Statistical and simulation modelling for enhanced understanding of hospital pathogen and related health issues
Lee, Xing Ju (2017) Statistical and simulation modelling for enhanced understanding of hospital pathogen and related health issues. PhD by Publication, Queensland University of Technology.
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Xing Ju Lee Thesis (PDF 4MB) |
Abstract
This thesis investigated the temporal occurrence and transmission of within hospital pathogens using appropriate statistical and simulation models applied to imperfect hospital data. The research provides new insights into the transmission dynamics of methicillin-resistant Staphylococcus aureus within a hospital ward to assist infection control and prevention efforts. Additionally, appropriate statistical methods are identified to analyse hospital infection data which take into account the intricacies and potential limitations of such data.
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| ID Code: | 103762 |
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| Item Type: | QUT Thesis (PhD by Publication) |
| Supervisor: | Pettitt, Tony, Barnett, Adrian, & Whitby, Michael |
| Keywords: | approximate Bayesian computation, data-augmentation, environmental contamination, Markov chain Monte Carlo, max-stable models, methicillin-resistant Staphylococcus aureus, model choice, non-homogeneous Poisson process |
| DOI: | 10.5204/thesis.eprints.103762 |
| Divisions: | Current > QUT Faculties and Divisions > Faculty of Health Current > Institutes > Institute of Health and Biomedical Innovation Current > Schools > School of Mathematical Sciences Current > QUT Faculties and Divisions > Science & Engineering Faculty Current > Schools > School of Public Health & Social Work |
| Institution: | Queensland University of Technology |
| Deposited On: | 10 Jul 2017 04:54 |
| Last Modified: | 14 Sep 2017 14:44 |
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