A mathematical modeling approach to infectious diseases cross diffusion PDE models for epidemiology
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) th...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New Jersey
World Scientific
2018
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | 52577 | ||
| 003 | MY-KLNDU | ||
| 005 | 20241219014227.0 | ||
| 008 | 221104 2018 njua abi 001 0 eng d | ||
| 020 | |a 9789813238787 (hardcover) | ||
| 020 | |a 981323878X (hardcover) | ||
| 039 | 9 | |a 202211041224 |b VLOAD |c 201912051434 |d johari |y 201904161512 |z helmey | |
| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a RA 652.2.M3 |b S33 2018 | ||
| 100 | 1 | |a Schiesser, W. E., |e author. | |
| 245 | 1 | 2 | |a A mathematical modeling approach to infectious diseases |b cross diffusion PDE models for epidemiology |c William E. Schiesser. |
| 264 | 1 | |a New Jersey |b World Scientific |c 2018 | |
| 300 | |a xii, 447 pages |b illustrations |c 24 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a 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/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. | ||
| 592 | |a 37706 |b 26/08/2019 |c RM 387.95 |h Bookline | ||
| 650 | 0 | |a Epidemiology |x Mathematical models. | |
| 650 | 0 | |a Epidemiology |x Statistical methods. | |
| 650 | 0 | |a Communicable diseases |x Epidemiology |x Mathematical models. | |
| 999 | |a vtls000063773 |c 52577 |d 52577 | ||