• DocumentCode
    2526668
  • Title

    Analysis of lung cancer gender differences and age structure in the high prevalence areas of Xiamen

  • Author

    Wang, Cuiping ; Li, Xinhu ; Dai, Long ; Zhang, Guoqin ; Gao, Liling ; Zhao, Qianjun

  • Author_Institution
    Key Lab. of Urban Environ. & Health, Chinese Acad. of Sci., Xiamen, China
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    154
  • Lastpage
    159
  • Abstract
    The incidence rate and mortality of lung cancer continuously rise, and lung cancer is one of the leading causes of cancer death deaths. Detecting the high prevalence areas of lung cancer can effectively provide clue for detecting its influential factors. Taking the incidence rate of lung cancer in Xiamen as an example, this paper adopted Moran´s I and Getis´s G statistics to detect global correlation characteristics and hot spot areas of the incidence rate of lung cancer based on street (town) scale and district scale. And the incidence rate of lung cancer in different gender and ages were analysed in hot spot areas. The result shows that spatial correlation characteristics of the incidence rate of lung cancer based on district scale are not obvious, and spatial correlation characteristics of the incidence rate of lung cancer based on street (town) scale are obvious, and the hot spot areas of the incidence rate of lung cancer are detected. Another result shows that the incidence rate of lung cancer in different gender and ages is different in different hot spot areas. The conclusion is that it is very important to select a proper spatial scale for the research of the incidence rate of lung cancer. And the main age groups of lung cancer are 50~59 years old, 60~69 years old and 70~79 years old, and lung cancer incidence of men is higher than women.
  • Keywords
    biology computing; cancer; gender issues; Xiamen; age structure; cancer deaths; lung cancer gender differences; lung cancer incidence rate; mortality; spatial correlation characteristics; Cancer; Cities and towns; Correlation; Diseases; Lungs; Time series analysis; Urban areas; Xiamen; age structure; exploratory spatial analysis; hot spot areas; lung cancer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
  • Conference_Location
    Fuzhou
  • Print_ISBN
    978-1-4244-8352-5
  • Type

    conf

  • DOI
    10.1109/ICSDM.2011.5969023
  • Filename
    5969023