Using Data Science to Understand the Coronavirus Pandemic

Call for papers for: Information Discovery and Delivery

Submission deadline: November 15th 2020

Special issue editors

Dr. Xin Tian, Kennesaw State University, [email protected]

Dr. Yunfei Xing, Central China Normal University, [email protected]  

Dr. Wu He, Old Dominion University, [email protected]

Overview of Special Issue

The World Health Organization declared a global pandemic as the coronavirus rapidly spreads across the world.  As of March 6, 2020, the global death toll from the coronavirus pandemic has topped 70,000. In light of the emergence and spread of the coronavirus disease 2019 (COVID-19) across the world, Information Discovery and Delivery is issuing a call for papers that address the spread of this disease from the data and information science perspective. We are particularly interested in papers that explore how to track, model, understand and predict the spread of COVID-19 through various data science and visualization methods. The goal is to provide a platform for sharing timely research that can be used to help societies address this unprecedented challenge.

Topics of interest include, but are not limited to:

  • Modeling and visualization of various online data to understand the impact of the coronavirus outbreak
  • Modelling and Forecasting the coronavirus spread and transmission
  • Big data in COVID-19 analysis
  • Machine learning for COVID-19 tracking and prediction models 
  • Social network analysis for contact tracing 
  • Simulation of coronavirus outbreak events
  • Sentiment Analysis related to the coronavirus outbreak
  • Predictive Analytics in COVID-19 risk profiling
  • Knowledge representation in COVID-19 analysis
  • Other topics related to the tracking. modeling and understanding of the coronavirus spread and transmission

Submission details

Submissions must comply with the journal author guidelines which are here:https://www.emeraldgrouppublishing.com/journal/idd#author-guidelines

Submissions must be made through ScholarOne Manuscripts, the online submission, and peer review system. Registration and access is available at mc.manuscriptcentral.com/idd 

Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organizations, knowledge managers in media, health care and government, as well as librarians. IDD is a member of and subscribes to the principles of the Committee on Publication Ethics.