Description This book provides an introduction to the computational and complex systems Modeling of the global Spreading of Infectious diseases.
Bruno Gonçalves is a Moore-Sloan Fellow at NYU\'s Center.
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.
Gomes is a researcher on Infectious Disease Modeling and surveillance at Fundaçăo Oswaldo Cruz\'s Scientific Computing Program (Fiocruz, PROCC).
C.
Marcelo F.
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.
With Corrado Gioannini worked for several years in the private sector, in IT companies, developing his skills in software development and management.
Vespignani is focusing his research activity in Modeling diffusion phenomena in complex systems, including data-driven computational approaches to Infectious diseases spread.
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.
Alessandro Vespignani is the Sternberg Distinguished Professor 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.
Nicole Samay is a Senior Graphic Designer in the Network Science Institute at Northeastern University in Boston.
Luca\'s research focuses on the mathematical and computational Modeling of contagion processes in structured populations, in particular human transmittable Infectious diseases.
Luca Rossi is a Senior Researcher at the Institute for Scientific Interchange in Torino, Italy.
His research interests revolve around the study of human dynamics, digital epidemiology, and network science.
Nicola Perra is a Senior Lecturer in network Science at the University of Greenwich, UK.
Her research focuses on the characterization and Modeling of the spread of Infectious diseases, by integrating methods of complex systems with statistical physics approaches.
About the Author 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.
The text will appeal to a wide range of audiences with diverse technical backgrounds.
This book emphasizes the importance of a global perspective in the assessment of emerging health threats and captures the possible evolution of the Next pandemic, while at the same time providing the intelligence needed to fight it.
Charting the Next Pandemic puts the reader in the position to explore different pandemic scenarios and to understand the potential impact of available containment and prevention strategies.
The visual atlas contained allows the reader to identify commonalities and patterns in emerging health threats, as well as explore the wide range of models and Data that can be used by policy makers to anticipate trends, evaluate risks and eventually manage future events.
Models can be used to transform Data to knowledge that is intuitively communicated by powerful infographics and for this reason, the second part of the book focuses on a set of charts that illustrate possible scenarios of future pandemics.
The first part of the book guides the reader through sophisticated complex systems Modeling techniques with a non-technical and visual approach, explaining and illustrating the construction of the modern framework used to project the spread of pandemics and epidemics.
Recent advances in computational Science and the increasing availability of real-world Data are making it possible to develop realistic scenarios and real-time forecasts of the global Spreading of emerging health threats.
The latest developments in the area of contagion processes Modeling are discussed, and readers are exposed to real world examples of data-model integration impacting the decision-making process.
Description This book provides an introduction to the computational and complex systems Modeling of the global Spreading of Infectious diseases
