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Temporal network epidemiology

Masuda, Naoki.

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Temporal network epidemiology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Temporal network epidemiology/ edited by Naoki Masuda, Petter Holme.
other author:	Masuda, Naoki.
Published:	Singapore :Springer Singapore : : 2017.,
Description:	vi, 342 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Epidemiology - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-5287-3
ISBN:	9789811052873

Temporal network epidemiology
Temporal network epidemiology[electronic resource] /edited by Naoki Masuda, Petter Holme. - Singapore :Springer Singapore :2017. - vi, 342 p. :ill., digital ;24 cm. - Theoretical biology,2522-0438. - Theoretical biology..

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.

ISBN: 9789811052873

Standard No.: 10.1007/978-981-10-5287-3doiSubjects--Topical Terms:

660489
Epidemiology
--Mathematical models.

LC Class. No.: QH324.2 / .T46 2017

Dewey Class. No.: 570.113

Temporal network epidemiology
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300 $a vi, 342 p. : $b ill., digital ; $c 24 cm.
490 1 $a Theoretical biology, $x 2522-0438
520 $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.
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650 2 4 $a Mathematical and Computational Biology. $3 1566274
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