SIMIODE

This project offers students a chance to make policy recommendations based on the analysis of models using both linear (exponential decay) and non-linear (logistic growth) differential equations. The scenario is based on the deployment of the United States Army's 62nd Engineer Battalion to West Africa in the fall of 2014. During this deployment the primary medical threat to Soldiers was malaria. It is up to the student to model and evaluate two methods of malaria prevention, malaria chemoprophylaxis and mosquito population control, and make recommendations to their commander.

Researchers should cite this work as follows:

• David Culver (2016), "1-024-S-MalariaControl," https://simiode.org/resources/1750.

  BibTex | EndNote

1. decision
2. differential
3. disease
4. euler
5. exponential
6. Huen's method
7. Improved Euler
8. linear
9. logistic
10. long
11. malaria
12. nonlinear
13. numerical
14. pharmacokinetic
15. policy
16. population
17. US Army