An agent-based simulation of a Tuberculosis epidemic: Understanding the timing of transmission

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tuberculosis (TB) transmission is a key factor for disease-control policy, but the timing and distribution of transmission and the role of social contacts remain obscure. We develop an agent-based simulation of a TB epidemic in a single population, and consider a hierarchically structured contact network in three levels, typical of airborne diseases. The parameters are adopted from the literature, and the model is calibrated to a setting of high TB incidence. We model the dynamics of transmission at the individual level, and study the timing of secondary infections from a single source throughout the duration of the disease. We compare the patterns of transmission among different networks and discuss implications. Sensitivity analysis of outputs indicates the robustness of the results to variations in the parameter values.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
Pages2227-2238
Number of pages12
DOIs
StatePublished - 2013
Event2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013 - Washington, DC, United States
Duration: Dec 8 2013Dec 11 2013

Other

Other2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
CountryUnited States
CityWashington, DC
Period12/8/1312/11/13

Fingerprint

Tuberculosis
Agent-based Simulation
Timing
Contact
Disease control
Control Policy
Sensitivity analysis
Sensitivity Analysis
Infection
Incidence
Robustness
Output
Model

ASJC Scopus subject areas

  • Modeling and Simulation

Cite this

Kasaie, P., Dowdy, D. W., & David Kelton, W. (2013). An agent-based simulation of a Tuberculosis epidemic: Understanding the timing of transmission. In Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013 (pp. 2227-2238). [6721599] https://doi.org/10.1109/WSC.2013.6721599

An agent-based simulation of a Tuberculosis epidemic : Understanding the timing of transmission. / Kasaie, Parastu; Dowdy, David Wesley; David Kelton, W.

Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013. 2013. p. 2227-2238 6721599.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kasaie, P, Dowdy, DW & David Kelton, W 2013, An agent-based simulation of a Tuberculosis epidemic: Understanding the timing of transmission. in Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013., 6721599, pp. 2227-2238, 2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013, Washington, DC, United States, 12/8/13. https://doi.org/10.1109/WSC.2013.6721599
Kasaie P, Dowdy DW, David Kelton W. An agent-based simulation of a Tuberculosis epidemic: Understanding the timing of transmission. In Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013. 2013. p. 2227-2238. 6721599 https://doi.org/10.1109/WSC.2013.6721599
Kasaie, Parastu ; Dowdy, David Wesley ; David Kelton, W. / An agent-based simulation of a Tuberculosis epidemic : Understanding the timing of transmission. Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013. 2013. pp. 2227-2238
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