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Disease Evolution: Models, Concepts, and Data Analyses
 
Edited by: Zhilan Feng Purdue University, West Lafayette, IN
Ulf Dieckmann International Institute for Applied Systems Analysis, Laxenburg, Austria
Simon Levin Princeton University, Princeton, NJ
A co-publication of the AMS and DIMACS
Disease Evolution
eBook ISBN:  978-1-4704-4028-2
Product Code:  DIMACS/71.E
List Price: $102.00
MAA Member Price: $91.80
AMS Member Price: $81.60
Disease Evolution
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Disease Evolution: Models, Concepts, and Data Analyses
Edited by: Zhilan Feng Purdue University, West Lafayette, IN
Ulf Dieckmann International Institute for Applied Systems Analysis, Laxenburg, Austria
Simon Levin Princeton University, Princeton, NJ
A co-publication of the AMS and DIMACS
eBook ISBN:  978-1-4704-4028-2
Product Code:  DIMACS/71.E
List Price: $102.00
MAA Member Price: $91.80
AMS Member Price: $81.60
  • Book Details
     
     
    DIMACS - Series in Discrete Mathematics and Theoretical Computer Science
    Volume: 712006; 237 pp
    MSC: Primary 34; 35; 62; 92

    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 re-adaptation 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.

    Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1–7 were co-published with the Association for Computer Machinery (ACM).

    Readership

    Graduate students and research mathematicians interested in mathematical biology.

  • Table of Contents
     
     
    • Model infrastructure
    • The implications of spatial structure within populations to the evolution of parasites
    • Insights from Price’s equation into evolutionary epidemiology
    • Within-host pathogen dynamics: Some ecological and evolutionary consequences of transients, dispersal mode, and within-host spatial heterogeneity
    • Evolutionary and dynamic models of infection with internal host structure
    • Basic methods for modeling the invasion and spread of contagious diseases
    • Applications to specific diseases
    • Modeling the invasion and spread of contagious diseases in heterogeneous populations
    • A cophylogenetic perspective on host-pathogen evolution
    • The influence of anti-viral drug therapy on the evolution of HIV-1 pathogens
    • Do rhinoviruses follow the neutral theory? The role of cross-immunity in maintaining the diversity of the common cold
    • Drug resistance in acute viral infections: Rhinovirus as a case study
    • Dynamics and control of antibiotic resistance in structured metapopulations
  • Additional Material
     
     
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Accessibility – to request an alternate format of an AMS title
Volume: 712006; 237 pp
MSC: Primary 34; 35; 62; 92

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 re-adaptation 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.

Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1–7 were co-published with the Association for Computer Machinery (ACM).

Readership

Graduate students and research mathematicians interested in mathematical biology.

  • Model infrastructure
  • The implications of spatial structure within populations to the evolution of parasites
  • Insights from Price’s equation into evolutionary epidemiology
  • Within-host pathogen dynamics: Some ecological and evolutionary consequences of transients, dispersal mode, and within-host spatial heterogeneity
  • Evolutionary and dynamic models of infection with internal host structure
  • Basic methods for modeling the invasion and spread of contagious diseases
  • Applications to specific diseases
  • Modeling the invasion and spread of contagious diseases in heterogeneous populations
  • A cophylogenetic perspective on host-pathogen evolution
  • The influence of anti-viral drug therapy on the evolution of HIV-1 pathogens
  • Do rhinoviruses follow the neutral theory? The role of cross-immunity in maintaining the diversity of the common cold
  • Drug resistance in acute viral infections: Rhinovirus as a case study
  • Dynamics and control of antibiotic resistance in structured metapopulations
Review Copy – for publishers of book reviews
Accessibility – to request an alternate format of an AMS title
Please select which format for which you are requesting permissions.