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Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases (Hardcover, 1st ed. 2016)
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Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases (Hardcover, 1st ed. 2016)
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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.
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