使用地理加权回归模型确定低乳腺筛查吸收率

Cheng Chen, Yu Wang, Huabing Wan, T. Cheng
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引用次数: 1

摘要

近年来,伦敦西南部的总体乳房筛查率低于全国平均水平。众所周知,从以往的研究来看,人口流动、到筛查单位的旅行时间、贫困和文化因素都会影响乳房筛查的吸收。本文重点研究了乳腺筛查摄取与其决定因素之间的关系:2007年多重剥夺指数得分,非洲人和穆斯林的百分比,通过传统的全球模型到达伦敦西南部最近的乳腺筛查单位的旅行时间分钟。此外,使用局部回归模型,地理加权回归探讨了乳腺筛查摄入量低的具体原因,并检查了每个较低输出区域中最重要的变量。利用地理加权回归模型检验各变量的空间依赖性和空间非平稳性,揭示跨区域均匀或变量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinations of low breast screening uptake using geographically weighted regression model
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.
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