1.

Record Nr.

UNINA9910484119603321

Titolo

Mathematical epidemiology / / Fred Brauer, Pauline van den Driessche, Jianhong Wu (eds.) ; with contributions by L.J.S. Allen ... [et al.]

Pubbl/distr/stampa

Berlin, : Springer, 2008

ISBN

3-540-78911-1

Edizione

[1st ed. 2008.]

Descrizione fisica

1 online resource (XVIII, 414 p. 71 illus., 27 illus. in color.)

Collana

Lecture notes in mathematics, , 0075-8434 ; ; 1945

Altri autori (Persone)

BrauerFred

Van den DriesschePauline <1941->

WuJianhong <1964->

AllenLinda J. S

Disciplina

614.4

Soggetti

Epidemiology - Mathematical models

Public health - Mathematical models

Biomathematics

Mathematical models

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

pt. 1. Introduction and general framework -- pt. 2. Advanced modeling and heterogeneities -- pt. 3. Case studies.

Sommario/riassunto

Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be



downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca ).