Introduction: Information has the power to protect against unexpected events and control any crisis such as the COVID-19 pandemic Since COVID-19 has already rapidly spread all over the world, only technology-driven data management can provide accurate information to manage the crisis This study aims to explore the potential of big data technologies for controlling COVID-19 transmission and managing it effectively Methods: A systematic review guided by PRISMA guidelines has been performed to obtain the key elements Results: This study identified the thirty-two most relevant documents for qualitative analysis This study also reveals 10 possible sources and 8 key applications of big data for analyzing the virus infection trend, transmission pattern, virus association, and differences of genetic modifications It also explores several limitations of big data usage including unethical use, privacy, and exploitative use of data Conclusions: The findings of the study will provide new insight and help policymakers and administrators to develop data-driven initiatives to tackle and manage the COVID-19 crisis [ABSTRACT FROM AUTHOR] Copyright of Archives of Medical Science is the property of Termedia Publishing House and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )
Big data driven COVID-19 pandemic crisis management: potential approach for global health