• 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