ArticleComputational and mathematical methods in medicine2014
Optimal installation locations for automated external defibrillators in Taipei 7-Eleven stores: using GIS and a genetic algorithm with a new stirring operator.
Article in Computational and mathematical methods in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Public-Access Defibrillation in Megacities: Structural Barriers and Systemic Opportunities in Shanghai, China.Risk management and healthcare policy · 2026Article
- Identifying optimal locations for automated external defibrillators (AED) in Freiburg: development and validation of a machine learning model based on demographic and infrastructural data.BMC emergency medicine · 2025Article
- Strategic PAD positioning: a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- Gaps in Public Access Defibrillation: Analysis of International Legislation.JACC. Advances · 2025Article
- Out-of-Hospital Cardiac Arrest Ambulance Delay Zones and AED Placement in a Southern Brazilian City.International journal of environmental research and public health · 2025Article
- Optimal deployment of automated external defibrillators in a long and narrow environment.PloS one · 2023Article
- Effect of topography and weather on delivery of automatic electrical defibrillator by drone for out-of-hospital cardiac arrest.Scientific reports · 2021Article
- Walking Route-Based Calculation is Recommended for Optimizing Deployment of Publicly Accessible Defibrillators in Urban Cities.Journal of the American Heart Association · 2020Observational
- Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone.The western journal of emergency medicine · 2018Article
- Article
- Spatial decision on allocating automated external defibrillators (AED) in communities by multi-criterion two-step floating catchment area (MC2SFCA).International journal of health geographics · 2016Article
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2 authors.
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Abstract
Immediate treatment with an automated external defibrillator (AED) increases out-of-hospital cardiac arrest (OHCA) patient survival potential. While considerable attention has been given to determining optimal public AED locations, spatial and temporal factors such as time of day and distance from emergency medical services (EMSs) are understudied. Here we describe a geocomputational genetic algorithm with a new stirring operator (GANSO) that considers spatial and temporal cardiac arrest occurrence factors when assessing the feasibility of using Taipei 7-Eleven stores as installation locations for AEDs. Our model is based on two AED conveyance modes, walking/running and driving, involving service distances of 100 and 300 meters, respectively. Our results suggest different AED allocation strategies involving convenience stores in urban settings. In commercial areas, such installations can compensate for temporal gaps in EMS locations when responding to nighttime OHCA incidents. In residential areas, store installations can compensate for long distances from fire stations, where AEDs are currently held in Taipei.
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