Compartmental, Spatial, and Point Process Models for Infectious Diseases
- Author:
- Goldstein, Joshua
- Published:
- [University Park, Pennsylvania] : Pennsylvania State University, 2015.
- Physical Description:
- 1 electronic document
- Additional Creators:
- Haran, Murali
- Access Online:
- etda.libraries.psu.edu
- Restrictions on Access:
- Open Access.
- Summary:
- My dissertation research focuses on developing a range of methods for modelling infectious diseases. The classes of models I consider include (i) compartmental models, SIR models with a stochastic observation process, (ii) spatial gradient models, building upon a Gaussian process modeling framework, and (iii) Markov spatial point process models. In each case I am interested in understanding disease dynamics, either their spread or interactions. The scale of the dynamics I study varies from the cellular level (respiratory syncytial virus infections) to local populations in Africa (rotavirus infections) to county-level data in the U.S. (epidemics and invasive species). Computing challenges are a central part of this research, with a focus on Bayesian inference via Markov chain Monte Carlo.
- Genre(s):
- Dissertation Note:
- Ph.D. Pennsylvania State University 2015.
- Reproduction Note:
- Microfilm (positive). 1 reel ; 35 mm. (University Microfilms 10-025241)
- Technical Details:
- The full text of the dissertation is available as an Adobe Acrobat .pdf file ; Adobe Acrobat Reader required to view the file.
View MARC record | catkey: 16834573