Hospitalization forecast to inform COVID-19 pandemic planning and resource allocation using discrete event simulation

Hospitalization forecast to inform COVID-19 pandemic planning and resource allocation using discrete event simulation

Purpose: This study aims to address the pressing need for accurate forecasting of healthcare resource demands during the COVID-19 pandemic. It presents a novel approach that combines a stochastic Markov model and a discrete event simulation model to dynamically predict hospital admissions and daily...

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Bibliographic Details
Main Authors: Philip Erick Wikman-Jorgensen, Angel Ruiz, Vicente Giner-Galvañ, Jara Llenas-García, José Miguel Seguí-Ripoll, Jose María Salinas Serrano, Emilio Borrajo, José María Ibarra Sánchez, José P. García-Sabater, Juan A. Marin-Garcia
Format: Article
Language:English
Published: OmniaScience 2024-02-01
Series:Journal of Industrial Engineering and Management
Subjects:
covid-19, resource allocation, hospitalization forecast, planning, management, incidence, mathematical model, discrete event simulation
Online Access:https://www.jiem.org/index.php/jiem/article/view/6404

Internet

https://www.jiem.org/index.php/jiem/article/view/6404

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