결핵 발병의 공간불평등 다층모형분석: 경상북도를 대상으로
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 임창민 | - |
dc.contributor.author | 김영호 | - |
dc.date.accessioned | 2021-12-06T19:42:14Z | - |
dc.date.available | 2021-12-06T19:42:14Z | - |
dc.date.created | 2021-08-31 | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 2465-8014 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/129917 | - |
dc.description.abstract | Objectives: This study aims to identify the spatial inequality of tuberculosis (TB) and related socio-environmental factors in Gyeongsangbuk-do, Korea. Methods: This study explains TB incidences in a spatial perspective. A spatial multilevel regression model was applied to account for the spatial inequality of TB and related factors. Applied socio-environmental factors were average age, population density, Normalized Difference Built-up Index (NDBI), particulate matter (PM10), medical insurance, financial independence rate, and medical doctors per 1,000 people. Results: This study finds evident spatial inequality of TB in Gyeongsangbuk-do. Most TB hotspots are identified around Yeongyang-gun, the area with the lowest socio-economic status in Korea. The regression result shows that level 1 factors (Average age, NDBI, PM10) and level 2 factors (medical insurance, financial independence rate) were statistically significant related to TB incidences. Furthermore, spatial filtering applied to multilevel regression accounts for spatial autocorrelation of TB incidence. Conclusions: Regional socio-economic and demographic conditions in Gyeongsangbuk-do influence TB incidences. Given low expectations on Gyeongsangbuk-do’s socio-economic and demographic growth, reducing the spatial inequality of TB would be challenging. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 한국보건정보통계학회 | - |
dc.title | 결핵 발병의 공간불평등 다층모형분석: 경상북도를 대상으로 | - |
dc.title.alternative | Spatially Filtered Multilevel Analysis on Spatial Inequality of Tuberculosis in Gyeongsangbuk-do, Korea | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 김영호 | - |
dc.identifier.doi | 10.21032/jhis.2021.46.1.88 | - |
dc.identifier.bibliographicCitation | 보건정보통계학회지, v.46, no.1, pp.88 - 99 | - |
dc.relation.isPartOf | 보건정보통계학회지 | - |
dc.citation.title | 보건정보통계학회지 | - |
dc.citation.volume | 46 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 88 | - |
dc.citation.endPage | 99 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002692315 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Tuberculosis | - |
dc.subject.keywordAuthor | Spatial inequality | - |
dc.subject.keywordAuthor | Spatial distribution | - |
dc.subject.keywordAuthor | Hotspot analysis | - |
dc.subject.keywordAuthor | Spatially filtered multilevel analysis | - |
dc.subject.keywordAuthor | . | - |
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