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Temporal Network Epidemiology / edited by Naoki Masuda, Petter Holme
(Theoretical Biology. ISSN:25220446)
版 | 1st ed. 2017. |
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出版者 | (Singapore : Springer Nature Singapore : Imprint: Springer) |
出版年 | 2017 |
本文言語 | 英語 |
大きさ | VI, 342 p. 121 illus., 83 illus. in color : online resource |
著者標目 | Masuda, Naoki editor Holme, Petter editor SpringerLink (Online service) |
件 名 | LCSH:Biomathematics LCSH:Bioinformatics LCSH:Epidemiology LCSH:Medical microbiology FREE:Mathematical and Computational Biology FREE:Computational and Systems Biology FREE:Epidemiology FREE:Medical Microbiology |
一般注記 | 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 HTTP:URL=https://doi.org/10.1007/978-981-10-5287-3 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9789811052873 |
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EB00230361 |
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データ種別 | 電子ブック |
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分 類 | LCC:QH323.5 LCC:QH324.2-324.25 DC23:570.285 |
書誌ID | 4000119313 |
ISBN | 9789811052873 |
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