4 edition of **Differential equations models in biology, epidemiology, and ecology** found in the catalog.

Differential equations models in biology, epidemiology, and ecology

- 197 Want to read
- 23 Currently reading

Published
**1991**
by Springer-Verlag in Berlin, New York
.

Written in English

- Biomathematics -- Congresses.,
- Population biology -- Mathematics -- Congresses.,
- Epidemiology -- Mathematical models -- Congresses.,
- Differential equations -- Congresses.

**Edition Notes**

Statement | S. Busenberg, M. Martelli, eds. |

Series | Lecture notes in biomathematics ;, 92 |

Contributions | Busenberg, Stavros N., Martelli, M. 1937- |

Classifications | |
---|---|

LC Classifications | QH323.5 .D54 1991 |

The Physical Object | |

Pagination | ix, 267 p. : |

Number of Pages | 267 |

ID Numbers | |

Open Library | OL1544267M |

ISBN 10 | 3540542833, 0387542833 |

LC Control Number | 91023334 |

The book includes problems, ‘projects, an in-book appendix, and a future on-line appendix. Answers are provided for some but not all problems, to encourage students to become involved and not just be spectators." (Janet Foley, Ecology, Vol. 83 (1), ) "The role of mathematics in ecology and epidemiology Author: Fred Brauer, Carlos Castillo-Chavez. Mathematical modeling in ecology and epidemiology Habilitation thesis Masaryk University, Faculty of Science, Brno differential or difference equations, which describe how populations change with many models in current mathematical biology are by deﬁnition simulation models.

known logistic equation, a model that will also make an appearance in subsequent chapters. The second model is an extension of the logistic model to species compe-tition. And the third model is the famous Lotka-Volterra predator-prey equations. Because all these mathematical models are nonlinear differential equations. Get this from a library! Differential Equations Models in Biology, Epidemiology and Ecology: Proceedings of a Conference held in Claremont California, January , [Stavros Busenberg; Mario Martelli] -- The meeting explored current directions of research in population problems, epidemiology and ecology .

Abstract (from the book) Spatially homogeneous processes of change are the subject of the preceding chapter. Partial differential equations are one method to model the interplay of these processes with . Download Citation | On , Mats Gyllenberg and others published D.S. Jones and B.D. Sleeman, Differential Equations and Mathematical Biology, Chapman and Hall/CRC, , ISBN 1 Author: Mats Gyllenberg.

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Differential Equations Models in Biology, Epidemiology and Ecology: Proceedings of a Conference held in Claremont California, January(Lecture Notes in Biomathematics (92)) [Mario Martelli, Stavros Busenberg] on *FREE* shipping on qualifying offers.

Differential Equations Models in Biology, Epidemiology and Ecology. Differential Equations Models in Biology, Epidemiology and Ecology Proceedings of a Conference held in Claremont California, January 13–16, Editors: Busenberg, Stavros, Martelli, Mario (Eds.).

Differential Equations Models in Biology, Epidemiology and Ecology. Proceedings of a Conference held in Claremont California, January 13ƒ??16, on *FREE* shipping on qualifying offers.

Differential Equations Models in Biology, Epidemiology and Ecology. Differential equations models in biology, epidemiology, and ecology by Stavros N. Busenberg, M. Martelli,Springer-Verlag edition, in EnglishPages: In this paper a plea is made for introducing difference equation models in ecology and epidemics at the high school stage to enliven the teaching of mathematics at this stage and to convince future scientists and engineers that even simple algebra can give deep insight into natural phenomena.

These models Cited by: 1. There are three basic types of deterministic models for infectious diseases which are spread by direct person-to-person contact in a population. And ecology book these simplest models are formulated as initial value problems for systems of ordinary differential equations Cited by: ODEs and Biology Assumptions for ODEs: – Deterministic system – No uncertainity – Populational level of description – dynamics (or time evolution)of a system Why ODEs: – Strong mathematical history and background – Historical relationships between ODEs and biology (bio)chemistry, enzymology, ecology, epidemiology.

- Buy Mathematical Models in Population Biology and Epidemiology (Texts in Applied Mathematics) book online at best prices in India on Read Mathematical Models in Population Biology and Epidemiology (Texts in Applied Mathematics) book 4/5(4).

Dynamic Models in Biology offers an introduction to modern mathematical biology. This book provides a short introduction to modern mathematical methods in modeling dynamical phenomena and treats the broad topics of population dynamics, epidemiology, evolution, immunology, morphogenesis, and pattern formation.

Primarily employing differential. The last group comprises of work on various aspects of differential equations and dynamical systems, not essentially motivated by biological applications. This book is valuable to students and researchers in theoretical biology and biomathematics, as well as to those interested in modern applications of differential equations.

Mathematical Models in Population Biology and Epidemiology. This book is an introduction to the principles and practice of mathematical modeling in the biological sciences, concentrating on applications in population biology, epidemiology 5/5(2).

This book gives and discusses many continuous and discrete models from population dynamics, epidemiology, and resource management. A large number and variety of examples, exercises are included.

The book. Differential Equations with Applications to Biology. This book presents the proceedings from the International Conference held in Halifax, NS in July Funded by The Fields Institute and Le Centre de Recherches Mathématiques, the conference was held in honor of the retirement of Professors Lynn Erbe and Herb I.

Freedman (University. This book gives and discusses many continuous and discrete models from population dynamics, epidemiology, and resource management. A large number and variety of examples, exercises are included. The book Brand: Springer-Verlag New York.

The goal of this book is to search for a balance between simple and analyzable models and unsolvable models which are capable of addressing important questions on population biology. Part I focusses on single species simple models /5(2). Finally, we complete our model by giving each differential equation an initial condition.

For this particular virus -- Hong Kong flu in New York City in the late 's -- hardly anyone was immune at. Get this from a library. Differential equations models in biology, epidemiology, and ecology: proceedings of a conference held in Claremont, California, January[Stavros N.

Deepen students' understanding of biological phenomena Suitable for courses on differential equations with applications to mathematical biology or as an introduction to mathematical biology, Differential Equations and Mathematical Biology 4/5(3).

Mathematical Models in Population Biology and Epidemiology (Texts in Applied Mathematics Book 40) - Kindle edition by Brauer, Fred, Castillo-Chavez, Carlos.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Mathematical Models in Population Biology and Epidemiology (Texts in 4/5(4).

The book uses various differential equations to model biological phenomena, the heartbeat cycle, chemical reactions, electrochemical pulses in the nerve, predator- prey models, tumour growth.

One important such models is the ordinary differential equations. It describes relations between variables and their derivatives.

Such models appear everywhere. For instance, population dynamics in ecology and biology File Size: 1MB.While the principal focus is ecology and epidemiology, the coverage extends even to waste recycling and a genetic application.

The topics covered in the 12 peer-reviewed contributions involve such diverse mathematical tools as ordinary and partial differential equations, delay equations, stochastic equations.The organization and much of the material were heavily inspired by Leah Keshet’s beautiful book Mathematical Models in Biology, McGraw-Hill,as well as other sources, but there is a little more of an emphasis on ﬁsystems biologyﬂ ideas and less of an emphasis on traditional population dynamics and Size: 2MB.