Analysis on spatial distribution of reported incidence rate of syphilis and its influencing factors in Hunan Province, 2020 based on geographic information system
Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan 410153, China Author contributions: ZHANG Jinghang and GAO Shouzhi contributed equally to this paper
Abstract：Objective To analyze the spatial distribution of reported incidence rate of syphilis in Hunan Province in 2020 based on geographic information system (GIS), to construct a spatial regression model for exploring the factors influencing reported incidence rate of syphilis, and to provide certain theoretical evidence for precision prevention and control of syphilis in Hunan Province. Methods Districts and counties were taken as the research units. The global Moran's I coefficient was used tomeasure the global spatial autocorrelation. The Getis-Ord G*i was employed to detect the hot spot areas, and the appropriate spatial regression model was constructed based on Lagrange multiplier value. Results The reported incidence rate of syphilis in Hunan Province in 2020 showed a positive spatial autocorrelation (Moran's I=0.247, P<0.001). The most densely-distributed areas were mainly located in Changsha lying in the east of Hunan as well as Huaihua and Zhangjiajie lying in the northwest of Hunan. The cold spot areas were located in Hengyang and Shaoyang lying in the south of Hunan. The spatial lag model (R2=0.397, AIC=1,124.57, SC=1,144.64) was constructed, and the independent variables included urbanization rate (b=-0.274, P=0.007), general public budget expenditure (b=1.055×10-5, P=0.092), reported incidence rate of hepatitis C (b=0.397, P<0.001), reported incidence rate of gonorrhea (b=1.104, P=0.003) and prevalence rate of HIV/AIDS (b=0.065, P=0.077). Conclusion The reported incidence rate of syphilis in Hunan Province in 2020 possessed a regional clustering feature. It is necessary to comprehensively consider the effects of population and socio-economic development, medical and health resource input and sexually transmitted disease infection status on the reported incidence rate of syphilis and formulate precise prevention and control strategies for syphilis.
张静航, 高守芝, 周艳君, 陈洁, 陈曦, 郑军, 贺健梅. 基于地理信息系统分析2020年湖南省梅毒报告发病率的空间分布及影响因素[J]. 实用预防医学, 2024, 31(3): 287-290.
ZHANG Jinghang, GAO Shouzhi, ZHOU Yanjun, CHEN Jie, CHEN Xi, ZHENG Jun, HE Jianmei. Analysis on spatial distribution of reported incidence rate of syphilis and its influencing factors in Hunan Province, 2020 based on geographic information system. , 2024, 31(3): 287-290.
2024, Vol. 31 
