請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/45914
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 張睿詒(Ray-E Chang) | |
dc.contributor.author | Shiou–Shi Kuo | en |
dc.contributor.author | 郭筱琪 | zh_TW |
dc.date.accessioned | 2021-06-15T04:48:44Z | - |
dc.date.available | 2015-09-13 | |
dc.date.copyright | 2010-09-13 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-08-03 | |
dc.identifier.citation | Anselin, L. (1988). Spatial econometrics: methods and models, Kluwer Academic Publishers.
Anselin, L., and Rey, S. (1991). 'Properties of tests for spatial dependence in linear regression models.' Geographical analysis 23(1): 12-31. Anselin, L. (1995). 'Local indicators of spatial association-LISA.' Geographical analysis 27: 93-115. Anselin, L. (2002). 'Under the hood : Issues in the specification and interpretation of spatial regression models.' Agricultural Economics 27(3): 247-267. Anselin, L. (2005). Exploring Spatial Data with GeoDa™: A Workbook., University of Illinois, Urbana-Champaign. Armstrong, R. W. (1983). 'Medical Geography.' Advances in Social Science 1: 167-183. Cass, A., Cunningham, J., Snelling, P., Wang, Z. and Hoy, W. (2004). 'Exploring the pathways leading from disadvantage to end-stage renal disease for Indigenous Australians.' Social Science & Medicine 58(4): 767-785. Chen, D. R., and Wen, T.H. (2010). 'Socio-spatial patterns of neighborhood effects on adult obesity in Taiwan: A multi-level model.' Social Science & Medicine 70(6): 823-833. Clarke, K. C., McLafferty,S. L. and Tempalski,B. J. (1996). 'On epidemiology and geographic information systems: a review and discussion of future directions.' Emerg Infect Dis. 2(2): 85-92. Cressie, N. A. C. (1993). Statistics for spatial data, New York: Wiley. Cromley, E. K., and McLafferty, S.L. (2002). GIS and public health, Guilford Press. Fored, C. M., Ejerblad, E., Fryzek, J.P., Lambe, M., Lindblad, P., Nyren, O. and Elinder, C.G.. (2003 ). 'Socio-economic status and chronic renal failure: a population-based case-control study in Sweden.' Nephrol Dial Transplant 18(1): 82-88. Fan, J. Z., Lackland, D.T., Lipsitz, S.R., Nicholas, J.S., Egan, B.M., Tim, G.W., and Hutchison, F.N. (2007). 'Geographical patterns of end-stage renal disease incidence and risk factors in rural and urban areas of South Carolina.' Health & Place 13(1): 179-187. Fotheringham, A. S., Brunsdon,C., and Charlto,M. (2002). Geographically weighted regression: the analysis of spatially varying relationships, Wiley, New York, USA. Fotheringham, A. S., and Rogerson,P. (2009). The SAGE handbook of spatial analysis, SAGE Publications Ld. Foundation, N. K. (2002). 'K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification.' Am J Kidney Dis. 39(Suppl 1): S1-266. Gatrell, A. C., and Bailey, T. C. (1996). 'Interactive spatial data analysis in medical geography.' Social Science & Medicine 42(6): 843-855. Glass, G. E. (2000). 'Update: spatial aspects of epidemiology: the interface with medical geography.' Epidemiol Rev. 22(1): 136-139. Goodchild, M., F., and Donald G.J. (2004). Spatially Integrated Social Science, Oxford University Press. Grassmann, A., Gioberge, S, Moeller, S, and Brown, G. (2005). 'ESRD patients in 2004: global overview of patient numbers, treatment modalities and associated trends.' Nephrol Dial Transplant 20(12): 2587-2593. Green, C., Hoppa, R.D., Young, T.K. and Blanchard, J.F. (2003). 'Geographic analysis of diabetes prevalence in an urban area.' Social Science & Medicine 57(3): 551-560. Guangqing, C., and Zhu,J. (2008). 'Spatial Regression Models for Demographic Analysis.' Population Research and Policy Review 27: 17-42. Hanson, C. E., and Wieczorek, W.F. (2002). 'Alcohol mortality: a comparison of spatial clustering methods.' Social Science & Medicine 55(5): 791-802. Hsu, C. C., Hwang, S.J., Wen, C.P., Chang, H.Y., Chen, T., Shiu, R.S., Horng, S.S., Chang, Y.K., and Yang, W.C. (2006). 'High Prevalence and Low Awareness of CKD in Taiwan: A Study on the Relationship Between Serum Creatinine and Awareness From a Nationally Representative Survey.' American Journal of Kidney Diseases 48(5): 727-738. Hu, Z., Rao K.R. (2009 ). 'Particulate air pollution and chronic ischemic heart disease in the eastern United States: a county level ecological study using satellite aerosol data.' Environ Health. 8(26). Koch, T. (2004). 'The map as intent: variations on the theme of John Snow.' Cartographica 39(4): 1-14. Koch, T. (2005). Cartographies of Disease of Maps, Mapping, and Medicine. Redlands, California, ESRI. Kurland, K. S., and Gorr, W.L. (2007). GIS tutorial for Health, ESRI, Inc. Lei, C. C., Yang, H.F., Lu, L.C., Chang, H.Y., Lee, P.H., and Hsu, Y.C. (2009). 'Regional Variations In The Middle-Aged And Elderly Population With Late-Stage Chronic Kidney Disease: A Community-Based Population Survey In Chiayi County ,Taiwan.' Acta Nephrologica 23(2): 103-109. Lysaght, M. J. (2002). 'Maintenance dialysis population dynamics: current trends and long-term implications.' J Am Soc Nephrol 13(Suppl 1): S37-40. Meade, M. S. (1977). 'Geographical Review.' Medical geography as human ecology: The dimension of population movement 67(4): 380-303. Michael, J. D., Michael, F.G., Longley,P. (2007). Geospatial analysis : a comprehensive guide to principles, techniques and software tools, Leicester : Matador. Mitchell, A. (2005). The ESRI Guide To Gis Analysis Volume 2: Spatial Measurements & Statistics, ESRI Press. Mohsen, R., Dunn G., St Leger S., and Appleby L. (2007). 'Geographical epidemiology, spatial analysis and geographical information systems: a multidisciplinary glossary.' J Epidemiol Community Health 61(2): 98-102. Moore, D. A., and Carpenter, T.E. (1999). 'Spatial analytical methods and geographic information systems: use in health research and epidemiology.' Epidemiol Rev. 21(2): 143-161. Roux, A. V. D. (2001). 'Investigating Neighborhood and Area Effects on Health.' American Journal of Public Health 91(11): 1783-1789. Rytkonen, M. J. (2004). 'Not all maps are equal: GIS and spatial analysis in epidemiology.' Int J Circumpolar Health 63(1): 9-24. Tsai, S. Y., Tseng, H.F., Tan, H.F., Chien, Y.S., Chang, C.C. (2009). 'End-stage renal disease in Taiwan: a case-control study.' J Epidemiol. 9(4): 169-176. Uriel, K., Kazmierczak,J.J. (1997). 'Spatial analysis of the distribution of Lyme disease in Wisconsin.' Am J Epidemiol. 145(6): 558-566. Usami, T., Masahiro,M., Michio,F., Wataru, M., Kinya, S., Nobuo,K., Atsuhiro, Y., and Genjiro,K. (2007). 'Regional Differences in End-Stage Renal Disease and Amount of Protein Intake in Japan.' Journal of Renal Nutrition 17(2): 118-125. USRDS(2009). Atlas of End-Stage Renal Disease. Minneapolis: United States Renal Data System. Verhasselt, Y. (1993). 'Geography of health: some trends and perspectives.' Soc Sci Med. 36(2): 119-123. Ward, M. M. (2008). 'Socioeconomic Status and the Incidence of ESRD.' American Journal of Kidney Diseases 51(4): 563-572. Week, J. R. (2004). The Role of Spatial Analysis in Demographic Research in Spatially Integrated Social Science, New York: Oxford. Wen, C. P., Cheng, T.Y., Tsai, M.K., Chang, Y.C., Chan, H.T., Tsai, S.P., Chiang, P.H., Hsu, C.C., Sung, P.K., Hsu, Y.H. and Wen, S.F. (2008). 'All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan.' Lancet 371(9631): 2173-2182. Wen, T. H., Chen, D.R., Tsai, M.J. (2010). 'Identifying geographical variations in poverty-obesity relationships: empirical evidence from Taiwan.' Geospat Health 4(2): 257-265. Wong, D. W. S., and Lee, J. (2005). Statistical analysis of geographic information with ArcView GIS and ArcGIS, John Wiley & Sons. Yang, W. C., Hwang, S.J.; Taiwan Society of Nephrology. (2008). 'Incidence, prevalence and mortality trends of dialysis end-stage renal disease in Taiwan from 1990 to 2001: the impact of national health insurance.' Nephrol Dial Transplant. 23(12): 3977-3982. Young, E. W., Mauger, Elizabeth A., Jiang, Kai-Hong, Port, Friedrich K. and Wolfe, Robert A. (1994). 'Socioeconomic status and end-stage renal disease in the United States.' Kidney International 45: 907–911. 台灣腎臟醫學會 (2004)。台灣血液透析診療指引. 台北:台灣腎臟醫學會。 行政院衛生署(2010). 98年度死因統計。http://www.doh.gov.tw/cht2006/index_populace.aspx 中央健康保險局(2010)。97年全民健康保險計:重大傷病門診與住院醫療費用申報http://www.nhi.gov.tw/webdata/webdata.asp?menu=1&menu_id=4&webdata_id=3114&WD_ID 李美慧 (2005). 醫學地理的熱門課題「新興傳染病」的研究. 地理學報 ,41: 45-64. 張春蘭 (1984) . 七十一年台灣小兒麻痺症流行的空間差異. 國立台灣大學地理學研究所碩士論文. 歐陽鍾玲 (1994) . 疾病地理研究: 以台灣登革熱為例. 國立台灣師範大學地理學研究所博士論文. 施義雄 (1999) . 台灣地區癌症發生率與環境之相關分析及其地理資訊系統的建構. 中國醫藥學院環境醫學研究所碩士論文. 黃尚志、楊五常、陳秀熙 (2000) . 台灣地區八十八至八十九年度透析評估工作報告. Acta Nephrologica ,14:139-228. 賴進貴、葉高華、陳汶軍 (2005) . 地理資訊系統應用於登革熱疫情防治之檢討與建議. 環境與世界 ,11: 65-81. 范慶龍、賴進貴 (2006) 環境污染與惡性腫瘤空間關係─以癌症地圖之肝癌及肺癌為例 地圖 ,16: 205-220. 張春蘭 (2006) 台灣疾病地圖繪製之研究與發展. 地圖 ,16: 95-108. 張春蘭、劉英毓 (2006) 台灣地理資訊系統於公共衛生之研究與應用. 環境與世界 ,13:57-80. 林明彥、黃尚志 (2007) 台灣慢性腎臟病/末期腎臟病流行病學過去、現在與未來. 腎臟與透析 ,19(1):1-5. 廖勇伯、陳建仁、李文宗、徐書儀 (2003). 台灣地區癌症死亡率與發生率電子地圖的建構及使用. 臺灣公共衛生雜誌 ,22(3): 227-236. 陳建仁、張春蘭、廖勇柏、夏長鳳、黃凱林、王豐裕 (1996). 中華民國癌症死亡率分布地圖集:民國七十一年至八十年. 台北:行政院衛生署. 黃智英、楊郁 (2004). 慢性腎臟病衛教簡介. 台灣腎臟護理學會雜誌 ,3(2):81-87. 胡立諄、賴進貴 (2006). 台灣癌症的空間分析Spatial analysis of cancers in Taiwan. 台灣地理資訊學刊 ,4: 39-55. 林政宏 (2007). 台灣地區登革熱擴散之空間分析. 臺灣大學地理環境資源學研究所 碩士論文. 藺汝平 (2007). 台灣地區腎臟專科醫師對於末期腎臟病患者選擇透析模式的影響因素之看法. 陽明大學醫務管理研究所 碩士論文. 黃信誠 (2000). 空間統計簡介. 自然科學簡訊 ,12(3):101-104. 劉君雅、鄧志松、唐代彪 (2009). 台灣低生育率之空間分析. 人口學刊 ,39:119-155. 謝純瑩、周國屏 (2002). 應用空間自相關分析於人口老化時空變遷之研究. 人口學刊 ,25:91-119. 林傑斌,劉明德 (2002). 地理資訊系統GIS理論與實務. 文魁資訊. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/45914 | - |
dc.description.abstract | 研究背景與動機:世界各國末期腎臟病(End Stage Renal Disease,ESRD)發生率與盛行率逐年增加,根據USRDS 2009年報告指出自2004年開始,台灣在盛行率與發生率皆位居世界第一,且ESRD之醫療保健支出成長6%,至240億美元,佔總體醫療支出5.8%。因此,瞭解影響ESRD發生的因素,已成為政府與社會大眾關切的議題。許多研究顯示ESRD呈現地理分布差異,且地區之環境因素影響ESRD發生率的高低,然而目前台灣於此方面的研究不足,此外,空間分析的發展快速,使研究者得以探索現象的空間特性。因此,本研究目的即利用空間分析方法,瞭解台灣ESRD發生率之地理分布型態是否存在地理差異,並探討影響地理分布差異之地理環境因素。
研究方法:本研究使用1999-2007年全民健康保險申報資料,取得ESRD病患共計62,856人為研究對象。利用Moran’s I和LISA該兩種探索式空間分析方法,描述1999年-2001年、2002年-2004年和2005-2007年三個研究年段之ESRD發生率於台灣359個鄉鎮的分布是否呈現聚集型態,並瞭解不同年段之熱區分布變異。進一步以國家各項統計資料,透過空間迴歸模型分析,瞭解影響因素除了區域之環境因素外,亦可能受鄰近地區的相互影響。 結果:三個研究年段之ESRD發生率之空間分布皆呈現聚集型態。高疾病發生率主要聚集於中南部山地鄉鎮,且自2002-2004年段開始,於中南部沿海地區開始出現高發生率聚集分布。本研究以空間迴歸模型分析,除獲地區之人口組成與醫療服務資源差異影響空間聚集的形成,並存在空間鄰近效應,使得各鄉鎮之ESRD發生率不僅受本身鄉鎮之環境因素影響,亦受其鄰近鄉鎮外溢效應的影響。 結論:本研究結果有助於相關政策針對高發生率群聚地區施行,除能改善地區之健康狀態外,亦可透過空間外溢影響鄰近鄉鎮的健康狀態,提升政策實行的效益。 | zh_TW |
dc.description.abstract | Background: Accroding to USRD 2009 Annual Report, the incidence and prevalence rates of ESRD in Taiwan were the highest around the world. Total Medicare spending for ESRD rose 6 percent—5.8 percent of the entire Medicare budget. Identifying the factors that affect the occurrence of ESRD has become the government and the public concern issue. Previous research has demonstrated that regional variation in incidence of ESRD, and the environment factors impact the incidence. However, studies of this field is still lacking in Taiwan. The objective of this study is to evaluate regional differences in the incidence of ESRD, and identify the risk factors of the environment associated with the geographic variability of ESRD.
Material and Method: The dataset used in this study is from the NHI claims data, a total 62,856 incident patient from 1999-2007 were included. Take advantage of Moran’s I and LISA indicators to exhibit spatial clustering in Taiwan’s 359 townships. Utilizing spatial regression model to identify the regional factors such as demographic, socioeconomic status and medical resource affect the incidence of ESRD. Result: The result has shown that the incidence of ESRD demonstrated a spatial clustering pattern. High incidence of ESRD mainly occurred in central and southern mountain townships. Since the start of the segment in 2002-2004, the clustering area began to appear in central and southern coastal areas. Not only has the area of medical resources and demographic factors but existed neighborhood effect influence the incidence of ESRD. Conclusion: These results will help policies to practice, in addition to improving the health status of regions, the spillover effects can also enhance the effectiveness of policy implementation. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T04:48:44Z (GMT). No. of bitstreams: 1 ntu-99-R97843009-1.pdf: 5049767 bytes, checksum: 98467c302e4b467d9a893834e5c84ffb (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 口試委員審定書 .................................................................................................................. i
致謝 .................................................................................................................................... ii 中文摘要 ............................................................................................................................ iii Abstract ............................................................................................................................. iv 第一章 緒論 ....................................................................................................................... 1 第一節 研究背景 ....................................................................................................... 1 第二節 研究目的 ....................................................................................................... 3 第三節 研究步驟 ....................................................................................................... 4 第二章 文獻探討 ............................................................................................................... 5 第一節 末期腎臟病流行病學趨勢 ........................................................................... 5 第二節 影響末期腎臟病之因素探討 ....................................................................... 8 第三節 醫學地理學 ................................................................................................. 14 第四節 空間分析之應用與理論 ............................................................................. 19 第三章 研究設計與方法 ................................................................................................. 31 第一節 研究對象與研究範圍 ................................................................................. 31 第二節 研究資料與處理 ......................................................................................... 33 第三節 研究方法 ..................................................................................................... 36 第四章 研究結果 ............................................................................................................. 43 第一節 描述性統計 ................................................................................................. 43 第二節 空間單元描述分析 ..................................................................................... 47 第三節 空間自相關分析 ......................................................................................... 64 第四節 空間迴歸模型分析 ..................................................................................... 77 第五章 討論 ..................................................................................................................... 87 第一節 研究結果討論 ............................................................................................. 87 第二節 研究限制 ..................................................................................................... 90 第六章 結論與建議 ......................................................................................................... 91 第一節 研究結論 ..................................................................................................... 91 第二節 研究建議 ..................................................................................................... 92 參考文獻 ........................................................................................................................... 94 | |
dc.language.iso | zh-TW | |
dc.title | 末期腎臟病發生率與地理環境之空間分析 | zh_TW |
dc.title | Geographical Analysis of ESRD Incidence and Environment | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 楊志良(Chih-liang Yaung),洪冠予(Kuan-Yu Hung),溫在弘(Tzai-Hung Wen) | |
dc.subject.keyword | 末期腎臟病,空間自相關,空間迴歸分析,外溢效應, | zh_TW |
dc.subject.keyword | ESRD,spatial autocorrelation,spatial regression analysis,spillover effect, | en |
dc.relation.page | 99 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2010-08-03 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 醫療機構管理研究所 | zh_TW |
顯示於系所單位: | 健康政策與管理研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-99-1.pdf 目前未授權公開取用 | 4.93 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。