Features of An Introduction to Mathematical Epidemiology PDF
An Introduction to Mathematical Epidemiology PDF-The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of infectious diseases. It includes model building, fitting to data, local and global analysis techniques. Various types of deterministic dynamical models are considered: ordinary differential equation models, delay-differential equation models, difference equation models, age-structured PDE models and diffusion models. It includes various techniques for the computation of the basic reproduction number as well as approaches to the epidemiological interpretation of the reproduction number. MATLAB code is included to facilitate the data fitting and the simulation with age-structured models.
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Description of An Introduction to Mathematical Epidemiology PDF
An Introduction to Mathematical Epidemiology PDF is one of the best medical books for students and professionals on the subject of Infectious Diseases. It is a must download.
Maia Nenkova Martcheva-Drashanska is a Bulgarian-American mathematical biologist known for her books on population dynamics and epidemiology. She is a professor of mathematics at the University of Florida, where she is also affiliated with the department of biology
Dimensions and Characteristics of An Introduction to Mathematical Epidemiology PDF
- Publisher : Springer; 1st ed. 2015 edition (October 21, 2015)
- Language : English
- Hardcover : 467 pages
- International Standard Book Number-10 : 1489976116
- International Standard Book Number-13 : 978-1489976116
- Item Weight : 18.12 pounds
- Dimensions : 6.14 x 1 x 9.21 inches
- Book Name : An Introduction to Mathematical Epidemiology PDF
Download Link 1
Joseph J Grenier “An Introduction to Mathematical Equilibrium
Springer Berlin Heidelberg New York
Joseph Grenier MD PhD MPH
This a detailed probability book on population models in public health. Proofs, theorems, graphs, set theory, epidemic models are used to help understand mortality and morbidity rates. The mathematical approach is complex and not an introduction to the field. The formalism and definitions in symbolism is not presented for epidemiologists. Public health professionals will find it a difficult read, restricting its use to specialized mathematical and statistics circles.
Other books from Wiley by Gail (e.g.. Encyclopedia of Epidemiological Methods) are more readable and useful. I would use the book as a reference for running computer simulations concerning predicted outcomes. This is also not a book for a graduate course in Epidemiology.”
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