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

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 weobjectively 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? 
  

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