Spatial Regression-Based Environmental Analysis in Infectious Disease Informatics

被引：0

作者：

Zeng, Daniel D. ^{[1
,2
]}

Yan, Ping ^{[1
]}

Li, Su ^{[3
]}

机构：

[1] Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA

[2] Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China

[3] Beijing Technol & Business Univ, Beijing, Peoples R China

来源：

BIOSURVEILLANCE AND BIOSECURITY, PROCEEDINGS | 2008年 / 5354卷

关键词：

Environmental analysis; infectious disease informatics; spatial regression;

D O I：

暂无

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Studying relationships between environmental factors and infectious diseases is an important topic in public health research. The existing studies have been focused on temporal correlations among environmental risks and infectious disease outbreaks. In this paper, we advocate the importance of spatial data analysis in infectious disease-related environmental analysis. Using data from the Beijing CDC, we have conducted spatial regression analysis to study correlation between Measles occurrences and the following environmental factors: population density and proximities to railways, roads, and water systems. We report some preliminary findings concerning significant spatial autocorrelation identified from our analysis.

引用

页码：175 / +

页数：3

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