Mathematical modelling and nonstandard schemes for the Corona virus pandemic / Sarah Marie Treibert.
Treibert, Sarah Marie, author.
2021
RA644.C67 T74 2021
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Mathematical modelling and nonstandard schemes for the Corona virus pandemic / Sarah Marie Treibert.
Author
Treibert, Sarah Marie, author.
ISBN
9783658359324 (electronic bk.)
3658359323 (electronic bk.)
9783658359317
3658359315
DOI
https://doi.org/10.1007/978-3-658-35932-4
Published
Wiesbaden : Springer Spektrum, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations
Item Number
10.1007/978-3-658-35932-4 doi
Call Number
RA644.C67 T74 2021
Dewey Decimal Classification
362.1962/41401/5118
Summary
This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other. About the author Sarah Marie Treibert is a research assistant at the Chair of Applied Mathematics / Numerical Analysis of the University of Wuppertal (Bergische Universität Wuppertal). Her focus is on Epidemic Modelling.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 20, 2021).
Series
BestMasters. 2625-3615
Available in Other Form
Mathematical modelling and nonstandard schemes for the Corona virus pandemic.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Introduction
The Severe Acute Respiratory Syndrome Corona Virus Type 2
The SIR Model in Epidemic Modelling
The SARS-CoV-2-fitted SEIR Model
Model Specifications
Parameter Estimation in MAT LAB
Markov Chain Epidemic Models
Rþesumþ.

Browse Subjects

Show more subjects...

Statistics

from
to
Export