{"title":"基于GIS空间分析技术的H1N1流感空间异质性分析","authors":"Jian-rong Cao, Yanjun Liu","doi":"10.1109/ICMULT.2010.5631070","DOIUrl":null,"url":null,"abstract":"The spatial distribution of disease epidemiology has always been the hotspot and difficulty, information technology and GIS technology have been widely applied in epidemiological studies, along with the continuous deepening of the disease spatial analysis development. In this paper taking H1N1 flu as the research object, given that China and Shandong Province, the number of infections and deaths' data was used in geographic information system software and the statistical software for the spatial analysis. The results showed that: the number of infections and deaths in coastal areas is larger than that in inland multi-region, geographic distribution showed a change distribution trend from south to north and from east to west.","PeriodicalId":412601,"journal":{"name":"2010 International Conference on Multimedia Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis on Spatial Heterogeneity of H1N1 Flu based on GIS Spatial Analysis Technology\",\"authors\":\"Jian-rong Cao, Yanjun Liu\",\"doi\":\"10.1109/ICMULT.2010.5631070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The spatial distribution of disease epidemiology has always been the hotspot and difficulty, information technology and GIS technology have been widely applied in epidemiological studies, along with the continuous deepening of the disease spatial analysis development. In this paper taking H1N1 flu as the research object, given that China and Shandong Province, the number of infections and deaths' data was used in geographic information system software and the statistical software for the spatial analysis. The results showed that: the number of infections and deaths in coastal areas is larger than that in inland multi-region, geographic distribution showed a change distribution trend from south to north and from east to west.\",\"PeriodicalId\":412601,\"journal\":{\"name\":\"2010 International Conference on Multimedia Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Multimedia Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMULT.2010.5631070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Multimedia Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMULT.2010.5631070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis on Spatial Heterogeneity of H1N1 Flu based on GIS Spatial Analysis Technology
The spatial distribution of disease epidemiology has always been the hotspot and difficulty, information technology and GIS technology have been widely applied in epidemiological studies, along with the continuous deepening of the disease spatial analysis development. In this paper taking H1N1 flu as the research object, given that China and Shandong Province, the number of infections and deaths' data was used in geographic information system software and the statistical software for the spatial analysis. The results showed that: the number of infections and deaths in coastal areas is larger than that in inland multi-region, geographic distribution showed a change distribution trend from south to north and from east to west.
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