Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis

• Published in: International journal of health geographics Vol. 22; no. 1; pp. 32 - 14
• Main Authors: Huang, Binjie, Liu, Jie, Ding, Feifei, Li, Yumin
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 25.11.2023; BioMed Central; BMC
• Subjects: Age; Analysis; Big Data; Cancer; Care and treatment; China; China - epidemiology; Cities; Climatic conditions; Correlation analysis; Datasets; Dependent variables; Diagnosis; Economic development; Environmental factors; Epidemiology; Females; Forecasts and trends; Gastric cancer; Gender; Genetic susceptibility; Geography; Geospatial data; Health aspects; Health promotion; Humans; Humidity; Incidence; Interdisciplinary subjects; Males; Mortality; Oncology, Experimental; Patients; Prevention; Public health; Regional development; Regions; Regression analysis; Resource allocation; Risk; Risk areas; Social and environmental factors; Software; Spatial Analysis; Spatio-Temporal Analysis; Statistical analysis; Statistics; Stomach cancer; Stomach Neoplasms - diagnosis; Stomach Neoplasms - epidemiology; Trends; China; Gansu China; Spatial analysis; Social and environmental factors; Risk areas; Epidemiology; Gastric cancer
• ISSN: 1476-072X; 1476-072X
• DOI: 10.1186/s12942-023-00356-1

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. 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, SaTScan _10.1.1 and GeoDetector_2018. 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. 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.