CMTSCD-COVID 2020 : Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19

This Special Section aims to invite original research papers that report the latest advances of medical images based health informatics for COVID-19. Submissions should clarify the substantive improvements on work that has already been published, accepted for publication, or submitted in parallel to other conferences or journals.

The topics of interest include, but are not limited to computer modelling for COVID-19 and other infectious diseases:

• Early prediction and early detection using AI and advanced signal processing methods;
• Genotype, phenotype, and pathogenesis;
• Supervised or semi-supervised learning for classification & segmentation;
• Diagnosis using biomarkers and imaging-based data-driven methods;
• Tracking and prediction of spread speed of infected territories and areas;
• Transfer learning methods for diagnosis and segmentation;
• Explainable AI-based prediction, segmentation, and diagnosis;
• Medical and healthcare equipment/resources supply chain management;
• Wearable sensors or IoT based public health support, patient behavior and emotion monitoring;
• VR/AR computer-aided diagnosis system;
• Design and development of vaccine & targeted drug;
• Epidemic dynamics prediction and forecast;
• Computational prediction of protein structure associated with virus;
• Epidemic prevention and control; 
• Socio-economic impacts of COVID-19 interventions;
• Evaluating human responses and social distancing during the outbreak;
• Survival and risk of recurrence estimation;
• 2D and 3D visualization;
• Recovery prediction in rehabilitation;
• Potential therapeutics;
• Public health system or strategies;
• Psychological stress and intervention during outbreak of COVID-19