Out-of-Hospital Cardiac Arrest (OHCA) has been identified as a significant public health issue in China. Numerous studies have demonstrated that using automated external defibrillators (AEDs) can significantly improve the survival rate of OHCA patients, but their low utilization rate is partly due to the accessibility of AED deployment sites. This study collects the location information of AED devices in three representative cities in China: Beijing, Shanghai, and Shenzhen and then combines the kilometer population grid data (2021) with the AED geographic location data for visualization and data analysis through QGIS and Kepler.GL. Our model considers population distribution, subway, and road traffic factors and proposes a new method for AE...
Background Floating catchment methods have recently been applied to identify priority regions for Au...
Aim Approximately 424,000 out-of-hospital cardiac arrests (OHCA) occur in the US annually. As automa...
Background: Mathematical optimization can be used to plan future AED placement to maximize out-of-ho...
AimApproximately 424,000 out-of-hospital cardiac arrests (OHCA) occur in the US annually. As automat...
PurposeIn major cities, optimal distribution of automatic external defibrillators (AED) has long bee...
In out-of-hospital cardiac arrests (OHCAs), the use of an automatic external defibrillator (AED) by ...
Background: Mathematical optimisation models have recently been applied to identify ideal Automatic ...
Objectives Early defibrillation in out-of-hospital cardiac arrest (OHCA) is of importance to improve...
Introduction In out-of-hospital cardiac arrests (OHCA), the use of an automatic external defibrillat...
Background: Out-of-hospital cardiac arrests (OHCA) is one of the leading causes of mortality in the ...
Background—Geospatial methods using mathematical optimization to identify clusters of cardiac arrest...
Background Floating catchment methods have recently been applied to identify priority regions for Au...
Aim Approximately 424,000 out-of-hospital cardiac arrests (OHCA) occur in the US annually. As automa...
Background: Mathematical optimization can be used to plan future AED placement to maximize out-of-ho...
AimApproximately 424,000 out-of-hospital cardiac arrests (OHCA) occur in the US annually. As automat...
PurposeIn major cities, optimal distribution of automatic external defibrillators (AED) has long bee...
In out-of-hospital cardiac arrests (OHCAs), the use of an automatic external defibrillator (AED) by ...
Background: Mathematical optimisation models have recently been applied to identify ideal Automatic ...
Objectives Early defibrillation in out-of-hospital cardiac arrest (OHCA) is of importance to improve...
Introduction In out-of-hospital cardiac arrests (OHCA), the use of an automatic external defibrillat...
Background: Out-of-hospital cardiac arrests (OHCA) is one of the leading causes of mortality in the ...
Background—Geospatial methods using mathematical optimization to identify clusters of cardiac arrest...
Background Floating catchment methods have recently been applied to identify priority regions for Au...
Aim Approximately 424,000 out-of-hospital cardiac arrests (OHCA) occur in the US annually. As automa...
Background: Mathematical optimization can be used to plan future AED placement to maximize out-of-ho...