarify the current research trends in the application of these cutting-edge technologies to battle COVID-19, we conduct an extensive scientometric analysis in this research paper that spans from January 2020 to April 2020. Our analysis not only identifies the main lines of inquiry, but also explores their broad ramifications and provides perceptive glimmers into the changing COVID-19 research scene. We identify the emerging topics, approaches, and applications that have proven essential in combating the pandemic by carefully examining a variety of scholarly articles. This report highlights the varied contributions of data science and machine learning to this global health problem, ranging from early detection models to vaccine development approaches. Additionally, our work goes beyond the current environment to set the way for additional research projects. We put up fresh ideas that make use of the strength of data-driven strategies to address the COVID-19’s enduring problems. This research paper offers a roadmap for researchers, policymakers, and practitioners to use data science and machine learning in their ongoing efforts to combat COVID-19 and get ready for Upcoming pandemics by combining scientific rigor and computational innovation.