Special issue on the use of data analytics in responses to COVID-19

Data analytics have played a crucial role in our understanding of COVID-19 transmission and have supported decision making in mitigating the pandemic.

This special issue will feature original, innovative research that implements data-driven approaches to expand our knowledge of the causes and consequences of the virus. We welcome studies on COVID-19-related data, including acquisition, statistical modelling, epidemic dynamics, resurgence and mutation, non-pharmaceutical intervention and mitigation, psychological and emotional influence, and socioeconomic impact.

This special issue is supported by the Big Data and Data Quality Research Branch of the Chinese Society of Optimization, Overall Planning and Economic Mathematics.

Topics covered:

These include, but are not limited to:

• Risk assessment of COVID-19
• Epidemiological modelling of COVID-19
• Data analytics and machine learning with COVID-19 data
• Data-driven approaches for non-pharmaceutical interventions against COVID-19
• Decision-making support and policy evaluation
• COVID-19 systems and services

Important deadlines:

• Submission deadline: 31 May 2022

Submission instructions:

Please read the Guide for Authors before submitting. All articles should be submitted online; please select SI: The use of data analytics in responses to COVID-19 on submission. For further enquiries, please email dsm@xjtu.edu.cn and the editing team will respond promptly.

Guest Editors:

• Xin Lu, National University of Defense Technology, China. Email: xin_lyu@sina.com
• Tao Zhou, University of Electronic Science and Technology of China. Email: zhutou@ustc.edu
• Jianguo Liu, Shanghai University of Finance and Economics, China. Email: liujg004@ustc.edu.cn