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[stem-dev] Notes from STEM community call January 12, 2 017

Notes from the STEM Community Call on Thursday, January 12, 2017

 

On the call: Jamie Kaufman, Stefan Edlund, Kun Hu, Chris Thoens, Taras Guenther, Nereyda Sevilla, Ted Lin Hu, Chris Przbyszewski, Judy Douglas

 

NEXT CALL: Thursday, February 2, 2017

 

Welcome to two new participants, Chris Przybyszewski, corporate vice president, and Ted Ling Hu, Biomedical Informatics Analyst, from US Biologic, a social innovation company focused on preventing disease 

 

1. STEM 3.0.0 Milestone 4 up 11/13/2016: Stefan

*Milestone doesn’t include bug fix on UI

*02/02/2017: Milestone 5 will include, metadata on bug fixes will also be updated

 

2. Updates: Kun

*In Singapore, presented to Minister of Health, issued invitation to Almaden

*In Panama, will work 3 weeks with CDC like agency to develop mobile app for disease surveillance

 

3. Disease models 

*Ebola with zoonotic reservoir: Simone Bianco has paper coming out

*Zika model: Kun Hu reports queries on forum; new paper with compartment model

 

4. Work at BfR: Taras

*Parameterized simulations: issue with disease deaths/population; perhaps build workaround? Chris Thoens will help; model inherits compartments, not transitions; Taras will test two approaches to model

*Triggering interventions: difficulty setting; emf problem resolved (see bugs)

*External data initializers: thanks to Emily Nixon, UK, for her work and documentation

*New batch experiment: updated by Taras and Matthias

 

6. Bugs

*STEM won’t build (?): query from chojunki@xxxxxxxxxxxxxxx in Korea; no details, unsure as to nature

*New emf bug: fixed

 

6. Items from participants

*Ted and Chris, US Biologic, Lyme Disease Presentation: Using coated pellet vaccine in wild mice; plan  to use STEM to better predict disease expansion and locate acre by acre for optimal application; hope to develop partnerships, mentorships, international outreach; presentation sent via stem.dev, see online

*Nereyda: planning to do comparison of finite difference and stochastic solvers; working with FAA on air travel as disease vector; per Jamie, may want to try a real integration solver

*Taras: other issues with changing parameters in batch experiments; using Monte Carlo simulation, resetting Ro after every 1000 simulations; per Jamie, may want to look at work fish farm industry did with salmon anemia virus calculating radius at which Ro would fall below 1; per Jamie, need better understanding of problem, will take discussion offline 

 

 


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