Study on the quantified indices to describe the distributional status of diseases in the spatial point pattern analysis

To study the quantified indices for describing the distributional status of diseases in the spatial point pattern analysis, and provide the a statistic in disease prevention and control. G function, F function, J function and K function were summarized based on the inter-case distances from the view...

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Published inZhōnghuá yùfáng-yīxué zázhì Vol. 42; no. 6; p. 422
Main Authors Zhang, Zhi-jie, Peng, Wen-xiang, Zhou, Yi-biao, Chen, Geng-xin, Jiang, Qing-wu
Format Journal Article
LanguageChinese
Published China 01.06.2008
Subjects
Epidemiologic Measurements
Models, Statistical
Space-Time Clustering
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Summary:To study the quantified indices for describing the distributional status of diseases in the spatial point pattern analysis, and provide the a statistic in disease prevention and control. G function, F function, J function and K function were summarized based on the inter-case distances from the view of spatial point pattern analysis. Through the introduction of the basic principles, these were used to analyze the data of acute schistosomiasis in the Guichi District, Chizhou City, Anhui province, with the study distances being from 0 to 3000 meters with 50-meter intervals. The findings were also validated by means of spatial moving scan window performed in SaTScan software. A total of 83 cases of acute schistosomiasis identified in Guichi District, and the point map showed that these cases were mainly distributed around the Yangtze and Qiupu rivers. The computational methods and characteristics of the four quantified indices were obtained. These acute schistosomiasis cases were also explored by using these ind
ISSN:0253-9624