Optimizing a Drone Network to Respond to Opioid Overdoses
نویسندگان
چکیده
Introduction: Effective out-of-hospital administration of naloxone in opioid overdoses is dependent on timely arrival naloxone. Delays emergency medical services (EMS) response time could potentially be overcome with drones to deliver efficiently the scene for bystander use. Our objective was evaluate a mathematical optimization simulation geographical placement drone bases reducing overdose.Methods: Using retrospective data from single EMS system January 2016–February 2019, we created geospatial drone-network model based current technological specifications and potential base locations. Genetic then used maximize county coverage by number covered per base. From this model, identified locations that minimize required.Results: In network 2,327 overdoses, as modeled increased calculated decreased. geospatially optimized four bases, compared ambulance reduced 4 minutes 38 seconds 64.2% county.Conclusion: our analysis found optimization, implementing reduce 9–1–1 calls overdoses. Therefore, theoretically improve delivery.
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ژورنال
عنوان ژورنال: Western Journal of Emergency Medicine
سال: 2023
ISSN: ['1936-900X', '1936-9018']
DOI: https://doi.org/10.5811/westjem.59609