Cardiac Arrest Simulation Using Synthetic Population and Optimization for AED Placement

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K10362
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 58010:Medical management and medical sociology-related
• Research Institution: Osaka University (2023); Kansai University (2020-2022)
• Principal Investigator: Murata Tadahiko 大阪大学, サイバーメディアセンター, 教授 (30296082)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 心停止 / 自動対外式除細動器 / 合成人口データ

Outline of Final Research Achievements

In this research project, we conducted an application study of synthetic population to an optimization problem for Automated External Defibrillator (AED) Placement. Synthetic population is a pseudo data for household members with attributes such as age, sex and income synthesized from publicly distributed statistics. To cope with the difficult situations that 65% of heart attack cases happened in houses, first we considered appropriate AED allocation in Japan. Based on the analysis, we conducted heart attack simulations and consider the optimal allocation of AEDs. We conducted the simulation within a city, then we extended the simulation in a prefecture. We could show the difference in cities in a prefecture by the simulations.

Free Research Field

社会シミュレーション

Academic Significance and Societal Importance of the Research Achievements

本研究成果により，AEDの設置状況に応じたシミュレーションが可能となった．市町村単位のシミュレーションから都道府県単位のシミュレーションに拡大できたことにより，同一県内であっても，協力者の割合によって，救命の効果が異なることがわかった．また，自宅内での心停止事故においては，家族だけでなく，近隣の協力者にAEDの運搬を依頼することにより，救命の可能性があがる10分以内の運搬が達成されやすいことがわかった．その際，近隣の居住者のうち，5%が協力できるだけでも，AEDの運搬の助けになることがわかった．