An Introduction to Mathematical Epidemiology PDF Download Free

An Introduction to Mathematical Epidemiology PDF

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.

The Authors

An Introduction to Mathematical Epidemiology PDF

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

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Top reviews

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.”

Martin “It has what we want, the math of the topics in prof quality. Not, however, the type of book which bothers too much with notational socialist details, so prep for verifying some differential equations in the proofs yourself. If you are a slow student, this is the book that has the meaty math and proofs but you will have to work to understand it.”
AshleyOracle “This textbook was required by my pathology course in an Occupational Therapist Assistant & Physiotherapist Assistant program. It is full of valuable, easy-to-read information. Not a whole lot of detail on each pathology, but that’s expected seeing as it discusses so many different ones. It’s also directed at PTAs, so I found that very helpful and relevant as a student. The style and format of the textbook make it extremely useful and simple to follow. My only complaint is that some of the conditions/pathologies weren’t included in the index, and some important terms were missing from the glossary. Overall great book, would recommend.”
Big Boss Hoss “This book is full of information, examples, charts, and helpful pictures; however, the book reads like a repetitive run on sentence. You also get a massive amount of information in a section that has little to do with the topic then the next topic is exactly that useless bit from the last topic cut and pasted. An editor would be nice. As well as bold terms with defined definitions. It is also hard to find information because of the lack of bold terms. Hard to look back and find information in the book as well without having to reread a whole chapter or section of a chapter.”


Reference: Wikipedia

An Introduction to Mathematical Epidemiology PDF

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