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
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