本文選題：糖尿病 + 空間自相關(guān)分析�。� 參考：《新疆醫(yī)科大學(xué)》2015年碩士論文

【摘要】：目的:本研究運(yùn)用地理信息系統(tǒng)技術(shù),了解新疆糖尿病的地理分布情況,分析糖尿病的高發(fā)地區(qū)和低發(fā)地區(qū),從而探討地區(qū)糖尿病的聚集性問(wèn)題,為新疆糖尿病的空間分布情況提供數(shù)據(jù)支持,為該地區(qū)公共衛(wèi)生政策的制定和糖尿病的防控提供理論依據(jù),也可以為同類研究提供參考。方法:采用新疆維吾爾自治區(qū)疾病與防治中心慢性病科提供的新疆地區(qū)2014年糖尿病患病數(shù)據(jù),并獲得1:100萬(wàn)的新疆地區(qū)矢量地圖,在Excel中輸入各地區(qū)的代碼、發(fā)病數(shù)據(jù),并把Excel文件轉(zhuǎn)變成可供使用的shp格式的地理屬性文件,對(duì)其進(jìn)行全局空間自相關(guān)分析、局部空間自相關(guān)分析和空間回歸分析,上述方法均使用ArcGIS10.1軟件和GeoDaTM0.9.5i軟件完成。結(jié)果:1.2014年新疆地區(qū)糖尿病登記人數(shù)為318704例,患病率為142.74/萬(wàn)。新疆94個(gè)縣(市、區(qū))全局型Moran’s I指數(shù)為0.232558,Z值為8.2932,P0.001,Moran’s I指數(shù)大于0,且有統(tǒng)計(jì)學(xué)意義,說(shuō)明2014年糖尿病患病率在新疆各區(qū)域內(nèi)的分布呈聚集性分布,具有明顯的正向空間自相關(guān)性。2.全局G統(tǒng)計(jì)量分析結(jié)果顯示,新疆94個(gè)縣(市、區(qū))糖尿病患病率的全局型G統(tǒng)計(jì)值為0.1242,Z值為3.1015,P值0.001925(P0.01),新疆全區(qū)域內(nèi)糖尿病患病率的分布不僅存在聚集性,而且存在高值聚集區(qū)。3.局域型Moran’s I結(jié)果顯示,局部Moran’s I值有統(tǒng)計(jì)學(xué)意義的區(qū)域有33個(gè)縣(市、區(qū)),其中為負(fù)值且有統(tǒng)計(jì)學(xué)意義的區(qū)域有6個(gè)縣(市、區(qū))表現(xiàn)為負(fù)相關(guān)性,值最低的區(qū)域?yàn)榘⒗仗┑貐^(qū)的福�？h,聚集類型為“高-低”和“低-高”,其余27個(gè)區(qū)域的自相關(guān)性表現(xiàn)為正相關(guān)性,局部Moran’s I值較高的地區(qū)為塔什庫(kù)爾干塔吉克自治縣等區(qū)域,聚集類型為“高-高”和“低-低”。4.局域型G統(tǒng)計(jì)結(jié)果:將2014年新疆地區(qū)糖尿病患病率進(jìn)行局部G統(tǒng)計(jì)量分析,結(jié)果中Z(Gi)值為正值的且有統(tǒng)計(jì)學(xué)意義的區(qū)域有49個(gè)縣(市、區(qū)),其中最大值為4.9832(庫(kù)爾勒市),Z(Gi)界于2.0012~4.9832。這些區(qū)域形成高患病率的聚集區(qū)域,稱為熱點(diǎn)區(qū)域。Z(Gi)值為負(fù)值且有統(tǒng)計(jì)學(xué)意義的地區(qū)有21個(gè)縣(市、區(qū)),其中Z(Gi)最小的為-4.3567(阿克陶縣),這些區(qū)域形成低患病率的聚集區(qū)域,稱為冷點(diǎn)區(qū)域。5.空間歸回分析結(jié)果:通過(guò)空間滯后模型發(fā)現(xiàn),人均地區(qū)生產(chǎn)總值對(duì)新疆各縣(市、區(qū))糖尿病的患病率有影響,人均地區(qū)生產(chǎn)總值高的地區(qū),糖尿病的患病率也高,而死亡率和少數(shù)民族比例與糖尿病未見(jiàn)有明顯的關(guān)系。結(jié)論:1.新疆94縣(市、區(qū))2014年糖尿病的分布具有明顯的正向空間自相關(guān)性,呈聚集性分布。2.新疆各縣區(qū)內(nèi)糖尿病患病率的分布存在高值聚集區(qū)和低值聚集區(qū),對(duì)高值聚集地區(qū)應(yīng)采取預(yù)防措施,著重控制危險(xiǎn)因素。在低值聚集區(qū)域應(yīng)該及時(shí)發(fā)現(xiàn)控制疾病的有利因子,為疾病預(yù)防工作提供指導(dǎo)作用。3.新疆各縣(市、區(qū))2014年糖尿病的患病率分布的高低與人均地區(qū)生產(chǎn)總值水平有關(guān),人均地區(qū)生產(chǎn)總值高的地區(qū)糖尿病的患病率也高。研究結(jié)果顯示了新疆糖尿病患病率的空間分布規(guī)律,為糖尿病的綜合性防治措施的有效實(shí)施提供了理論依據(jù)。
[Abstract]:Objective: To study the geographical distribution of diabetes in Xinjiang, analyze the geographical distribution of diabetes, analyze the high incidence area of diabetes and low hair area, and discuss the problem of the accumulation of diabetes in the region, provide data support for the spatial distribution of diabetes in Xinjiang, the formulation of public health policy and the prevention of diabetes in this area. Control provides theoretical basis, and can also provide reference for similar studies. Methods: using the data of diabetes prevalence in the Xinjiang area of the Xinjiang Uygur Autonomous Region disease and prevention center of the Xinjiang Uygur Autonomous Region in 2014, and obtaining the vector map of Xinjiang area in the region of Xinjiang, input the code of all regions in the region, the data of the disease, and the transformation of the Excel files into the data. The geographic attribute files of the available SHP format were used to carry out global spatial autocorrelation analysis, local spatial autocorrelation analysis and spatial regression analysis. The above methods were all completed by ArcGIS10.1 software and GeoDaTM0.9.5i software. Results: the number of diabetes registrants in Xinjiang area was 318704 cases in 1.2014 years, the prevalence rate was 142.74/ million. 94 in Xinjiang. The county (city, district) global Moran 's I index is 0.232558, Z is 8.2932, P0.001, Moran' s I index is more than 0, and has statistical significance. It shows that the distribution of diabetes prevalence in Xinjiang region in 2014 is aggregated distribution, and there is obvious positive spatial autocorrelation.2. global G statistic results show that 94 counties (cities, districts) of Xinjiang. The statistical value of the global G for the prevalence of diabetes was 0.1242, the Z value was 3.1015, the P value 0.001925 (P0.01), the distribution of the prevalence of diabetes in the whole region of Xinjiang was not only aggregable, but the.3. local Moran 's I in the high value aggregation region showed that there were 33 counties (cities and regions) in the region of local Moran' s I. There are 6 counties (cities and districts) with negative correlation in the region of statistical significance. The lowest value area is Fuhai County in Aletai area, the type of "high low" and "low high", the other 27 regions have positive correlation, and the region with high local Moran 's I value is the region of Tajik Tajik Autonomous County and so on. The aggregated type of "high to high" and "low to low".4. local G statistical results: the prevalence of diabetes in Xinjiang in 2014 was analyzed by local G statistics. The results showed that there were 49 counties (cities, districts) with positive and statistically significant Z (Gi) values in the region with the maximum value of 4.9832 (Korla), and Z (Gi) boundary in these regional forms. There are 21 counties (cities and regions) in the area of high incidence of high prevalence, called the negative.Z (Gi) value and statistically significant, of which Z (Gi) is the smallest -4.3567 (aktao county), which forms a low prevalence area of aggregation, known as the result of the.5. space return analysis in the cold point region: the per capita area is found through the spatial lag model, and the per capita area is found. The prevalence of diabetes in all counties (cities and districts) in Xinjiang has an impact on the prevalence of diabetes. The prevalence of diabetes is also high in areas with high GDP per capita, and there is no significant relationship between the mortality and the proportion of ethnic minorities with diabetes. Conclusion: the distribution of diabetes in the 94 counties (cities and districts) of 1. in 2014 has obvious positive spatial autocorrelation in the distribution of diabetes in 2014. The distribution of the prevalence of diabetes in the districts of.2. Xinjiang county is high value aggregated area and low value aggregated area. The prevention measures should be taken to control the risk factors in high value aggregated areas. In the low value aggregated area, the favorable factors to control the disease should be found in time to provide guidance for the disease prevention and prevention work in the counties of Xinjiang (cities, cities, cities, cities, and counties). The prevalence of diabetes in 2014 is related to the level of per capita GDP, and the prevalence of diabetes in areas with high GDP per capita is also high. The results of the study show the spatial distribution of the prevalence of diabetes in Xinjiang, which provides a theoretical basis for the effective implementation of the comprehensive prevention and control measures of diabetes.
【學(xué)位授予單位】：新疆醫(yī)科大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：R587.1
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本文編號(hào)：2061326