dismolib is an interactive library for simulating the numerical outcomes of published mathematical epidemiology models including two types of COVID-19 models!
For a disease model in this library, you can:
- Vary the parameters
- Simulate the time course
- Perform stability analysis
- And so much more..
Get Started!
- Select a disease in the
Models
tab
- Understand the flowchart
- Explore the health states/compartments by clicking on Species
- Explore the parameters by clicking on Global Quantities
- Run a Task like Time Course or Stability Analysis
- Download the model as a COPASI (.cps) or an SBML (.xml) file to make changes
- Read more about each model and its analysis in
Documentation
tab
- Download COPASI to create your own models
Models included:
dismolib provides you with coded and calibrated compartmental models for the following diseases:
![plot of chunk 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)
This web-based interface uses Shiny package in R, the framework from shinyCOPASI and CoRC (a high-level R API for COPASI).
Team
Team members from Biocomplexity Institute and Initiative, University of Virginia
- [Mugdha Thakur](https://biocomplexity.virginia.edu/person/mugdha-thakur)
- [Baltazar Espinoza](https://biocomplexity.virginia.edu/person/baltazar-espinoza)
- [Brian Klahn](https://biocomplexity.virginia.edu/person/brian-klahn)
- [Stefan Hoops](https://biocomplexity.virginia.edu/person/stefan-hoops)
- [Madhav Marathe](https://biocomplexity.virginia.edu/person/madhav-marathe)
Funding
The following listed grants supported the development of this project
- National Institutes of Health (NIH) Grant R01GM080219
- NIH Grant R01GM109718
- CINES National Science Foundation (NSF) Grant OAC-1916805
- Virginia Department of Health COVID-19 Modeling Program VDH-21-501-0135
- NSF Expeditions in Computing Grant CCF-1918656, CCF-1917819
- NSF RAPID Award No. CCF-2142997
- DTRA subcontract/ARA S-D00189-15-TO-01-UVA
For model editing and more extensive exploration of various tasks, please download latest release of COPASI stand-alone program.
Click here to learn more about CoRC, the COPASI R Connector, to run COPASI models using R.
Click here to learn more about shinyCOPASI.
Click here to find the GitHub repository of dismolib containing disease files and the link to the documentation.
Contact us at mat3kk@virginia.edu for requests for other diseases, featuring your COPASI disease model and any errors.