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Analysis Of The Spatial Clustering Of Hepatitis C In My Country And Its Comparison With The Spatial And Temporal Distribution Of HIV/AIDS

Posted on:2020-04-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y GaoFull Text:PDF
GTID:2434330575498043Subject:Epidemiology and Health Statistics
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Objective:1.Describe the distribution of hepatitis C in China from 2012 to 2017,then reveal the epidemiological characteristics of hepatitis C epidemic;2.Analyze the clustering characteristics of hepatitis C epidemic in China from 2012 to 2017,and conduct research on the ecological level to detect the impact of social environmental factors on the distribution of hepatitis C epidemic;3.Compare the spatial and temporal distribution of hepatitis C and HIV/AIDS epidemic in China and their correlations,and analyze the similarities and differences between the two diseases in China.Methods:Use the hepatitis C case data from 2012 to 2017 in the disease surveillance information report management system of the China Disease Prevention and Control Information System,and the HIV/AIDS case data from 2012-2017 National AIDS/Sexually Transmitted/Hepatitis C Integrated Prevention Data Information Annual Report Data,as well as data from the statistical yearbooks of 31 provinces,autonomous regions,and municipalities in China,and sociodemographic indicators in the National Economic and Social Development Statistical Bulletin in 2016.Then perform the following analysis:1.Descriptive statistics were used to analyze the distribution of hepatitis C cases in China from 2012 to 2017.2.Through the spatial methods such as spatial autocorrelation and spatial regression,to analyze the temporal and spatial distribution characteristics and influencing factors of hepatitis C reported cases in China from 2012 to 2017.3.The correlation between the cases of hepatitis C and HIV/AIDS reported in China from 2012 to 2017 was analyzed by Spearman correlation analysis,linear regression and geographic weighted regression analysis.Results:1.All the 31 provinces have reported hepatitis C cases.During 2012 to 2017,although the total number of cases of hepatitis C cases reported nationwide is relatively stable each year,there are still large changes in the reporting situation at the county level:Northeast China,especially Heilongjiang and Jilin provinces,hepatitis C The number of case reports showed a decreasing trend.The counties with more than 100 cases of hepatitis C reported in Xinjiang,Qinghai,and Inner Mongolia,Hebei,Henan,Hubei,and Hunan in the northwestern region showed a trend of increasing slowly over the past five years.2.Global Moran's I analysis and high-low value clustering(Getis-Ord General G)analysis suggest that there is a positive correlation between the number of reported hepatitis C cases in the county level in 2012-2017,which means there is aggregation,especially high values.Anslin Local Moran's I analysis and hotspot analysis suggest that there are aggregate/hot spot areas in China at the county level in 2012-2017.Cases of hepatitis C report cases are mainly concentrated in the northwest,southeast coast,central and southwest;.And the hepatitis C epidemic spread from Henan and Guangdong to the central region in 2012.By 2017,the hotspots will extend to Shanxi,Henan,Jiangsu,Anhui,Hubei,Hunan,Guangdong,Guangxi,and Hainan.The hotspot area is distributed;the number of reported cases of hepatitis C in other areas is randomly distributed.3.The results of spatial error model(SEM)analysis indicate that in 2016,China's hepatitis C epidemic and permanent population,urbanization rate,rural areas resident disposable income and number of medical and health institutions were correlated and the differences was statistically significant(P<0.05).4.There was a positive correlation between the number of cases of hepatitis C and HIV/AIDS reported in each year and province in 2012-2017(Spearman correlation coefficient r,were 0.512,0.561,0.569,0.576,0.606,and 0.640),and the differences was statistically significant(P<0.05).At the same time,the r,and the time of the number of reported cases of hepatitis C and HIV/AIDS in different provinces were linearly distributed,and the r,value increased with time.Geographically weighted regression analysis suggested a spatial correlation between the number of cases of hepatitis C and HIV/AIDS reported cases.Conclusion:1.The number of reported cases of hepatitis C in China in 2012-2017 has a significant tendency to accumulate of high values in time and space.In local areas,there are both high-value and low-value aggregation phenomena.The high value/hot spot gathering area is mainly concentrated in the counties with relatively poor economic development in some provinces in the northwest,northeast and east central regions.2.Spatial error model analysis indicates that the resident population,urbanization rate,disposable income of rural residents,and medical care The number of institutions has an impact on the hepatitis C epidemic.3.The number of reported cases of hepatitis C and HIV/AIDS is similar in the top provinces in the country.There is spatial correlation between the two diseases,and the correlation coefficient value rises slowly with time,and the correlation changes with time.
Keywords/Search Tags:Hepatitis C, HIV/AIDS, Spatial autocorrelation analysis, Influencing factor, Correlation analysis
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