Abstract
This paper describes a stochastic implementation of Austin et al.'s (1999) model of the spread of antibiotic resistance in a population of fixed size under varying conditions of antibiotic use. The population is divided into sub-groups: individuals colonized by commensal bacteria and an uncolonized group. The colonized group is further divided according to whether the commensal bacteria are sensitive or resistant to antibiotics. This study uses Monte Carlo techniques to model the dynamics of the evolution of the antibiotic resistant population, a study that cannot be done in the original model. The Monte Carlo approach allows the investigation of the transient dynamics of the spread of resistance, the effects of finite (especially small) populations and the interaction of model parameters.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE Conference on Evolutionary Computation, ICEC |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1152-1159 |
| Number of pages | 8 |
| Volume | 2 |
| Publication status | Published - 2000 |
| Externally published | Yes |
| Event | Proceedings of the 2000 Congress on Evolutionary Computation - California, CA, USA Duration: 16 Jul 2000 → 19 Jul 2000 |
Other
| Other | Proceedings of the 2000 Congress on Evolutionary Computation |
|---|---|
| City | California, CA, USA |
| Period | 16/07/00 → 19/07/00 |