Jad El Hage, Patti Gravitt, Jacques Ravel, Nadia Lahrichi
and Erica Gralla
Article (2021)
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| Additional Information: |
S1 File. Modeling assumptions. Details the assumptions used in the model. https://doi.org/10.1371/journal.pone.0255214.s001 (PDF); Data Availability Statement: All data files are available from https://github.com/ravel-lab/COVID_TESTING_DES |
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| Department: | Department of Mathematics and Industrial Engineering |
| Research Center: | CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation |
| Funders: | Gordon and Betty Moore Foundation |
| Grant number: | GBMF9634 |
| PolyPublie URL: | https://publications.polymtl.ca/9361/ |
| Journal Title: | PLOS One (vol. 16, no. 7) |
| Publisher: | PLOS |
| DOI: | 10.1371/journal.pone.0255214 |
| Official URL: | https://doi.org/10.1371/journal.pone.0255214 |
| Date Deposited: | 16 Aug 2023 12:09 |
| Last Modified: | 02 Jun 2026 04:45 |
| Cite in APA 7: | El Hage, J., Gravitt, P., Ravel, J., Lahrichi, N., & Gralla, E. (2021). Supporting scale-up of COVID-19 RT-PCR testing processes with discrete event simulation. PLOS One, 16(7), 19 pages. https://doi.org/10.1371/journal.pone.0255214 |
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