|
Digital
Library of the European Council for Modelling and Simulation |
Title: |
Discrete Event Simulation Of The COVID-19 Sample Collection Point
Operation |
Authors: |
Martina Kuncova, Katerina Svitkova, Alena Vackova, Milena Vankova |
Published in: |
(2021). ECMS 2021,
35th Proceedings DOI: http://doi.org/10.7148/2021 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-72-2 Communications of the ECMS , Volume 35, Issue 1, June 2021, United Kingdom |
Citation
format: |
Martina Kuncova,
Katerina Svitkova, Alena Vackova, Milena Vankova (2021). Discrete
Event Simulation Of The COVID-19 Sample Collection Point Operation, ECMS 2021 Proceedings Edited By: Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela European Council for Modeling and Simulation. doi: 10.7148/2021-0102 |
DOI: |
https://doi.org/10.7148/2021-0102 |
Abstract: |
The year 2020
was very challenging for everyone due to the COVID-19 pandemic. Many people
turn their lives upside down from day to day. Politicians had to impose
completely unprecedented measures, and doctors immediately had to adapt to
the huge influx of patients and the massive demand for testing. Of course, not
all processes could be planned completely efficiently, given that the
situation literally changes from minute to minute, but sometimes better
planning could improve the real processes. This contribution deals with the
application of simulation software SIMUL8 to the analysis of the COVID-19
sample collection process in a drive-in point in a hospital. The main aim is
to create a model based on the real data and then to find out the suitable
number of other staff (medics) helping a doctor during the process to
decrease the number of unattended patients and their waiting times. |
Full
text: |