Associate Professor and Data Scientist, Director, UG Program in Data Analytics, Ageno School of Business, Golden Gate University, San Francisco, California, USA
*Corresponding Author: Siamak Zadeh, Associate Professor and Data Scientist, Director, UG Program in Data Analytics, Ageno School of Business, Golden Gate University, San Francisco, California, USA.
Received: April 09, 2020; Published: May 11, 2020
This article aims to review the role and utility of big data and artificial intelligence in tracking and managing the public health crisis associated with the novel coronavirus (COVID-19) pandemic. The article reviews previous use cases where big data and AI have played a role and added value to monitoring and managing public health crises, outbreaks, and pandemics. The article discusses the benefits as well as the limitations and risks inherent in using big data and AI in managing public health crisis efforts. The article does not provide a critical review of the methodologies associated with the use of big data and AI for public health crisis management. It is hoped that the review provided here may facilitate and lead to future research to study and measure the efficacy of big data and AI in managing public health crises.
Keywords: Artificial Intelligence; Coronavirus (COVID-19); Pandemic
Citation: Siamak Zadeh. “The Role and Utility of Big Data and Artificial Intelligence in the Coronavirus (COVID-19) Pandemic Tracking and Containment”.Acta Scientific Pharmaceutical Sciences 4.6 (2020): 06-12.
Copyright: © 2020 Siamak Zadeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.