Epidemiological modeling in StochSS Live!

Epidemiological modeling in StochSS Live!

Richard Jiang, Bruno Jacob, Matthew Geiger, Sean Matthew, Bryan Rumsey, Prashant Singh, Fredrik Wrede, Tau-Mu Yi, Brian Drawert, Andreas Hellander, Linda Petzold

We present StochSS Live!, a web-based service for modeling, simulation, and analysis of a wide range of mathematical, biological and biochemical systems. Using an epidemiological model of COVID-19, we demonstrate the power of StochSS Live! to enable researchers to quickly develop a deterministic or a discrete stochastic model, infer its parameters, and analyze the results. StochSS Live! is freely available at https://live.stochss.org/. Available at https://github.com/StochSS/Covid19_Modeling.

2021

10.1093/bioinformatics/btab061

Bioinformatics (Oxford, England)