|
|
books
| book details |
Mathematical Analysis of Infectious Diseases
Edited by Praveen Agarwal, Edited by Juan J. Nieto, Edited by Delfim F.M. Torres
|
| on special |
normal price: R 2 805.95
Price: R 2 524.95
|
| book description |
Mathematical Analysis of Infectious Diseases updates on the mathematical and epidemiological analysis of infectious diseases. Epidemic mathematical modeling and analysis is important, not only to understand disease progression, but also to provide predictions about the evolution of disease. One of the main focuses of the book is the transmission dynamics of the infectious diseases like COVID-19 and the intervention strategies. It also discusses optimal control strategies like vaccination and plasma transfusion and their potential effectiveness on infections using compartmental and mathematical models in epidemiology like SI, SIR, SICA, and SEIR. The book also covers topics like: biodynamic hypothesis and its application for the mathematical modeling of biological growth and the analysis of infectious diseases, mathematical modeling and analysis of diagnosis rate effects and prediction of viruses, data-driven graphical analysis of epidemic trends, dynamic simulation and scenario analysis of the spread of diseases, and the systematic review of the mathematical modeling of infectious disease like coronaviruses.
| product details |

Normally shipped |
Publisher | Elsevier Science & Technology
Published date | 8 Jun 2022
Language |
Format | Paperback / softback
Pages | 344
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 710g
ISBN | 978-0-3239-0504-6
Readership Age |
BISAC | science / life sciences / biology / general
| other options |

Normally shipped |
Readership Age |
Normal Price | R 4 486.95
Price | R 4 037.95
| on special |

Normally shipped |
Readership Age |
Normal Price | R 5 447.95
Price | R 4 902.95
| on special |
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
|
|
|
Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
|
A terrifying locked-room mystery set in a remote outpost on Mars.
|
An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
|
|
|
|