000019959 001__ 19959
000019959 005__ 20170118182348.0
000019959 04107 $$aeng
000019959 046__ $$k2017-01-09
000019959 100__ $$aTakayama, Jyunichi
000019959 24500 $$aAnalysis of Degree of Regional Health Considering Disaster Risks

000019959 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000019959 260__ $$b
000019959 506__ $$arestricted
000019959 520__ $$2eng$$aIn Japan, a lot of natural disasters are expected to occur such as typhoon, heavy snowfall, flood, sediment disaster, earthquake, tsunami and volcanic eruption. Problems that Japan has includes the super aging society. The aging of Japan progressed to the world at speed not to watch an example and invited super aging society in 2007. With it, people in need of long-term care increase. Such examples people with special needs to disaster suffered from by natural disaster occur frequently, and it is found by natural disaster that we find security, the relief of these people. At disaster, it is expected that people who are behind with evacuating increase. In considering the disaster prevention measures of our country, we cannot ignore distribution of people with special needs to disaster in the future. Research results on dealing with the elderly and people with disabilities as people with special needs to disaster has been done, but research results on dealing with diabetic patients, artificial dialysis patients, and psychiatric and neurological disease patients as people with special needs to disaster has not been done. No studies to understand the distribution of people with special needs to disaster using National Health Insurance database (KDB). In this study, using National Health Insurance database (KDB), we clarify distribution of the patient according to each disease and clarify distribution of people in need of longterm care. I grasp the place where the elderly and people in need of long-term care live in by these analyses and a kind suffering from of illness and consider it from the viewpoint of medical care to future disaster prevention measures. In this study, we analyzed about people in need of long-term, patients requiring high medical costs, and artificial dialysis patients using the data of the National Health Insurance database (KDB). By using National Health Insurance database (KDB), we visualized addresses of people in need of long-term level three or more care, diabetic patients, psychiatric and neurological disease patients, and artificial dialysis patients in Nanto City on GIS. Furthermore, by using the J-SHIS Map, we visualized the distribution of seismic intensity (JMA-scale), which is 2% in 50 years exceedance probability in Nanto City on GIS. Instrumental seismic intensity, which is 2% in 50 years exceedance probability in Nanto City are distributed from seismic intensity upper 5 to seismic intensity 7 (JMA-scale), seismic intensity is greater in the north of Nanto City. Although there is little place of seismic intensity 7 (JMA-scale) in Nanto City, most of people with special needs to disaster are living in places where seismic intensity upper 6 (JMA-scale). It was found that the proportion of those who are living in close from the main medical institutions in people with special needs to disaster is high. It is important to clarify for each residence shelters for each residence because major medical institutions are built close together in Nanto City.

000019959 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000019959 653__ $$aNational Health Insurance database (KDB), super aging society, disaster prevention measures, medical care, senior citizen

000019959 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000019959 720__ $$aTakayama, Jyunichi$$iNakayama, Shoichiro$$iTamamori, Yuya$$iFujiu, Makoto
000019959 8560_ $$ffischerc@itam.cas.cz
000019959 8564_ $$s1310408$$uhttps://invenio.itam.cas.cz/record/19959/files/4808.pdf$$yOriginal version of the author's contribution as presented on USB, paper 4808.
000019959 962__ $$r16048
000019959 980__ $$aPAPER