Disease evolution : models, concepts, and data analyses
著者
書誌事項
Disease evolution : models, concepts, and data analyses
(DIMACS series in discrete mathematics and theoretical computer science, v. 71)
American Mathematical Society, c2006
大学図書館所蔵 全12件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
Infectious diseases are continuing to threaten humankind. While some diseases have been controlled, new diseases are constantly appearing. Others are now reappearing in forms that are resistant to drug treatments. A capacity for continual readaptation furnishes pathogens with the power to escape our control efforts through evolution. This makes it imperative to understand the complex selection pressures that are shaping and reshaping diseases. Modern models of evolutionary epidemiology provide powerful tools for creating, expressing, and testing such understanding. Bringing together international leaders in the field, this volume offers a panoramic tour of topical developments in understanding the mechanisms of disease evolution. The volume's first part elucidates the general concepts underlying models of disease evolution.Methodological challenges addressed include those posed by spatial structure, stochastic dynamics, disease phases and classes, single- and multi-drug resistance, the heterogeneity of host populations and tissues, and the intricate coupling of disease evolution with between-host and within-host dynamics. The book's second part shows how these methods are utilized for investigating the dynamics and evolution of specific diseases, including HIV/AIDS, tuberculosis, SARS, malaria, and human rhinovirus infections. This volume is particularly suited for introducing young scientists and established researchers with backgrounds in mathematics, computer science, or biology to the current techniques and challenges of mathematical evolutionary epidemiology.
目次
Model infrastructure: The implications of spatial structure within populations to the evolution of parasites by M. Boots, M. Kamo, and A. Sasaki Insights from Price's equation into evolutionary epidemiology by T. Day and S. Gandon Within-host pathogen dynamics: Some ecological and evolutionary consequences of transients, dispersal mode, and within-host spatial heterogeneity by R. D. Holt and M. Barfield Evolutionary and dynamic models of infection with internal host structure by J. K. Kelly Basic methods for modeling the invasion and spread of contagious diseases by W. M. Getz and J. O. Lloyd-Smith Applications to specific diseases: Modeling the invasion and spread of contagious diseases in heterogeneous populations by W. M. Getz, J. O. Lloyd-Smith, P. C. Cross, S. Bar-David, P. L. Johnson, T. C. Porco, and M. S. Sanchez A cophylogenetic perspective on host-pathogen evolution by M. A. Charleston and A. P. Galvani The influence of anti-viral drug therapy on the evolution of HIV-1 pathogens by Z. Feng and L. Rong Do rhinoviruses follow the neutral theory? The role of cross-immunity in maintaining the diversity of the common cold by W. J. Koppelman and F. R. Adler Drug resistance in acute viral infections: Rhinovirus as a case study by A. L. Lloyd and D. Wodarz Dynamics and control of antibiotic resistance in structured metapopulations by D. L. Smith, M. F. Boni, and R. Laxminarayan.
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