| Simulation: | Uniform time course, simulated with tellurium 2.2.8, model encoded in SBML |
|---|---|
| Citation: | Henrique Mohallem Paiva, Rubens Junqueira Magalhães Afonso, Igor Luppi de Oliveira & Gabriele Fernandes Garcia. A data-driven model to describe and forecast the dynamics of COVID-19 transmission. PLOS ONE 15, 7 (2020). |
To improve your experience with BioSimulations, we use cookies to store information about your preferences and to track your use of the site. This information does not identify you personally or preserve personal information about you. This allows us to improve the site and gather usage information for funding and development. Because we respect your right to privacy, you can opt-out of this data.
BioSimulations collects limited personal data to credit authors and improve the platform. By using this site, you agree to our terms of service, privacy policy, and use of cookies.
