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171103 ||| eng |
| 020 |
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|a 9789811052873
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| 100 |
1 |
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|a Masuda, Naoki
|e [editor]
|
| 245 |
0 |
0 |
|a Temporal Network Epidemiology
|h Elektronische Ressource
|c edited by Naoki Masuda, Petter Holme
|
| 250 |
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|a 1st ed. 2017
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| 260 |
|
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|a Singapore
|b Springer Nature Singapore
|c 2017, 2017
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| 300 |
|
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|a VI, 342 p. 121 illus., 83 illus. in color
|b online resource
|
| 653 |
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|a Bioinformatics
|
| 653 |
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|a Computational and Systems Biology
|
| 653 |
|
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|a Mathematical and Computational Biology
|
| 653 |
|
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|a Biomathematics
|
| 653 |
|
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|a Epidemiology
|
| 653 |
|
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|a Medical Microbiology
|
| 653 |
|
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|a Medical microbiology
|
| 700 |
1 |
|
|a Holme, Petter
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Theoretical Biology
|
| 028 |
5 |
0 |
|a 10.1007/978-981-10-5287-3
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-10-5287-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 570.285
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| 520 |
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|a 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
|