Special Issue Call for Papers: Advances in Artificial Intelligence and Mathematical Modelling for Epidemic Diseases and Healthcare Applications

For a PDF of the Call for Papers, please click here.

Call for Papers

As the coronavirus pandemic deepens, there is an urgent need to develop advanced epidemic models that can further improve the efficiency of monitoring, tracking, prevention, control, and treatment. While traditional mathematical modelling methods are considered strong tools to predict the course of COVID-19, healthcare responses are hindered by the lack of standardization, which has prevented universal and coordinated strategies to contain and mitigate the spread of virus. Nonetheless, there are still many challenges, which require researchers in different interdisciplinary areas such as computer science, bioinformatics, epidemiology, and molecular modeling, to work towards cognizing the problem in depth. Artificial intelligence-based models are expected to play a major role in responding to the current and future generations of viruses, which are becoming more complex and much smarter. With the aid of artificial intelligence, there are renewed efforts specifically focusing on machine learning techniques to enhance the computational and data integration capabilities by exploiting many diverse sources of information.

Therefore, the main objective of this special issue is to report on the most recent progress and state-of-the-art investigations on AI-Assisted modeling, including designing, testing, and evaluating, as well as any new standardization initiatives. We specifically seek outstanding work of AI and mathematical modelling that can accurately project the spread of the epidemic, including but not limited to the following topics:

  • Advanced AI solutions for epidemic diseases and healthcare applications.
  • Advanced mathematical modelling solutions for monitoring and predicting the spread of epidemic diseases.
  • Algorithms and tools for epidemic diseases.
  • Algorithms and tools for healthcare applications.
  • Case studies on AI-aided diagnostics and prognostics.
  • Case studies on mathematical models for epidemic monitoring and tracking.
  • Standardized solutions for epidemic diseases and healthcare applications.
  • Standardize the design, testing, evaluation, and explanation of AI algorithms when applied in healthcare.
  • Standardize the design, testing, evaluation, and explanation of mathematical models when applied in healthcare.

Important Dates

Submission deadline: Jan 15, 2021
First notification: March 31, 2021
Acceptance notification: June 15, 2021
Final manuscript due: June 30, 2021
Publication date: Issue 2 of 2021

Guest Editors

Min Chen*
Department of Computer Science and Technology
Huazhong University of Science and Technology
Wuhan, China
Email: minchen@ieee.org

Hamid Gharavi
National Institute of Standards and Technology (NIST)
Gaithersburg, USA
Email: hamid.gharavi@nist.gov

Lin Wang
Union Hospital, Tongji Medical College
Huazhong University of Science and Technology
Wuhan, China
Email: linwang@hust.edu.cn

Victor C. M. Leung
Shenzhen University
Shenzhen, China
Email: vleung@ieee.org

Zhongchun Liu
Renmin Hospital of Wuhan University
Wuhan, China
Email: zcliu6@whu.edu.cn

Iztok Humar
The Intervention Centre
University of Ljubljana
Slovenia
Email: iztok.humar@fe.uni-lj.si

*Corresponding guest editor

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