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Simulation Model of the Effect of the COVID-19 Biosecurity Protocol in the Queues for the Return to Face-to-Face Classes.
Coronado-Hernández, Jairo Rafael; Ibáñez, Samir Francisco Umaña; Gatica, Gustavo; Rodríguez, Mónica Acuña.
  • Coronado-Hernández JR; Universidad de la Costa CUC. Barranquilla, Colombia.
  • Ibáñez SFU; Universidad de la Costa CUC. Barranquilla, Colombia.
  • Gatica G; Universidad Andres Bello Universidad de Santiago de Chile.
  • Rodríguez MA; Universidad de la Costa CUC. Barranquilla, Colombia.
Procedia Comput Sci ; 220: 904-908, 2023.
Article in English | MEDLINE | ID: covidwho-2293648
ABSTRACT
This article presents a simulation model of the effect of the COVID-19 Biosafety protocol in the Queues for the return to face-to-face classes as a basis for the return of educational activities. The restrictive measures to face the COVID-19 pandemic, greatly affected the normality of the development of activities carried out in higher education, constituting a great challenge since the measures and conditions of return and access to institutions are different from what was previously carried out before the pandemic. The objective of this article is to carry out a simulation of queues through SIMIO (Logistics process simulation software), where the number of students expected per day and the average entry times are taken into account to adjust them to an exponential distribution, from this information loaded into the simulation it is They will determine if the times increase or decrease taking into account the theory of queues and conditions presented in the study such as the probability distribution of the times of each of the processes involved in the process of accessing the University facilities.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Procedia Comput Sci Year: 2023 Document Type: Article Affiliation country: J.procs.2023.03.123

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Procedia Comput Sci Year: 2023 Document Type: Article Affiliation country: J.procs.2023.03.123