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Discrete Methods in Epidemiology
 
Edited by: James Abello DIMACS, Piscataway, NJ and ask.com Research, Piscataway, NJ
Graham Cormode DIMACS, Piscataway, NJ and Bell Laboratories, Murray Hill, NJ
A co-publication of the AMS and DIMACS
Discrete Methods in Epidemiology
Softcover ISBN:  978-0-8218-4379-6
Product Code:  DIMACS/70.S
List Price: $109.00
MAA Member Price: $98.10
AMS Member Price: $87.20
eBook ISBN:  978-1-4704-4027-5
Product Code:  DIMACS/70.E
List Price: $102.00
MAA Member Price: $91.80
AMS Member Price: $81.60
Softcover ISBN:  978-0-8218-4379-6
eBook: ISBN:  978-1-4704-4027-5
Product Code:  DIMACS/70.S.B
List Price: $211.00 $160.00
MAA Member Price: $189.90 $144.00
AMS Member Price: $168.80 $128.00
Discrete Methods in Epidemiology
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Discrete Methods in Epidemiology
Edited by: James Abello DIMACS, Piscataway, NJ and ask.com Research, Piscataway, NJ
Graham Cormode DIMACS, Piscataway, NJ and Bell Laboratories, Murray Hill, NJ
A co-publication of the AMS and DIMACS
Softcover ISBN:  978-0-8218-4379-6
Product Code:  DIMACS/70.S
List Price: $109.00
MAA Member Price: $98.10
AMS Member Price: $87.20
eBook ISBN:  978-1-4704-4027-5
Product Code:  DIMACS/70.E
List Price: $102.00
MAA Member Price: $91.80
AMS Member Price: $81.60
Softcover ISBN:  978-0-8218-4379-6
eBook ISBN:  978-1-4704-4027-5
Product Code:  DIMACS/70.S.B
List Price: $211.00 $160.00
MAA Member Price: $189.90 $144.00
AMS Member Price: $168.80 $128.00
  • Book Details
     
     
    DIMACS - Series in Discrete Mathematics and Theoretical Computer Science
    Volume: 702006; 260 pp
    MSC: Primary 92; Secondary 68;

    Studies of the spread and containment of disease rely at heart on a variety of mathematical and computational techniques. This collection aims to introduce the fundamentals of epidemiology and to showcase contemporary work using discrete mathematical techniques. Introductory chapters explain the fundamental concepts of epidemiology, the basic tools provided by mathematics and computer science, and some of the outstanding open problems in the area. Contributed articles then highlight particular problems in monitoring disease outbreaks, vaccination strategies, and modelling disease survival factors, and successfully apply techniques such as formal concept analysis, support vector machines, random graph models, and systems of differential equations.

    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 the mathematical problems of epidemiology.

  • Table of Contents
     
     
    • Chapters
    • Selected data mining concepts
    • Descriptive epidemiology: A brief introduction
    • Biostatistical challenges in molecular data analysis
    • Mining online media for global disease outbreak monitoring
    • Generalized contingency tables and concept lattices
    • Graph partitions and concept lattices
    • Using transmission dynamics models to validate vaccine efficacy measures prior to conducting HIV vaccine efficacy trials
    • Causal tree of disease transmission and the spreading of infectious diseases
    • Structure of social contact networks and their impact on epidemics
    • Random graphs (and the spread of infections in a social network)
    • Attempting to narrow the integrality gap for the firefighter problem on trees
    • Influences on breast cancer survival via SVM classification in the SEER database
    • Validation of epidemiological models: Chicken epidemiology in the UK
  • Additional Material
     
     
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Accessibility – to request an alternate format of an AMS title
Volume: 702006; 260 pp
MSC: Primary 92; Secondary 68;

Studies of the spread and containment of disease rely at heart on a variety of mathematical and computational techniques. This collection aims to introduce the fundamentals of epidemiology and to showcase contemporary work using discrete mathematical techniques. Introductory chapters explain the fundamental concepts of epidemiology, the basic tools provided by mathematics and computer science, and some of the outstanding open problems in the area. Contributed articles then highlight particular problems in monitoring disease outbreaks, vaccination strategies, and modelling disease survival factors, and successfully apply techniques such as formal concept analysis, support vector machines, random graph models, and systems of differential equations.

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 the mathematical problems of epidemiology.

  • Chapters
  • Selected data mining concepts
  • Descriptive epidemiology: A brief introduction
  • Biostatistical challenges in molecular data analysis
  • Mining online media for global disease outbreak monitoring
  • Generalized contingency tables and concept lattices
  • Graph partitions and concept lattices
  • Using transmission dynamics models to validate vaccine efficacy measures prior to conducting HIV vaccine efficacy trials
  • Causal tree of disease transmission and the spreading of infectious diseases
  • Structure of social contact networks and their impact on epidemics
  • Random graphs (and the spread of infections in a social network)
  • Attempting to narrow the integrality gap for the firefighter problem on trees
  • Influences on breast cancer survival via SVM classification in the SEER database
  • Validation of epidemiological models: Chicken epidemiology in the UK
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.