Abstract
The present COVID-19 brief report addresses: (1) the problem of optimal design and resource allocation to mobile testing stations to ensure rapid results to the persons getting tested; (2) the proposed solution through a newly developed discrete event simulation model, experienced in on-campus saliva-based testing stations at the University of Illinois at Urbana-Champaign; and (3) the lessons learned on how 10,000 samples (from noninvasive polymerase chain reaction COVID-19 tests) can be processed per day on campus, as well as how the model could be reused or adapted to other contexts by site managers and decision makers.
Original language | English (US) |
---|---|
Pages (from-to) | 151-152 |
Number of pages | 2 |
Journal | Simulation in Healthcare |
Volume | 16 |
Issue number | 2 |
DOIs | |
State | Published - Apr 1 2021 |
Keywords
- Discrete event simulation
- resource allocation
- resource efficiency
- optimization
- testing stations
- COVID-19
ASJC Scopus subject areas
- Education
- Epidemiology
- Medicine (miscellaneous)
- Modeling and Simulation