Rapid community-driven development of a SARS-CoV-2 tissue simulator

Yafei Wang; Randy Heiland; Morgan Craig; Courtney L. Davis; Ashlee N Ford Versypt; Adrianne Jenner; Jonathan Ozik; Nicholson Collier; Chase Cockrell; Andrew Becker; Gary An; James A. Glazier; Aarthi Narayanan; Amber M Smith; Paul Macklin

1) Community priorities: The community helps define the driving research questions, definition of the project scope, and selection of critical biological components to be modeled. 2) Consensus hypotheses: The community drives a shared, clearly-written consensus specification of the underlying biological hypotheses. 3) Mathematical modeling: The community helps develop, review and refine the mathematical interpretation of the biological hypotheses. 4) Computational implementation: The computational implementation is shared as open source, with community definition of specifications, unit tests, coding, and code review (via pull requests to the development branch). 5) Community feedback: Community feedback on the model realism, hypotheses, mathematics, computational implementation, and development techniques is encouraged throughout the development process. 6) Community parameter and data: Community contributions of parameter estimates and data contributions are aggregated to assist in model development and constraint. 3 Project scope While by definition the project scope can be refined by the community, the initial project scope is to: