Esta web utiliza cookies propias y de terceros que nos permiten optimizar tu experiencia en el sitio web, evaluar su rendimiento, generar estadísticas de uso y mejorar y añadir nuevas funcionalidades. Mediante el análisis de tus hábitos de navegación podemos mostrar contenidos más relevantes y medir las interacciones con la web.
Puede obtener más información aquí.

Avanzado
Artículos
Portada

MATHEMATICAL MODELING APPROACH TO INFECTIOUS DISEASES, A IBD

SCHIESSER W E / W E SCHIESSER / WILLIAM E SC
WORLD SCIENTIFIC
07 / 2018
9789813238787
Inglés

Sinopsis

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 exended 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.