Abstract
This is a companion article to Kasaie and Kelton (2013), and provides an extended discussion on the calibration, analysis, and optimization of an agent-based simulation (ABS) model of an epidemic. The detailed information is presented for the illustrative case of a resource-allocation (RA) problem in the control of an influenza pandemic as described in Section 4 of Kasaie and Kelton (2013). The suggested protocol, however, can be adapted to address other instances of the RA problem in the context of other infectious disease epidemics. Section 1 defines all the parameters and run conditions for the ABS model. In Section 2 we discuss calibration of the RA objective function (DALYs function) and related sensitivity analyses. An investigation of variance reduction for the ABS model is presented in Section 3. A short discussion on application of mixture design and the corresponding triangular output displays for this design is discussed in Section 4. Finally, Section 5 presents the numerical results of the RA problem using a response surface methodology optimization approach.
Original language | English (US) |
---|---|
Pages (from-to) | 94-109 |
Number of pages | 16 |
Journal | IIE Transactions on Healthcare Systems Engineering |
Volume | 3 |
Issue number | 2 |
DOIs | |
State | Published - 2013 |
Externally published | Yes |
Keywords
- Epidemic simulation modeling
- resource allocation
- response-surface methodology
- simulation optimization
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
- Safety, Risk, Reliability and Quality
- Safety Research