ArticleFrontiers in public health2026
Towards efficient AED deployment: a multi-source data-driven geographic information approach.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Out-of-hospital cardiac arrest (OHCA) poses a severe public health challenge, and improving the accessibility of automated external defibrillators (AEDs) is crucial for increasing survival rates. This study introduces a comprehensive spatial deployment strategy for AEDs in metropolitan areas, integrating current status assessment, multi-factor modeling, and phased planning, validated in Shanghai's urban region. Based on Geographic Information System (GIS) software, the current status of AED accessibility was evaluated using two indicators: geographic coverage rate and population coverage rate. Subsequently, a model was constructed by integrating elements of population distribution, medical services, and the urban built environment to determine priority zones for device deployment. 92.022% of the AEDs installed before 2021 were located within the model's recommended installation zones. Based on the model results, a three-phase device deployment plan was proposed. The completion of the first phase of the deployment plan achieved comparable service coverage to the real-world plan with a reduced number of equipment installations and about 10% more population coverage than the real-world plan. The first phase of the deployment plan expanded geographic coverage by 12.135% and increased the population served by 22.267% compared to the pre-2021 scenario. After completion of all three phases of the deployment plan, it will cover 83.653% of the geographic area and 96.486% of the population in the study area. Multi-source data-driven geographic information strategy for AED deployment strategy showed greater efficiency to better support decision makers in improving accessibility of AEDs in metropolitan areas.
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