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Stochastic Processes in Epidemic Theory

Proceedings of a Conference held in Luminy, France, October 23–29, 1988

  • Conference proceedings
  • © 1990

Overview

Part of the book series: Lecture Notes in Biomathematics (LNBM, volume 86)

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Table of contents (18 papers)

  1. Stochastic epidemic models for S-I-R infectious diseases: a brief survey of the recent general theory

  2. Statistical Aspects of Epidemic Models

  3. Mathematical Epidemiology

Keywords

About this book

This collection of papers gives a representative cross-selectional view of recent developments in the field. After a survey paper by C. Lefèvre, 17 other research papers look at stochastic modeling of epidemics, both from a theoretical and a statistical point of view. Some look more specifically at a particular disease such as AIDS, malaria, schistosomiasis and diabetes.

Editors and Affiliations

  • Institut de Mathématiques, Université de Fribourg, Fribourg, Schweiz

    Jean-Pierre Gabriel

  • Institut de Statistique C.P. 210, Université Libre de Bruxelles, Bruxelles, Belgien

    Claude Lefèvre

  • Lab. de Calcul des Probabilités et Statistique, Université de Lyon I, Villeurbanne Cedex, Frankreich

    Philippe Picard

Bibliographic Information

  • Book Title: Stochastic Processes in Epidemic Theory

  • Book Subtitle: Proceedings of a Conference held in Luminy, France, October 23–29, 1988

  • Editors: Jean-Pierre Gabriel, Claude Lefèvre, Philippe Picard

  • Series Title: Lecture Notes in Biomathematics

  • DOI: https://doi.org/10.1007/978-3-662-10067-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1990

  • Softcover ISBN: 978-3-540-52571-4Published: 12 June 1990

  • eBook ISBN: 978-3-662-10067-7Published: 11 March 2014

  • Series ISSN: 0341-633X

  • Series E-ISSN: 2196-9981

  • Edition Number: 1

  • Number of Pages: VIII, 197

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Probability Theory and Stochastic Processes, Mathematical and Computational Biology

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