Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases

Nonfiction, Health & Well Being, Medical, Ailments & Diseases, Infectious Diseases, General, Science & Nature, Mathematics, Statistics
Cover of the book Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319404134
Publisher: Springer International Publishing Publication: July 27, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319404134
Publisher: Springer International Publishing
Publication: July 27, 2016
Imprint: Springer
Language: English

The contributions by epidemic modeling experts describe how mathematical models and statistical forecasting are created to capture the most important aspects of an emerging epidemic.Readers will discover a broad range of approaches to address questions, such as

  • Can we control Ebola via ring vaccination strategies?

  • How quickly should we detect Ebola cases to ensure epidemic control?

  •  What is the likelihood that an Ebola epidemic in West Africa leads to secondary outbreaks in other parts of the world?  

  • When does it matter to incorporate the role of disease-induced mortality on epidemic models?

  •  What is the role of behavior changes on Ebola dynamics? 

  • How can we better understand the control of cholera or Ebola using optimal control theory?

  • How should a population be structured in order to mimic the transmission dynamics of diseases such as chlamydia, Ebola, or cholera?

  • How can we objectively determine the end of an epidemic?

  • How can we use metapopulation models to understand the role of movement restrictions and migration patterns on the spread of infectious diseases?

  • How can we capture the impact of household transmission using compartmental epidemic models?

  • How could behavior-dependent vaccination affect the dynamical outcomes of epidemic models? 

The derivation and analysis of the mathematical models addressing these questions provides a wide-ranging overview of the new approaches being created to better forecast and mitigate emerging epidemics. 

This book will be of interest to researchers in the field of mathematical epidemiology, as well as public health workers.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The contributions by epidemic modeling experts describe how mathematical models and statistical forecasting are created to capture the most important aspects of an emerging epidemic.Readers will discover a broad range of approaches to address questions, such as

The derivation and analysis of the mathematical models addressing these questions provides a wide-ranging overview of the new approaches being created to better forecast and mitigate emerging epidemics. 

This book will be of interest to researchers in the field of mathematical epidemiology, as well as public health workers.

More books from Springer International Publishing

Cover of the book Jacobus Cornelius Kapteyn by
Cover of the book Human Mental Workload: Models and Applications by
Cover of the book Computational Science and Its Applications – ICCSA 2017 by
Cover of the book Mathematics and Computation in Music by
Cover of the book Disgorgement of Profits by
Cover of the book Phase Change Memory by
Cover of the book Why Life Matters by
Cover of the book Atlas of Crabs of the Persian Gulf by
Cover of the book Industrial Espionage and Technical Surveillance Counter Measurers by
Cover of the book New Results in Numerical and Experimental Fluid Mechanics X by
Cover of the book Principles of Food Chemistry by
Cover of the book The Dynamics of Nonlinear Reaction-Diffusion Equations with Small Lévy Noise by
Cover of the book Hughes Syndrome by
Cover of the book Food Justice in US and Global Contexts by
Cover of the book Off-road Vehicle Dynamics by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy