Temporal Network Epidemiology

  • Naoki Masuda
  • Petter Holme
Part of the Theoretical Biology book series (THBIO)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Naoki Masuda, Petter Holme
    Pages 1-16
  3. Thomas E. Gorochowski, Thomas O. Richardson
    Pages 17-42
  4. Aaron Bramson, Kevin Hoefman, Milan van den Heuvel, Benjamin Vandermarliere, Koen Schoors
    Pages 57-104
  5. Ka Yin Leung, Mirjam Kretzschmar, Odo Diekmann
    Pages 105-128
  6. Leo Speidel, Konstantin Klemm, Víctor M. Eguíluz, Naoki Masuda
    Pages 161-177
  7. Márton Karsai, Nicola Perra
    Pages 179-197
  8. Vitaly Belik, André Karch, Philipp Hövel, Rafael Mikolajczyk
    Pages 199-214
  9. Frederik Schirdewahn, Vittoria Colizza, Hartmut H. K. Lentz, Andreas Koher, Vitaly Belik, Philipp Hövel
    Pages 215-240
  10. Masaki Ogura, Victor M. Preciado
    Pages 241-266
  11. István Z. Kiss, Luc Berthouze, Joel C. Miller, Péter L. Simon
    Pages 267-289
  12. Jorge M. Pacheco, Sven Van Segbroeck, Francisco C. Santos
    Pages 291-316

About this book

Introduction

This book covers recent developments in epidemic process models and related data on temporally varying networks. It is widely recognized that contact networks are indispensable for describing, understanding, and intervening to stop the spread of infectious diseases in human and animal populations; “network epidemiology” is an umbrella term to describe this research field.

More recently, contact networks have been recognized as being highly dynamic. This observation, also supported by an increasing amount of new data, has led to research on temporal networks, a rapidly growing area. Changes in network structure are often informed by epidemic (or other) dynamics, in which case they are referred to as adaptive networks.

This volume gathers contributions by prominent authors working in temporal and adaptive network epidemiology, a field essential to understanding infectious diseases in real society.

Keywords

Temporal networks Adaptive networks Epidemic processes Compartmental models Big data Outbreak Infectious disease Network epidemiology

Editors and affiliations

  • Naoki Masuda
    • 1
  • Petter Holme
    • 2
  1. 1.Department of Engineering MathematicsUniversity of BristolBristolUnited Kingdom
  2. 2.Institute of Innovative ResearchTokyo Institute of TechnologyYokohamaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-5287-3
  • Copyright Information Springer Nature Singapore Pte Ltd. 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-981-10-5286-6
  • Online ISBN 978-981-10-5287-3
  • Series Print ISSN 2522-0438
  • Series Online ISSN 2522-0446
  • About this book