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The Distribution And Factors Of Hepatitise In China Based On The Spatio-Temporal Analysis

Posted on:2015-02-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y N YuFull Text:PDF
GTID:2284330431993424Subject:Physical geography
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China is suffering from serious problems in hepatitis, Hepatitis A and Hepatitis B are the two main hepatitis in our country. The research data in recent years shows that with the hepatitis B and hepatitis A vaccine applied to our state newborns, the risk of Hepatitis A and Hepatitis B in our country is getting under control and also decreasing. At the same time, the harm of hepatitis E slowly emerges and becomes an important public health problem in China. So correctly understanding the spatial distributional characteristics and influencing factors of hepatitis E has great significance to develop effective preventive measures.Firstly, this study establishes the hepatitis E spatial attribute database, which has includes the inflectional number of hepatitis E、population and China electronic map inside, covering the data of morbidity of hepatitis E in6years in31provinces, municipalities and autonomous regions in mainland from2005to2010through using the software as arcGI、GeoDa、Excel etc. Secondly, it studies the spatial clustering of hepatitis E infection, with the spatial autocorrelation analysis by using GeoDa space statistics software. Thirdly, in order to further confirm the scope of the cluster, space-time scan statistics software (SaTScan) is applied to determine the cold and hot spots of the disease, at the same time to estimate the risk. Finally, this study does some spatial regression analysis on the incidence and geographical factors of hepatitis E by SPSS software, investigate causes of hepatitis E from the perspective of geography, as to provide theoretical basis and new idea for the prevention of hepatitis E in ChinaThrough analysis and research, the following conclusions are drawn:Global Moran’s I index suggests, the indexs of Moran’s I in six years were all above zero, which means that all of them are positive correlation, presenting a high-high aggregation and low-low aggregation pattern. Local Moran’s Ii, Moran scatter plot and LISA accumulation figure show, although the incidence of hepatitis E in some areas over the6years has some changes, while on the whole high value and high neighbor distributions are more than common in east China, in Western inland is almost distributions of low value and low neighbor. A study on hot spots with space scan statistics, whose result tallies with the LISA accumulated figure. From2005to2010, the hepatitis E hot spots were mainly in the eastern coastal areas. Those hot spots not only develop from multiple hotspots to single hotspot, but also increase in scope. It means that, Hepatitis E infection develops from the distribution of scattered dotted to continuous massive one, and the situation is becoming more serious. Using risk assessment to predict the trend of hot spots, it is concluded that high risk value showed a trend of declination in our country, however, low risk is on the rise. Combining global Moran index, the agglomeration of Hepatitis E risk was weakening trend, it means with the passing of time, the agglomeration of national hepatitis E high risk will fade, implying that the incidence area represents a trend of expanding. Based on the spatial regression model of spatial lag model (SLM), some regression analysis is done with Hepatitis E infection and geographical factors, The results show that, Hepatitis E infection was positively correlated with residents’ consumption level and industrial sewage discharge, but negatively correlated with sewage discharge.
Keywords/Search Tags:E Viral Hepatitis, Spatial Autocorrelation, Space Scan Statistics, Spatial Regression
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