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Application of Geostatistics to Investigate Spatial Distribution of Respiratory Disease in Taiwan

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(5) 96. 25% (. ) (. ). (. (. ). (. ). ) (SD. 33.9. 37.9 km). (SD. ( (. 42.4. 45.1 km). ) ). GIS [23,24] [21]. [25]. GIS 88. GIS. 90 [26-35]. [20] SARS. ( ) Lai 2003. SARS [23]. GIS GIS. 1. Ricketts TC. Geographic information systems and public health. An Rev Public Health 2003;24:1-6.. [22]. 2. Jenks RH, Malecki JM. GIS-A proven tool for public health analysis. J Environ Health 2004;67:32-4.. .. 3. Roche LM, Skinner R, Weinstein RB. Use of a. [10]. geographic information system to identify and characterize areas with high proportions of distant stage.

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(8) 99. Application of Geostatistics to Investigate Spatial Distribution of Respiratory Disease in Taiwan, 1999~2001 1,2,3. Wen-Miin Liang. 1. 1. 3. , Meng-HungLin , Tai-Chin Wu , Che-Wei Hsu1, Yan-Tzong Cheng , 1,3. Hsien-Wen Kuo 1 3. 2. Graduate Institute of Environmental Health, Biostatistics Center,. Department of Public Health, China Medical University, Taichung, Taiwan.. Purpose. To explore the spatial distribution of disease in Taiwan using geostatistical indicators. Methods. Data regarding deaths from pneumonia and bronchitis-related diseases from 1999 to 2001 among 363 townships were obtained from the Department of Health; the registered population dataset was provided by the Ministry of the Interior. In the spatial analysis, the magnitude of mortality was divided into five levels on graduated maps using GIS. High risk townships were defined as those having a mortality rate in the top 25%. Taiwan was divided into four areas: north, south, east and west. For each area, the mean center and standard distance between the highest risk townships for each disease were calculated. Results. The high risk areas of pneumonia were clustered in the central and southern areas (especially in Kaohsiung and Pingtung). The high risk areas of bronchitis were distributed evenly throughout Taiwan. The geostatistical mean center in each area showed that the central tendency of the high risk areas of mortality for the two diseases was not consistent. However, the standard distance showed that the high risk areas of pneumonia were more concentrated than those of bronchitis. Conclusion. Geostatistics provides understanding about the distribution of and spatial correlation between diseases, and can be used to better determine potential environmental risk factors. ( Mid Taiwan J Med 2007;12:92-9 ). Key words geostatistics indices, geographic information systems, mortality, respiratory disease. Received : 7 November 2006.. Revised : 25 August 2006.. Accepted : 6 March 2007. Address reprint requests to : Hsien-Wen Kuo, Department of Public Health, College of Public Health, China Medical University, 91 Hsueh-Shih Road, Taichung 404, Taiwan..

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Including government health establishments such as public health centres and Medical Check-up Centre for Civil Servants, and private clinics including establishments of health

Including government health establishments such as public health centres and Medical Check-up Centre for Civil Servants, and private clinics including establishments of health

Including government health establishments such as public health centres and Medical Check-up Centre for Civil Servants, and private clinics including establishments of health

Including government health establishments such as public health centres, Medical Check-up Centre for Civil Servants, etc., and private clinics including establishments of health

Including government health establishments such as public health centres, Medical Check-up Centre for Civil Servants, etc., and private clinics including establishments of health