[statnet_help] Network Modeling for Epidemics -- Summer short course at the University of Washington -- 17-21 August, 2020

Steven Goodreau goodreau at uw.edu
Mon Feb 17 19:15:44 PST 2020


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Network Modeling for Epidemics
Summer short course at the University of Washington
17-21 August, 2020

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 17 to Friday, August 21 on
the University of Washington campus in Seattle.

*Costs:*

Course fee is $800. 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 19: Fee-waiver application deadline. Decisions will be made by
Apr 30, and response required by May 15.

*    May 17:  General application deadline. Decisions will be made by
May 31 and a response required by June 15.

*    A waitlist will be established along with rolling admission through
June 30 if space allows.

*Application:*

Apply online at https://catalyst.uw.edu/webq/survey/morrism/385149

Course website and more information: http://statnet.github.io/nme

Please free to share widely!

Note: We will also be teaching this course in Antwerp, Belgium, 7-11
September.  More information can be found here:
https://www.uantwerpen.be/en/summer-schools/modelling-infectious-diseases/

Yours,
Martina Morris, Steve Goodreau and Samuel Jenness

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Steven M. Goodreau / Professor / Dept. of Anthropology
Physical address: Denny Hall M236
Mailing address: Campus Box 353100 / 4216 Memorial Way NE
Univ. of Washington / Seattle WA 98195
1-206-685-3870 (phone) /1-206-543-3285 (fax)
http://faculty.washington.edu/goodreau
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