• DocumentCode
    2990544
  • Title

    Determinations of low breast screening uptake using geographically weighted regression model

  • Author

    Chen, Chen ; Wang, Yu ; Wan, Huabing ; Cheng, Tao

  • Author_Institution
    Satellite Surveying & Mapping Applic. Centre, Nat. Adm. of Surveying, Mapping & Geoinf., Beijing, China
  • fYear
    2012
  • fDate
    15-17 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In recent years, the overall breast screening uptake rate in South West London is lower than national average figure. It is well acknowledged that population turnover, minutes for travel time to screening units, deprivation and culture factors impact on breast screening uptake from previous research. This paper focuses on the relationship between breast screening uptake and its determinant factors: Index of Multiple Deprivation score in 2007, percentage of African and Muslim, minutes for travel time to nearest breast screening unit in South West London through a traditional global model. Moreover, using a local regression model, Geographically Weighted Regression explores the specific reasons of the low figures of breast screening uptake and examines the most significant variables in each lower supper output area. The Geographically Weighted Regression model is used in testing the spatial dependency and spatial non-stationary of each variable, which reveals the influence across the region uniform or variable.
  • Keywords
    biological organs; cultural aspects; gynaecology; regression analysis; African; Muslim; South West London; culture factor impact; deprivation; geographically weighted regression model; local regression model; low breast screening uptake rate; multiple deprivation score index; traditional global model; variable spatial dependency; variable spatial nonstationary; Breast; Europe; Kernel; Roads; Standards; breast screening; deprivation; ethnic groups; grographically weighted regression; population turnover; travel time; uptake rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2012 20th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-4673-1103-8
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2012.6270323
  • Filename
    6270323