Spatiotemporal Modeling of Influenza : Partial Differential Equation Analysis in R / by William E. Schiesser
By: Schiesser, William E., autor
Material type:
E-bookSeries: (Synthesis Lectures on Biomedical Engineering, 1930-0336).Publisher: Cham : Springer International Publishing, 2019Edition: 1st edition 2019.Description: 1 recurso en línea (XIII, 97 páginas).ISBN: 9783031016653.Subject: Ecuaciones diferenciales
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | RC150 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.01112934 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| RC150 2014 EB Influenza Pathogenesis and Control Volume I | RC150 2015 EB Influenza Pathogenesis and Control Volume II | RC150 2017 EB Influenza and respiratory care | RC150 2019 EB Spatiotemporal Modeling of Influenza : Partial Differential Equation Analysis in R | RC150 2021 EB Influenza : Advances in Diagnosis and Management | RC150 .R335 2016 EB Radiology of Influenza : A Practical Approach | RC150 .R534 2013 EB Swine Influenza |
Preface -- PDE Model Formulation -- Model Implementation -- Model Analysis -- Moving Boundary Model -- Author's Biography -- Index .
This book has a two-fold purpose: (1) An introduction to the computer-based modeling of influenza, a continuing major worldwide communicable disease. (2) The use of (1) as an illustration of a methodology for the computer-based modeling of communicable diseases. For the purposes of (1) and (2), a basic influenza model is formulated as a system of partial differential equations (PDEs) that define the spatiotemporal evolution of four populations: susceptibles, untreated and treated infecteds, and recovereds. The requirements of a well-posed PDE model are considered, including the initial and boundary conditions. The terms of the PDEs are explained. The computer implementation of the model is illustrated with a detailed line-by-line explanation of a system of routines in R (a quality, open-source scientific computing system that is readily available from the Internet). The R routines demonstrate the straightforward numerical solution of a system of nonlinear PDEs by the method of lines (MOL), an established general algorithm for PDEs. The presentation of the PDE modeling methodology is introductory with a minumum of formal mathematics (no theorems and proofs), and with emphasis on example applications. The intent of the book is to assist in the initial understanding and use of PDE mathematical modeling of communicable diseases, and the explanation and interpretation of the computed model solutions, as illustrated with the influenza model.
There are no comments on this title.