流行病学、危险区域和胃癌的宏观决定因素:基于地理空间分析的研究。

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH International Journal of Health Geographics Pub Date : 2023-11-25 DOI:10.1186/s12942-023-00356-1
Binjie Huang, Jie Liu, Feifei Ding, Yumin Li
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引用次数: 0

摘要

背景:甘肃省胃癌的发病率和死亡率均居全国首位,本研究旨在描述甘肃省胃癌的近期流行情况,探讨甘肃省胃癌的社会和环境影响因素。方法:利用甘肃省卫生健康委员会医疗大数据平台提供的2013-2021年胃癌患者临床数据和甘肃省统计局提供的人口统计数据,计算甘肃省各市胃癌发病率。随后,我们利用Joinpoint_5.0、ArcGIS_10.8、GeoDa、SaTScanTM_10.1.1和GeoDetector_2018进行了joinpoint回归分析、空间自相关分析、时空扫描分析,并探讨了社会环境因素与甘肃省GC发病率的相关性。结果:本研究共纳入75,522例胃癌。我们的研究结果表明,在过去的九年中,胃癌的发病率有明显的上升趋势。值得注意的是,武威、张掖和金昌的发病率最高,龙南、庆阳和嘉峪关的发病率最低。在空间分析中,我们确定了显著的高-高集聚区,并划定了甘肃省胃癌的两个高风险区域和一个低风险区域。此外,我们的研究结果表明,医疗资源配置、区域经济发展和气候条件等社会和环境因素对胃癌的发病率有显著影响。结论:在甘肃省,胃癌仍然是一个巨大的威胁,本研究发现了显著的危险区域、社会和环境因素,有助于提高对胃癌流行病学的认识,指导甘肃省的公共卫生干预。
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Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis.

Background: Both incidence and mortality of gastric cancer in Gansu rank first in china, this study aimed to describe the recent prevalence of gastric cancer and explore the social and environmental determinants of gastric cancer in Gansu Province.

Methods: The incidence of gastric cancer in each city of Gansu Province was calculated by utilizing clinical data from patients with gastric cancer (2013-2021) sourced from the medical big data platform of the Gansu Province Health Commission, and demographic data provided by the Gansu Province Bureau of Statistics. Subsequently, we conducted joinpoint regression analysis, spatial auto-correlation analysis, space-time scanning analysis, as well as an exploration into the correlation between social and environmental factors and GC incidence in Gansu Province with Joinpoint_5.0, ArcGIS_10.8, GeoDa, SaTScanTM_10.1.1 and GeoDetector_2018.

Results: A total of 75,522 cases of gastric cancer were included in this study. Our findings suggested a significant upward trend in the incidence of gastric cancer over the past nine years. Notably, Wuwei, Zhangye and Jinchang had the highest incidence rates while Longnan, Qingyang and Jiayuguan had the lowest. In spatial analysis, we have identified significant high-high cluster areas and delineated two high-risk regions as well as one low-risk region for gastric cancer in Gansu. Furthermore, our findings suggested that several social and environmental determinants such as medical resource allocation, regional economic development and climate conditions exerted significant influence on the incidence of gastric cancer.

Conclusions: Gastric cancer remains an enormous threat to people in Gansu Province, the significant risk areas, social and environmental determinants were observed in this study, which may improve our understanding of gastric cancer epidemiology and help guide public health interventions in Gansu Province.

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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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