Indoor space, where humans spend 80% of their lives, is subject to frequent out-of-hospital
cardiac arrest (OHCA). Optimizing the spatial deployment of automated external …

Automated external defibrillators (AEDs) are portable devices that defibrillate and diagnose
sudden-cardiac-arrest patients. Therefore, AEDs are widely installed in public places such …

Background—Geospatial methods using mathematical optimization to identify clusters of
cardiac arrests and prioritize public locations for defibrillator deployment have not been …

Background Mathematical optimisation models have recently been applied to identify ideal
Automatic External Defibrillator (AED) locations that maximise coverage of Out of Hospital …

With over 350,000 cases occurring each year, out-of-hospital cardiac arrest (OHCA) remains
a severe public health concern in the United States. The correct and timely use of automated …

Immediate treatment with an automated external defibrillator (AED) increases out‐of‐
hospital cardiac arrest (OHCA) patient survival potential. While considerable attention has …

Background Floating catchment methods have recently been applied to identify priority
regions for Automated External Defibrillator (AED) deployment, to aid in improving Out of …

Abstract Background: Automated external defibrillators (AEDs) are often placed in areas of
low risk and limited temporal availability. Mathematical optimization can improve AED …

Background The occurrence of out-of-hospital cardiac arrest (OHCA) is a critical life-
threatening event which frequently warrants early defibrillation with an automated external …

Aims Mathematical optimization of automated external defibrillator (AED) placements has
the potential to improve out-of-hospital cardiac arrest (OHCA) coverage and reverse the …