DocumentCode :
3262210
Title :
Statistical approach in determination of Tuberculosis spatial pattern
Author :
Norman, Masayu ; Manaf, Ahmad Fathil Mubashshir Abd ; Ghazali, Noorzalianee ; Mohamad, Zuraihan
Author_Institution :
Dept. of Surveying Sci. & Geomatics, Univ. Teknol. Mara Perlis, Arau, Malaysia
fYear :
2011
fDate :
12-13 July 2011
Firstpage :
235
Lastpage :
238
Abstract :
Tuberculosis remains to be one of the health problems in the world and especially in Malaysia. The disease has become a serious threat to the national community health because of its ability to spread epidemically. This study, which was done in Shah Alam, Selangor using GIS application to identify the geographical distribution and the trend of Tuberculosis from 2005 to 2007. GIS and spatial statistical analysis are the most rigorous and potential tools for analyzing the magnitude of this problems. The analytical methods chosen for conducting the study include the Mean Center and Standard Deviational Ellipse, which is using to examine the spatial pattern and the distribution of the disease. In this study, the statistical approaches have been used in order to prove the spatial pattern which is compared with the graphical results that presented by the ArcGIS software. This paper is intending to describe the analyses on Tuberculosis cases of Shah Alam for the years 2005 to 2007.
Keywords :
diseases; geographic information systems; statistical analysis; ArcGIS software; GIS application; disease; geographical distribution; mean center ellipse; spatial statistical analysis; standard deviational ellipse; statistical approach; tuberculosis spatial pattern; Cities and towns; Diseases; Geographic Information Systems; Global Positioning System; Government; Information systems; Pattern analysis; Geographical Information System (GIS); Tuberculosis; point pattern analysis; statistically calculation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Space Science and Communication (IconSpace), 2011 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-0563-2
Electronic_ISBN :
978-1-4577-0562-5
Type :
conf
DOI :
10.1109/IConSpace.2011.6015890
Filename :
6015890
Link To Document :
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