Coverart for item
The Resource Charting the Next Pandemic : Modeling Infectious Disease Spreading in the Data Science Age, by Ana Pastore y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani, (electronic resource)

Charting the Next Pandemic : Modeling Infectious Disease Spreading in the Data Science Age, by Ana Pastore y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani, (electronic resource)

Label
Charting the Next Pandemic : Modeling Infectious Disease Spreading in the Data Science Age
Title
Charting the Next Pandemic
Title remainder
Modeling Infectious Disease Spreading in the Data Science Age
Statement of responsibility
by Ana Pastore y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani
Creator
Contributor
Author
Subject
Language
eng
Summary
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 the decision-making process. 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 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. 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 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. 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. 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. The text will appeal to a wide range of audiences with diverse technical backgrounds.--
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Pastore y Piontti, Ana
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Perra, Nicola
  • Rossi, Luca
  • Samay, Nicole
  • Vespignani, Alessandro
Series statement
  • Springer eBooks
  • Springer eBooks.
http://library.link/vocab/subjectName
  • Social sciences—Data processing
  • Social sciences—Computer programs
  • Emerging infectious diseases
  • Epidemiology
Label
Charting the Next Pandemic : Modeling Infectious Disease Spreading in the Data Science Age, by Ana Pastore y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1007/978-3-319-93290-3
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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"
Control code
978-3-319-93290-3
Dimensions
unknown
Extent
1 online resource (XVI, 209 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319932903
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
181 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1076245320
Label
Charting the Next Pandemic : Modeling Infectious Disease Spreading in the Data Science Age, by Ana Pastore y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1007/978-3-319-93290-3
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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"
Control code
978-3-319-93290-3
Dimensions
unknown
Extent
1 online resource (XVI, 209 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319932903
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
181 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1076245320

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