Modeling Disease Spread in Dynamic Small World
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Contents |
Modeling Disease Spread in a Dynamic Small World Network
Project Members
Project by: Matt Jones (University of Maine)
Advisors: Susan McKay, Tom Stone (Department of Physics, UMaine)
Abstract
Dynamic small world (DSW) networks are often used to model spreading processes on networks, such as rumor propagation, information flow, and disease outbreaks. The objectives of this project are to incorporate “super-spreaders” into the standard DSW disease model and to investigate the effects of random and targeted vaccination programs in this model. Quantities of interest include infectives as a function of time, peak and total outbreak times, and determination of which parameter values lead to an endemic state.
References
None
Tentative Schedule
- Week 1 (06/01-06/05):
- SuperMe program orientation
- Week 2 (06/08-06/12):
- Read background information
- Create project abstract
- Week 3 (06/15-06/19):
- Build Dynamic Small World Network, not including probabilities
- Week 4 (06/22-06/26):
- Begin Incorporating probabilities into model
- Begin Simulations
- Week 5 (06/29-07/03):
- Continue Running Simulations
- Add "super-spreader" and vaccination functionality to code
- Begin Mid-Term paper
- Week 6 (07/06-07/10):
- Continue Running Simulation
- Mid Term Paper - Due Wednesday, July 8
- Week 7 (07/13-07/17):
- Debug Newly Discovered issues
- Continue Running Simulations
- Week 8 (07/20-07/24):
- Finalize Simulations
- Begin Preparing graphs and analyzing Results
- Week 9 (07/27-07/31):
- Begin Work on Final Presentation
- Week 10 (08/03-08/07):
- Finalize Paper, Poster and Presentation
- Rough Draft of Presentation Due - Monday, August 3
- Poster due - Thursday, August 6
- Final symposium - Friday, August 7
Mid-Term Report
Final Report
Final Report, LaTeX Format Final Report, Note: this is a LaTeX .tex file, not a Microsoft Word .doc File.