• DocumentCode
    2712159
  • Title

    Spatial analysis of Influenza A H1N1 and evaluation of risk factors in Changsha City based on GIS

  • Author

    Jiang, Sha ; Zhang, Jing ; Jin, Jia ; Zhang, Dapeng ; Wang, Tun

  • Author_Institution
    Key Lab. of 3D Inf. Acquisition & Applic. of Minist. of Educ., Capital Normal Univ., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Most traditional epidemiological studies are based on the statistical analysis rather than spatial information. Therefore, the study combining spatial analysis with epidemiology is a promising and perspective field. This paper, based on the technology of GIS, the method of disease mapping and traditional statistics, is focus on the spatial data of influenza A virus subtype H1N1. A spatial database of H1N1 flu in Changsha and the map of incidence rate are established to analyze the cause formation of accumulation areas combining with the spread characteristics. After spatial risk factors are explored, results show that these risk factors are correlated to incidence rate of H1N1 flu in Changsha. It has a huge significance to check out specific situation about Changsha region so as to provide more effective and protective measures though the scientific research method.
  • Keywords
    cellular biophysics; diseases; geographic information systems; health care; microorganisms; statistical analysis; visual databases; Changsha City; GIS; H1N1 flu; disease mapping; influenza A H1N1; protective measurement; scientific research method; spatial analysis; spatial database; statistical analysis; traditional epidemiology; traditional statistics; Cities and towns; Correlation; Educational institutions; Geographic Information Systems; Influenza; Interpolation; Kernel; GIS; H1N1; spatial analysis; spatial risk factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981050
  • Filename
    5981050