Year: 2021
Type: editorial
Abstract: The eight articles in this special section aim to provide a forum for AI and data science research in understanding, predicting, forecasting, and modeling the COVID-19 crisis and potential future outbreaks. The accepted papers present diverse perspectives on understanding and combating the COVID-19 pandemic using the AI toolbox, including how to extract knowledge about COVID-19 from scientific publications, model and control the pandemic’s spread, and understand the diffusion of false information throughout online social media.
Source: IEEE Transactions on Big Data
Authors: Yuxiao Dong, Marinka Zitnik
Institutions: Meta (United States), Harvard University
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W3135749239