During the COVID-19 pandemic period, it is often necessary to hospitalize a patient positive for the virus and in serious health conditions in suitable hospitals. The difficulty in managing these emergencies arises from the fact that it is often not possible to know which is the nearest hospital with beds available for hospitalization of the COVID-19 patients. In this work, we present a GIS application based on a relational database that allows to determine an optimal path for the patient transport from a starting point to the nearest hospital with free places for hospitalization. The developed application reduces the patient's transport time, decreasing the exposure time of the medical staff in the ambulance in contact with the positive patient. The application was developed in the urban area of Catania where hospitals gather a large pool of users and therefore it is essential to have a system that in real-time provides the available beds and thus optimize the distribution of COVID-19 positive patients who need an admission to a hospital.

A GIS Application for the Hospitalization of COVID-19 Patients

Mussumeci G.
Ultimo
2022-01-01

Abstract

During the COVID-19 pandemic period, it is often necessary to hospitalize a patient positive for the virus and in serious health conditions in suitable hospitals. The difficulty in managing these emergencies arises from the fact that it is often not possible to know which is the nearest hospital with beds available for hospitalization of the COVID-19 patients. In this work, we present a GIS application based on a relational database that allows to determine an optimal path for the patient transport from a starting point to the nearest hospital with free places for hospitalization. The developed application reduces the patient's transport time, decreasing the exposure time of the medical staff in the ambulance in contact with the positive patient. The application was developed in the urban area of Catania where hospitals gather a large pool of users and therefore it is essential to have a system that in real-time provides the available beds and thus optimize the distribution of COVID-19 positive patients who need an admission to a hospital.
2022
978-3-031-06824-9
978-3-031-06825-6
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3287852
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact