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
Link To Document :
بازگشت