重叠的癌症服务领域:划分和影响

IF 2.1 3区 地球科学 Q2 GEOGRAPHY Transactions in GIS Pub Date : 2024-02-28 DOI:10.1111/tgis.13140
Changzhen Wang, Tracy Onega, Fahui Wang
{"title":"重叠的癌症服务领域:划分和影响","authors":"Changzhen Wang, Tracy Onega, Fahui Wang","doi":"10.1111/tgis.13140","DOIUrl":null,"url":null,"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.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Overlapping cancer service areas: Delineation and implications\",\"authors\":\"Changzhen Wang, Tracy Onega, Fahui Wang\",\"doi\":\"10.1111/tgis.13140\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":47842,\"journal\":{\"name\":\"Transactions in GIS\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transactions in GIS\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1111/tgis.13140\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions in GIS","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1111/tgis.13140","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Overlapping cancer service areas: Delineation and implications
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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
期刊最新文献
Knowledge‐Guided Automated Cartographic Generalization Process Construction: A Case Study Based on Map Analysis of Public Maps of China City Influence Network: Mining and Analyzing the Influence of Chinese Cities Based on Social Media PyGRF: An Improved Python Geographical Random Forest Model and Case Studies in Public Health and Natural Disasters Neural Sensing: Toward a New Approach to Understanding Emotional Responses to Place Construction of Earth Observation Knowledge Hub Based on Knowledge Graph
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1