## Further Information

- For this app, the underlying function running the simulation is called `simulate_idcontrol.R`. You can call this function directly, without going through the shiny app. Check the help file for the function for more information.
- If you call the function directly, you need to process the results returned from this function and produce useful output (such as a plot) yourself.
- You can also modify this R function for your own purposes. To find out how to do that, type `?DSAIDE` at the R console.
- For some additional reading, see e.g. (Klepac et al. 2013, Klepac et al. (2015), Kirsch et al. (2017), Tognotti (2013)).

### References

Kirsch, Thomas D, Heidi Moseson, Moses Massaquoi, Tolbert G Nyenswah, Rachel Goodermote, Isabel Rodriguez-Barraquer, Justin Lessler, Derek A T Cumings, and David H Peters. 2017. “Impact of Interventions and the Incidence of Ebola Virus Disease in Liberia-Implications for Future Epidemics.” Health Policy and Planning 32 (2): 205–14. doi:10.1093/heapol/czw113.

Klepac, Petra, Sebastian Funk, T Deirdre Hollingsworth, C Jessica E Metcalf, and Katie Hampson. 2015. “Six Challenges in the Eradication of Infectious Diseases.” Epidemics 10 (March): 97–101. doi:10.1016/j.epidem.2014.12.001.

Klepac, Petra, C Jessica E Metcalf, Angela R McLean, and Katie Hampson. 2013. “Towards the Endgame and Beyond: Complexities and Challenges for the Elimination of Infectious Diseases.” Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 368 (1623): 20120137. doi:10.1098/rstb.2012.0137.

Tognotti, Eugenia. 2013. “Lessons from the History of Quarantine, from Plague to Influenza a.” Emerging Infectious Diseases 19 (2): 254–59. doi:10.3201/eid1902.120312.