Thesis Topic Details
Topic ID: |
918 | |
Title: |
Bacterial evolution: modelling the dynamics of antibiotic resistance | |
Supervisor: |
Mark Tanaka | |
Research Area: |
Modelling | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Bruno Gaeta | |
| Topic Details | ||
Status: |
Active | |
Type: |
Research | |
Programs: |
BINF | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
-- | |
Description: |
Bacteria are known to evolve resistance to antibiotics within years of the introduction of any drug. The rising frequency of antibiotic resistance raises public health concerns about the future treatability of bacterial infections. Drug resistance genes are known to induce a reproductive fitness cost to bacteria in the absence of drugs. One possible public health strategy is therefore to use drugs prudently and sparingly with the hope that there will be a reversion to sensitivity in the bacterial population. A hindrance to this approach, however, is that resistant bacteria evolve further to reduce the cost of resistance in the absence of drugs, thereby reducing the competitive advantage of sensitive strains. The aim of this project is to understand these complex dynamics through mathematical and computational models. Through these models the effectiveness of the prudent-use approach can be evaluated. |
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Comments: |
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| Past Student Reports | ||
| Alexander WONG in s1, 2011 Bacterial evolution: modelling the dynamics of antibiotic resistance |
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Download report from the CSE Thesis Report Library NOTE: only current CSE students can login to view and select reports to download. | ||