Ana Pastore y Piontti is an Associate Research Scientist in the Laboratory for the Modeling of Biological and Socio-technical Systems (MOBS Lab) at Northeastern University in Boston, USA. Her research focuses on the characterization and modeling of the spread of infectious diseases, by integrating methods of complex systems with statistical physics approaches.Nicola Perra is a Senior Lecturer in network science at the University of Greenwich, UK. His research interests revolve around the study of human dynamics, digital epidemiology, and network science.Luca Rossi is a Senior Researcher at the Institute for Scientific Interchange in Torino, Italy. Luca’s research focuses on the mathematical and computational modeling of contagion processes in structured populations, in particular human transmittable infectious diseases.Nicole Samay is a Senior Graphic Designer in the NetworkScience Institute at Northeastern University in Boston. She works with researchers to develop and adapt data visualizations, with a particular focus on information design and spreading processes.Alessandro Vespignani is the Sternberg Distinguished Professor at Northeastern University in Boston. He is Fellow of the American Physical Society, member of the Academy of Europe, and Fellow of the Institute for Quantitative Social Sciences at Harvard University. Vespignani is focusing his research activity in modeling diffusion phenomena in complex systems, including data-driven computational approaches to infectious diseases spread.WithCorrado Gioannini worked for several years in the private sector, in IT companies, developing his skills in software development and management. He is now a research leader at the Complex Systems and Networks group at ISI Foundation, where he coordinates the development of the GLEAMviz Simulator software framework.Marcelo F. C. Gomes is a researcher on infectious disease modeling and surveillance at Fundação Oswaldo Cruz’s Scientific Computing Program (Fiocruz, PROCC). His main research focus is on combining reported cases from public health agencies and human mobility for the development of risk analysis and nowcasting tools.Bruno Gonçalves is a Moore-Sloan Fellow at NYU’s Center for Data Science. With a background in Physics and Computer Science, his career has revolved around the use of datasets from sources as diverse as Apache web logs, Wikipedia edits, Twitter posts, Epidemiological reports, and census data to analyze and model Human Behavior and Mobility. More recently he has focused on the application of machine learning and neural network techniques to analyze large geolocated datasets.

“This book is rather informative about what it takes to appropriately model the rise and spread of an infectious disease. It is useful in highlighting what types of data are needed to model these complex disease processes and how to properly incorporate these variables into model building.” (Eric S. Kontowicz, Doody's Book Reviews, March, 22 , 2019)​

• Part I: How to Model Pandemics.- Infectious Disease Spreading: From Data to Models.- Data, Data, and More Data.- Data Model Integration: The Global Epidemic and Mobility.- From Data to Knowledge: How Models Can Be Used.- The Numerical Forecast of Pandemic Spreading: The Case Study of the 2009 A/H1N1 PDM.- Computational Modeling of "Disease X".

Ana Pastore y Piontti is an Associate Research Scientist in the Laboratory for the Modeling of Biological and Socio-technical Systems (MOBS Lab) at Northeastern University in Boston, USA. Her research focuses on the characterization and modeling of the spread of infectious diseases, by integrating methods of complex systems with statistical physics approaches.Nicola Perra is a Senior Lecturer in network science at the University of Greenwich, UK. His research interests revolve around the study of human dynamics, digital epidemiology, and network science.Luca Rossi is a Senior Researcher at the Institute for Scientific Interchange in Torino, Italy. Luca’s research focuses on the mathematical and computational modeling of contagion processes in structured populations, in particular human transmittable infectious diseases.Nicole Samay is a Senior Graphic Designer in the NetworkScience Institute at Northeastern University in Boston. She works with researchers to develop and adapt data visualizations, with a particular focus on information design and spreading processes.Alessandro Vespignani is the Sternberg Distinguished Professor at Northeastern University in Boston. He is Fellow of the American Physical Society, member of the Academy of Europe, and Fellow of the Institute for Quantitative Social Sciences at Harvard University. Vespignani is focusing his research activity in modeling diffusion phenomena in complex systems, including data-driven computational approaches to infectious diseases spread.WithCorrado Gioannini worked for several years in the private sector, in IT companies, developing his skills in software development and management. He is now a research leader at the Complex Systems and Networks group at ISI Foundation, where he coordinates the development of the GLEAMviz Simulator software framework.Marcelo F. C. Gomes is a researcher on infectious disease modeling and surveillance at Fundação Oswaldo Cruz’s Scientific Computing Program (Fiocruz, PROCC). His main research focus is on combining reported cases from public health agencies and human mobility for the development of risk analysis and nowcasting tools.Bruno Gonçalves is a Moore-Sloan Fellow at NYU’s Center for Data Science. With a background in Physics and Computer Science, his career has revolved around the use of datasets from sources as diverse as Apache web logs, Wikipedia edits, Twitter posts, Epidemiological reports, and census data to analyze and model Human Behavior and Mobility. More recently he has focused on the application of machine learning and neural network techniques to analyze large geolocated datasets.

“This book is rather informative about what it takes to appropriately model the rise and spread of an infectious disease. It is useful in highlighting what types of data are needed to model these complex disease processes and how to properly incorporate these variables into model building.” (Eric S. Kontowicz, Doody's Book Reviews, March, 22 , 2019)​

• Part I: How to Model Pandemics.- Infectious Disease Spreading: From Data to Models.- Data, Data, and More Data.- Data Model Integration: The Global Epidemic and Mobility.- From Data to Knowledge: How Models Can Be Used.- The Numerical Forecast of Pandemic Spreading: The Case Study of the 2009 A/H1N1 PDM.- Computational Modeling of "Disease X".