## Further Information

- For this app, the underlying function running the simulation is called `simulate_heterogeneity.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 more information dealing with host heterogeneity, see e.g. (Beldomenico and Begon 2010, Yorke, Hethcote, and Nold (1978), Lloyd-Smith et al. (2005)).

### References

Beldomenico, Pablo M, and Michael Begon. 2010. “Disease Spread, Susceptibility and Infection Intensity: Vicious Circles?” Trends in Ecology & Evolution 25 (1): 21–27. doi:10.1016/j.tree.2009.06.015.

Lloyd-Smith, J. O., S. J. Schreiber, P. E. Kopp, and W. M. Getz. 2005. “Superspreading and the Effect of Individual Variation on Disease Emergence.” Nature 438 (7066). Department of Environmental Science, Policy; Management, 140 Mulford Hall, University of California, Berkeley, California 94720-3114, USA. jls@nature.berkeley.edu: 355–59. doi:10.1038/nature04153.

Yorke, J. A., H. W. Hethcote, and A. Nold. 1978. “Dynamics and Control of the Transmission of Gonorrhea.” Sex Transm Dis 5 (2). Institute for Physical Science; Technology, University of Maryland, College Park, USA.: 51–56.