Mathematical Epidemiology Inf. Diseases - Couverture souple

Diekmann, O.

 
9780471492412: Mathematical Epidemiology Inf. Diseases
Couverture souple
ISBN 10 : 0471492418 ISBN 13 : 9780471492412
Editeur : John Wiley & Sons Ltd, 2000

Synopsis

Mathematical Epidemiology of Infectious Diseases Model Building, Analysis and Interpretation O. Diekmann University of Utrecht, The Netherlands J. A. P. Heesterbeek Centre for Biometry Wageningen, The Netherlands The mathematical modelling of epidemics in populations is a vast and important area of study. It is about translating biological assumptions into mathematics, about mathematical analysis aided by interpretation and about obtaining insight into epidemic phenomena when translating mathematical results back into population biology. Model assumptions are formulated in terms of, usually stochastic, behaviour of individuals and then the resulting phenomena, at the population level, are unravelled. Conceptual clarity is attained, assumptions are stated clearly, hidden working hypotheses are attained and mechanistic links between different observables are exposed. Features: Model construction, analysis and interpretation receive detailed attention Uniquely covers both deterministic and stochastic viewpoints Examples of applications given throughout Extensive coverage of the latest research into the mathematical modelling of epidemics of infectious diseases Provides a solid foundation of modelling skills The reader will learn to translate, model, analyse and interpret, with the help of the numerous exercises. In literally working through this text, the reader acquires modelling skills that are also valuable outside of epidemiology, certainly within population dynamics, but even beyond that. In addition, the reader receives training in mathematical argumentation. The text is aimed at applied mathematicians with an interest in population biology and epidemiology, at theoretical biologists and epidemiologists. Previous exposure to epidemic concepts is not required, as all background information is given. The book is primarily aimed at self-study and ideally suited for small discussion groups, or for use as a course text.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Mathematical Epidemiology of Infectious Diseases Model Building, Analysis and Interpretation O. Diekmann University of Utrecht, The Netherlands J. A. P. Heesterbeek Centre for Biometry Wageningen, The Netherlands The mathematical modelling of epidemics in populations is a vast and important area of study. It is about translating biological assumptions into mathematics, about mathematical analysis aided by interpretation and about obtaining insight into epidemic phenomena when translating mathematical results back into population biology. Model assumptions are formulated in terms of, usually stochastic, behaviour of individuals and then the resulting phenomena, at the population level, are unravelled. Conceptual clarity is attained, assumptions are stated clearly, hidden working hypotheses are attained and mechanistic links between different observables are exposed. Features:
∗ Model construction, analysis and interpretation receive detailed attention
∗ Uniquely covers both deterministic and stochastic viewpoints
∗ Examples of applications given throughout
∗ Extensive coverage of the latest research into the mathematical modelling of epidemics of infectious diseases
∗ Provides a solid foundation of modelling skills
The reader will learn to translate, model, analyse and interpret, with the help of the numerous exercises. In literally working through this text, the reader acquires modelling skills that are also valuable outside of epidemiology, certainly within population dynamics, but even beyond that. In addition, the reader receives training in mathematical argumentation. The text is aimed at applied mathematicians with an interest in population biology and epidemiology, at theoretical biologists and epidemiologists. Previous exposure to epidemic concepts is not required, as all background information is given. The book is primarily aimed at self–study and ideally suited for small discussion groups, or for use as a course text.

Revue de presse

"this is a very well–written book...." (Int. Jnl of Epidemiology, Vol. 30/1, 2001)

"The extensive exercises make the book suitable not only for courses in modeling, but also for self–study by epidemiologists, mathematicians, and statisticians." (SIAM Review, Vol. 43, No. 4)

"An attractive feature is that over one–third of the book is devoted to worked–out answers to the exercises" (Society for Industrial & Applied Mathematics Review. Vol. 43 No.4. 2001)

"this is a very well–written book...."(Int. Jnl of Epidemiology, Vol. 30/1, 2001)

"The extensive exercises make the book suitable not only for courses in modeling, but also for self–study by epidemiologists, mathematicians, and statisticians." (SIAM Review, Vol. 43, No. 4)

"An attractive feature is that over one–third of the book is devoted to worked–out answers to the exercises" (Society for Industrial & Applied Mathematics Review. Vol. 43 No.4. 2001)

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
John Wiley & Sons Ltd
Date d'édition
2000
Langue
anglais
ISBN 10 
0471492418
ISBN 13 
9780471492412
Reliure
Broché
Nombre de pages
320
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9780471986829: Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation

Edition présentée

ISBN 10 :  0471986828 ISBN 13 :  9780471986829
Editeur : John Wiley & Sons Ltd, 2000
Couverture rigide