Overlapping cancer service areas: Delineation and implications

IF 2.1 3区 地球科学 Q2 GEOGRAPHY
Changzhen Wang, Tracy Onega, Fahui Wang
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引用次数: 0

Abstract

Prior research has defined cancer service areas (CSAs) anchored by major cancer centers in the U.S., such as members of the Association of American Cancer Institutes (AACI). Those CSAs have discrete boundaries and may not capture the increasingly interwoven cancer care markets. This is the first attempt to delineate possible overlapping CSAs. Specifically, we integrate the concept of shared memberships and other spatial attributes into the Speaker‐Listener Label Propagation (SLPA) algorithm, termed the spatially constrained SLPA (or ScSLPA), and apply it to six representative areas in the U.S. The results show that overlapping CSAs tend to form in areas that are more urbanized, with higher localization index (LI) values, larger populations, and shorter travel times than discrete CSAs. Two CSAs in Los Angeles and San Diego are consistent with the catchment areas (CAs) of the National Cancer Institute (NCI)‐designated cancer centers, and other CSAs are much smaller than the CAs of their anchoring cancer centers. The study has important implications for public health policy to advance cancer control and prevention efforts.
重叠的癌症服务领域:划分和影响
先前的研究已经定义了以美国主要癌症中心(如美国癌症研究所协会 (AACI) 成员)为中心的癌症服务区 (CSA)。这些 CSA 的边界是不连续的,可能无法捕捉到日益相互交织的癌症治疗市场。这是首次尝试划分可能重叠的 CSA。具体来说,我们将共享成员的概念和其他空间属性整合到了说话者-听众标签传播(SLPA)算法中,称为空间约束 SLPA(或 ScSLPA),并将其应用于美国的六个代表性地区。结果表明,与离散 CSA 相比,重叠 CSA 倾向于在城市化程度较高、本地化指数(LI)值较高、人口较多且旅行时间较短的地区形成。洛杉矶和圣地亚哥的两个 CSA 与美国国家癌症研究所(NCI)指定的癌症中心的集水区(CA)一致,而其他 CSA 则比其所在癌症中心的集水区小得多。这项研究对推进癌症控制和预防工作的公共卫生政策具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transactions in GIS
Transactions in GIS GEOGRAPHY-
CiteScore
4.60
自引率
8.30%
发文量
116
期刊介绍: Transactions in GIS is an international journal which provides a forum for high quality, original research articles, review articles, short notes and book reviews that focus on: - practical and theoretical issues influencing the development of GIS - the collection, analysis, modelling, interpretation and display of spatial data within GIS - the connections between GIS and related technologies - new GIS applications which help to solve problems affecting the natural or built environments, or business
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