Lessons from COVID: The Use of Leveraging Data Science and Effective Preparation for the Next Pandemic

Abstract

The present paper discusses how to learn from COVID-19 outbreak can help us take a proactive stance toward epidemic readiness by using state of the art developments in data science and artificial intelligence. It argues the importance of using an integrated data approach along with deployment of machine learning algorithms to facilitate the timely identification, diagnosis and treatment of epidemic diseases. Finally, key challenges such as data security, data privacy and data quality are addressed.