Revised Model for Antibiotic Resistance in a Hospital

In this thesis we modify an existing model for the spread of resistant bacteria in a hospital. The existing model does not account for some of the trends seen in the data found in literature. The new model takes some of these trends into account. For the new model, we examine issues relating to iden...

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Main Author: Pei, Ruhang
Format: Others
Published: Digital Commons @ East Tennessee State University 2015
Subjects:
Online Access:https://dc.etsu.edu/etd/2471
https://dc.etsu.edu/cgi/viewcontent.cgi?article=3842&context=etd
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spelling ndltd-ETSU-oai-dc.etsu.edu-etd-38422019-05-16T04:44:13Z Revised Model for Antibiotic Resistance in a Hospital Pei, Ruhang In this thesis we modify an existing model for the spread of resistant bacteria in a hospital. The existing model does not account for some of the trends seen in the data found in literature. The new model takes some of these trends into account. For the new model, we examine issues relating to identifiability, sensitivity analysis, parameter estimation, uncertainty analysis, and equilibrium stability. 2015-05-01T07:00:00Z text application/pdf https://dc.etsu.edu/etd/2471 https://dc.etsu.edu/cgi/viewcontent.cgi?article=3842&context=etd Copyright by the authors. Electronic Theses and Dissertations Digital Commons @ East Tennessee State University Antibiotic resistance Identifiability Sensitivity Analysis Parameter Estimation Uncertainty Analysis Equilibrium Stability Analysis Analysis Other Mathematics
collection NDLTD
format Others
sources NDLTD
topic Antibiotic resistance
Identifiability
Sensitivity Analysis
Parameter Estimation
Uncertainty Analysis
Equilibrium
Stability Analysis
Analysis
Other Mathematics
spellingShingle Antibiotic resistance
Identifiability
Sensitivity Analysis
Parameter Estimation
Uncertainty Analysis
Equilibrium
Stability Analysis
Analysis
Other Mathematics
Pei, Ruhang
Revised Model for Antibiotic Resistance in a Hospital
description In this thesis we modify an existing model for the spread of resistant bacteria in a hospital. The existing model does not account for some of the trends seen in the data found in literature. The new model takes some of these trends into account. For the new model, we examine issues relating to identifiability, sensitivity analysis, parameter estimation, uncertainty analysis, and equilibrium stability.
author Pei, Ruhang
author_facet Pei, Ruhang
author_sort Pei, Ruhang
title Revised Model for Antibiotic Resistance in a Hospital
title_short Revised Model for Antibiotic Resistance in a Hospital
title_full Revised Model for Antibiotic Resistance in a Hospital
title_fullStr Revised Model for Antibiotic Resistance in a Hospital
title_full_unstemmed Revised Model for Antibiotic Resistance in a Hospital
title_sort revised model for antibiotic resistance in a hospital
publisher Digital Commons @ East Tennessee State University
publishDate 2015
url https://dc.etsu.edu/etd/2471
https://dc.etsu.edu/cgi/viewcontent.cgi?article=3842&context=etd
work_keys_str_mv AT peiruhang revisedmodelforantibioticresistanceinahospital
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