Network Modeling for Epidemics Summer Short Course (Seattle, 8/12-8/17/2019)
Posted: 2/22/2019 (Local Events)
Network Modeling for Epidemics
Summer short course at the University of Washington
12-16 August, 2019
Network Modeling for Epidemics (NME) is a 5-day short course at the University of Washington that provides an introduction to stochastic network models for infectious disease transmission dynamics, with a focus on empirically based modeling of HIV transmission. It is a ”hands-on” course, using the EpiModel software package in R (www.epimodel.org). EpiModel provides a unified framework for statistically based modeling of dynamic networks from empirical data, and simulation of epidemic dynamics on these networks. It has a flexible open-source platform for learning and building several types of epidemic models: deterministic compartmental, stochastic individual-based, and stochastic network models. Resources include simple models that run in a browser window, built-in generic models that provide basic control over population contact patterns, pathogen properties and demographics, and templates for user-programmed modules that allow EpiModel to be extended to the full range of pathogens, hosts, and disease dynamics for advanced research. This course will touch on the deterministic and individual-based models, but its primary focus is on the theory, methods and application of network models.
The course uses a mix of lectures, tutorials, and labs with students working in small groups. On the final day, students work to develop an EpiModel prototype model (either individually or in groups based on shared research interests), with input from the instructors, including the lead EpiModel software developer, Dr. Samuel Jenness.
Returning students: We encourage previous attendees with active modeling projects to apply to return for a refresher course. The EpiModel package has been significantly enhanced over the last few years. Returning students with active projects will have the opportunity to work with course instructors to address key challenges in the design of their network model code.
Dates and location:
The course will be taught from Monday, August 12 to Friday, August 16 on the University of Washington campus in Seattle.
Costs:
Course fee is $750. Travel and accommodation costs are the responsibility of the participant, although discounted hotel rates are available. We offer a limited number of fee waivers for pre-doctoral students or for attendees from low income countries. These cover waiver of the registration fee only; travel and accommodation are still the responsibility of the fee waiver recipient.
Application dates and decision dates:
* Apr 1: Fee-waiver application deadline. Decisions will be made by Apr 15, and response required by May 1.
* May 1: General application deadline. Decisions will be made by May 15 and a response required by June 1. A waitlist will be established with rolling admission through June 30.
Application:
Apply online at https://catalyst.uw.edu/webq/survey/goodreau/367818 (Note: it is essential that you follow the application through to the end and click on “submit responses”; otherwise, we will not receive your application.)
Course website and more information: http://statnet.github.io/nme
Deadline: 04/15/2019
Location: UW Seattle