Modeling hospital logistics capacity through system dynamics during the COVID-19 pandemic: case of Pasco Healthcare Network in Peru
No hay miniatura disponible
Fecha
2024
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Elsevier
Nombre de Curso
Licencia CC
Attribution-NonCommercial-NoDerivatives 4.0 International
Licencia CC
Resumen
The present investigation, whose main objective is based on modeling the hospital logistics capacity in the Pasco Healthcare Network (Peru) through Systems Dynamics during the first and second wave of the appearance of the SARS-COVid-2 virus, oriented towards a study in the capacity to respond to the most intense health emergency in recent decades. In the first instance, the reality of the studied system was made known, which was possible thanks to the information provided by the actors that make up the hospital logistics capacity, sources uploaded to the WHO worldwide. Afterwards, we proceeded to characterize the variables that make up the system, prioritizing each of these through the application of a structural analysis that measured the levels of influence between one variable and another. Because of this, we proceeded to create the causal diagram, and likewise facilitate the inclusion of the network model through the Stella software. Once the model has been simulated, the results obtained are reported.
Notas
TEXTO COMPLETO EN INGLÉS
Palabras clave
System dynamics, Structural analysis, Logistic capacity, Causal diagram
Citación
Procedia Computer Science, Volume 238, 2024, Pages 1042-1047
DOI
https://doi.org/10.1016/j.procs.2024.06.132