A Historical Introduction to Mathematical Modeling of Infectious Diseases

Seminal Papers in Epidemiology

Nonfiction, Health & Well Being, Medical, Ailments & Diseases, Infectious Diseases, General, Science & Nature, Mathematics, Applied
Cover of the book A Historical Introduction to Mathematical Modeling of Infectious Diseases by Ivo M. Foppa, Elsevier Science
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Author: Ivo M. Foppa ISBN: 9780128024997
Publisher: Elsevier Science Publication: October 18, 2016
Imprint: Academic Press Language: English
Author: Ivo M. Foppa
ISBN: 9780128024997
Publisher: Elsevier Science
Publication: October 18, 2016
Imprint: Academic Press
Language: English

A Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate the important historical papers on the subject, beginning in the 18th century. The book carefully, and critically, guides the reader through seminal writings that helped revolutionize the field.

With pointed questions, prompts, and analysis, this book helps the non-mathematician develop their own perspective, relying purely on a basic knowledge of algebra, calculus, and statistics. By learning from the important moments in the field, from its conception to the 21st century, it enables readers to mature into competent practitioners of epidemiologic modeling.

  • Presents a refreshing and in-depth look at key historical works of mathematical epidemiology
  • Provides all the basic knowledge of mathematics readers need in order to understand the fundamentals of mathematical modeling of infectious diseases
  • Includes questions, prompts, and answers to help apply historical solutions to modern day problems
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

A Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate the important historical papers on the subject, beginning in the 18th century. The book carefully, and critically, guides the reader through seminal writings that helped revolutionize the field.

With pointed questions, prompts, and analysis, this book helps the non-mathematician develop their own perspective, relying purely on a basic knowledge of algebra, calculus, and statistics. By learning from the important moments in the field, from its conception to the 21st century, it enables readers to mature into competent practitioners of epidemiologic modeling.

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