Monitoring the Health System Saturation Risk During COVID-19 Pandemics - Information Technology in Disaster Risk Reduction Access content directly
Conference Papers Year : 2021

Monitoring the Health System Saturation Risk During COVID-19 Pandemics

Abstract

The pressure on the sanitary system caused by the Covid-19 pandemics put in risk many lives. The unknowns of the pandemic behavior caused problems for a more accurate prediction of the demands for hospitalization and ICU. As a result, two situations were observed: unnecessary expansion of the sanitary system with campaign hospitals and, worse, the saturation of the system with or without expansion. This article proposes the use of a backwards approach to compare the data predicted by a SD model with the real data obtained from the hospitals in the Basque Country. The goal was to calibrate the model to be better prepared for the eventual new wave of infections reducing the risk of collapse or unnecessary response actions to the emergency.
Fichier principal
Vignette du fichier
498235_1_En_22_Chapter.pdf (1.02 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03761620 , version 1 (26-08-2022)

Licence

Attribution

Identifiers

Cite

Sofia García, Leire Labaka, Josune Hernantes, Marcos Borges. Monitoring the Health System Saturation Risk During COVID-19 Pandemics. 5th International Conference on Information Technology in Disaster Risk Reduction (ITDRR), Dec 2020, Sofia, Bulgaria. pp.274-286, ⟨10.1007/978-3-030-81469-4_22⟩. ⟨hal-03761620⟩
13 View
3 Download

Altmetric

Share

Gmail Facebook X LinkedIn More