Charting the Next Pandemic Modeling Infectious Disease Spreading in the Data Science Age /

• Main Authors: Pastore y Piontti, Ana (Author, http://id.loc.gov/vocabulary/relators/aut), Perra, Nicola (http://id.loc.gov/vocabulary/relators/aut), Rossi, Luca (http://id.loc.gov/vocabulary/relators/aut), Samay, Nicole (http://id.loc.gov/vocabulary/relators/aut), Vespignani, Alessandro (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Social sciences-Data processing.; Social sciences-Computer programs.; Infectious diseases.; Sociophysics.; Econophysics.; Epidemiology.; Computational Social Sciences.; Infectious Diseases.; Data-driven Science, Modeling and Theory Building.

This book provides an introduction to the computational and complex systems modeling of the global spreading of infectious diseases. 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 t...

Table of Contents:

• 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".