Epidemic Analytics for Decision Supports in COVID19 Crisis

Chapter 1. Research and Technology Development Achievements During the COVID-19 Pandemic - An Overview.- Chapter 2. Analysis of the COVID-19 Pandemic Behavior based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models.- Chapter 3. The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak.- Chapter 4. Probabilistic Forecasting Model for the COVID-19 Pandemic based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System.- Chapter 5. The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID-19 Pandemic.- Chapter 6. A Quantum Field formulation for a pandemic propagation.

Joao Alexandre Lobo Marques is an Associate Professor, Head of Department and Research Coordinator at the University of Saint Joseph, Macau, SAR China and Visiting Associate Professor at the Shenzhen Institutes of Advanced Technology/Chinese Academy of Sciences - SIAT/CAS. Post Doctorate and Honorary Visiting Fellow from the University of Leicester-UK. Founder of the Laboratory of Applied Neurosciences LAN/USJ. Received his PhD in Biomedical Engineering at UFC/Brazil in 2010 and the MSc degree in Engineering of Teleinformatics from UFC in 2007. He is also a Board Member of the XS Innovation Group in Brazil. Worked as a Researcher and Innovation Director at Centrovita Medical Center (Angola). Developed a solid international career with academic positions and relevant research projects developed in Asia (China), Europe (England, Germany and Portugal), Africa (Angola), and America (United States and Brazil). More than 70 papers published in high impact international journals and relevant conferences. His research interests include heart signal processing (EKG, HRV, QTV, EEG and others), digital image processing, biofeedback, applied neurosciences, telemedicine, computational and artificial intelligence, machine learning and deep learning, mathematical transforms, nonlinear analysis of biological time series.

Simon James Fong graduated from La Trobe University in Australia, with a First Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor in the Computer and Information Science Department of the University of Macau. He is also one of the founding members of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to joining the University of Macau, he worked as an Assistant Professor in the School of Computer Engineering at Nanyang Technological University in Singapore. Before his academic