Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement.
<h4>Aims</h4>To determine the out-of-hospital cardiac arrest (OHCA) rates and occurrences at municipality level through a novel statistical model accounting for temporal and spatial heterogeneity, space-time interactions and demographic features. We also aimed to predict OHCAs rates and...
Main Authors: | Angelo Auricchio, Stefano Peluso, Maria Luce Caputo, Jost Reinhold, Claudio Benvenuti, Roman Burkart, Roberto Cianella, Catherine Klersy, Enrico Baldi, Antonietta Mira |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0238067 |
Similar Items
-
Perceived threats and challenges experienced by first responders during their mission for an out-of-hospital cardiac arrest
by: Enrico Baldi, et al.
Published: (2023-06-01) -
Out-of-hospital cardiac arrests and mortality in Swiss Cantons with high and low COVID-19 incidence: A nationwide analysis
by: Enrico Baldi, et al.
Published: (2021-06-01) -
Impact of sex and role of coronary artery disease in out-of-hospital cardiac arrest presenting with refractory ventricular arrhythmias
by: Maria Luce Caputo, et al.
Published: (2023-04-01) -
Association Between Postresuscitation 12‐Lead ECG Features and Early Mortality After Out‐of‐Hospital Cardiac Arrest: A Post Hoc Subanalysis of the PEACE Study
by: Francesca Romana Gentile, et al.
Published: (2023-05-01) -
Perioperative Management of Patients with Cardiac Implantable Electronic Devices and Utility of Magnet Application
by: Tardu Özkartal, et al.
Published: (2022-01-01)