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Mathematical Modeling Approach To Infectious Diseases, A: Cross Diffusion Pde Models For Epidemiology (Hardcover)
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Mathematical Modeling Approach To Infectious Diseases, A: Cross Diffusion Pde Models For Epidemiology (Hardcover)
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The intent of this book is to provide a methodology for the
analysis of infectious diseases by computer-based mathematical
models. The approach is based on ordinary differential equations
(ODEs) that provide time variation of the model dependent variables
and partial differential equations (PDEs) that provide time and
spatial (spatiotemporal) variations of the model dependent
variables.The starting point is a basic ODE SIR (Susceptible
Infected Recovered) model that defines the S,I,R populations as a
function of time. The ODE SIR model is then extended to PDEs that
demonstrate the spatiotemporal evolution of the S,I,R populations.
A unique feature of the PDE model is the use of cross diffusion
between populations, a nonlinear effect that is readily
accommodated numerically. A second feature is the use of radial
coordinates to represent the geographical distribution of the model
populations.The numerical methods for the computer implementation
of ODE/PDE models for infectious diseases are illustrated with
documented R routines for particular applications, including models
for malaria and the Zika virus. The R routines are available from a
download so that the reader can reproduce the reported solutions,
then extend the applications through computer experimentation,
including the addition of postulated effects and associated
equations, and the implementation of alternative models of
interest.The ODE/PDE methodology is open ended and facilitates the
development of computer-based models which hopefully can elucidate
the causes/conditions of infectious disease evolution and suggest
methods of control.
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