- Library Home /
- Search Collections /
- Open Collections /
- Browse Collections /
- UBC Theses and Dissertations /
- Perturbation theory of linear systems with applications...
Open Collections
UBC Theses and Dissertations
UBC Theses and Dissertations
Perturbation theory of linear systems with applications to structured epidemic models Hossain, Md Tareque
Abstract
We explore the impact of parameter changes on infection spread within structured populations. We study perturbations of linear models in both discrete and continuous time. By interpreting the resulting formulas in the context of an associated Markov chain, new insights are gained. Specifically, we explain how the rate of change of key quantities, that we represent with the so-called canonical flow, is determined by expected hitting times of cor- responding states in the Markov chain, from different initial distributions. We give intuitive direct proofs of known results and obtain novel formulas in the case of a general primitive or irreducible Metzler matrix. We apply our results to two models from the literature: the fast pathogen movement limit of a structured model of Cholera spread, and the slow-fast decomposition of critical structured SIR models near the disease-free set. We explain how the latter context can be used to model the effects of control measures with uncontrolled response variables.
Item Metadata
Title |
Perturbation theory of linear systems with applications to structured epidemic models
|
Creator | |
Supervisor | |
Publisher |
University of British Columbia
|
Date Issued |
2023
|
Description |
We explore the impact of parameter changes on infection spread within
structured populations. We study perturbations of linear models in both
discrete and continuous time. By interpreting the resulting formulas in the
context of an associated Markov chain, new insights are gained. Specifically,
we explain how the rate of change of key quantities, that we represent with
the so-called canonical flow, is determined by expected hitting times of cor-
responding states in the Markov chain, from different initial distributions.
We give intuitive direct proofs of known results and obtain novel formulas in
the case of a general primitive or irreducible Metzler matrix. We apply our
results to two models from the literature: the fast pathogen movement limit
of a structured model of Cholera spread, and the slow-fast decomposition
of critical structured SIR models near the disease-free set. We explain how
the latter context can be used to model the effects of control measures with
uncontrolled response variables.
|
Genre | |
Type | |
Language |
eng
|
Date Available |
2023-12-14
|
Provider |
Vancouver : University of British Columbia Library
|
Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
DOI |
10.14288/1.0438287
|
URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
|
Graduation Date |
2024-02
|
Campus | |
Scholarly Level |
Graduate
|
Rights URI | |
Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International