| Project/Area Number |
22F21725
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 外国 |
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| Review Section |
Basic Section 25010:Social systems engineering-related
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| Research Institution | The University of Tokyo |
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| Host Researcher |
貞広 幸雄 東京大学, 大学院情報学環・学際情報学府, 教授 (10240722)
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| Foreign Research Fellow |
WANG SIQIN 東京大学, 大学院情報学環・学際情報学府, 外国人特別研究員
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| Project Period (FY) |
2022-04-22 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 2022: ¥1,200,000 (Direct Cost: ¥1,200,000)
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| Keywords | vulnerability / health care |
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| Outline of Research at the Start |
疫病が大規模に発生した場合，人々の健康を確保する手法の検討を行う．まず第一に，疫病等の蔓延に対して脆弱な地域の検出を行う．個人の社会経済的属性，衛生状態，気候条件，交通条件等の変数を空間データとして整備し，GISに投入，種々の空間解析手法を用いて，地域の脆弱性を定量的に評価する．次に，脆弱な地域への接近性を表す新たな指標群を開発する．ここでは特に，ネットワーク空間上の移動を念頭に置き，接近性をネットワーク空間上の移動に基づいて評価する．指標を開発した後，その妥当性を実際のアクセスの現状と照合することで検証する．最後に，構築した仕組みをGISの中に実装し，システムとして利用可能な状態を実現する．
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| Outline of Annual Research Achievements |
I delineated the vulnerable neighbourhoods with low healthcare access and further evaluated the disparity in healthcare access and built environment of areas at different levels of vulnerability. The outcome datasets and findings provide nuanced and timely evidence to government and health authorities to have a holistic and latest understanding of social vulnerability to COVID-19 and healthcare access at a fine-grained level.
I founds that low healthcare access areas appear in the peri-urban space between the 23-special-ward region and the Tama region, in the south of South Tama and the majority of West Tama where is less covered by public transit. Compared to the adult group, the elderly group experiences significant inequity of healthcare access particularly in the peri-urban areas where driving is the dominant transport mode to access healthcare facilities.
I found that Twitter-identified suicide risks and actual suicide records were temporally correlated by month in the 10 years from 2013 to 2022 (correlation coefficient=0.533; P<.001); this correlation coefficient is higher at 0.652 when we advanced the Twitter-identified suicide risks 1 month earlier to compare with the actual suicide records. These 2 indicators were also spatially correlated by city with a correlation coefficient of 0.699 (P<.001) for the 10-year period. Among the 267 cities with the top quintile of suicide risks identified from both tweets and actual suicide records, 73.5% (n=196) of cities overlapped.
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| Research Progress Status |
令和4年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
令和4年度が最終年度であるため、記入しない。
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