pc4covid19/pc4covid19: COVID19 (SARS-CoV-2) tissue simulator nanoHUB app
Year: 2020
Type: software
Abstract: pc4covid19 - COVID19 tissue simulator nanoHUB app Version: 2.1 - uses the core model at https://github.com/pc4covid19/COVID19/releases/tag/0.2.1 Release date: 26 April 2020 Overview This repository contains code and data for the nanoHUB app https://nanohub.org/tools/pc4covid19. Here, we primarily report on changes to the app's GUI. It is based on the model at https://github.com/pc4covid19/COVID19. Refer to that repository for a summary of changes to the model. Caveats and disclaimers: This model is under active development using rapid prototyping: It has not been peer reviewed. It is intended to drive basic scientific research and public education at this stage. It cannot be used for public policy decisions. It cannot be used for individual medical decisions. This model will be continually refined with input from the community, particularly experts in infectious diseases. The validation state will be updated as this progresses. Release summary: 2.1: Sync up with the version number of the published app, https://nanohub.org/tools/pc4covid19, and include a reference to the version of the core model in this README. 2.0: The major change to the GUI in this release is the addition of an 'Animate' tab. This allows animation of cells (not substrates) in the tab and the generation of a .mp4 video that can be downloaded. The animation uses the cells' SVG files. 1.0: Provides a "standard" PhysiCell-based Jupyter notebook GUI consisting of 5 tabs: About: a description of the model and the app Config Basics: input parameters common to all models (e.g., domain grid, simulation time, choice/frequency of outputs) Microenvironment: microenvironment parameters that are model-specific User Params: user parameters that are model-specific Out: Plots: output display of cells and substrates
Authors: Heiland, Randy, Macklin, Paul
Institution: Indiana University
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6912436419