SIMIODE

In this project, students explore oncolytic virotherapy using systems of differential equations and numerical simulations. The first activity guides the students in simulating the dynamics between the uninfected cancer cells x(t), the oncolytic virus-infected cancer cells y(t),  and the oncolytic viruses v(t); the model consists of three differential equations. The second activity builds upon the previous model and guides the students in exploring the dynamics between x(t), y(t), v(t), and the immune system cells z(t); the model consists of four differential equations. The numerical simulation uses a Python code administered via an internet-based environment called Glow Script.

Researchers should cite this work as follows:

• Iordanka Panayotova; Maila Hallare (2021), "6-017-S-OncolyticViruses," https://www.simiode.org/resources/8471.

  BibTex | EndNote

1. cancer-immune dynamics
2. differential
3. graph
4. immune suppressor drug
5. nonlinear
6. numerical
7. oncolytic virus
8. Python
9. system
10. virotherapy