Analysis on spatial distribution of reported incidence rate of syphilis and its influencing factors in Hunan Province,2020 based on geographic information system
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 to measure the global spatial autocorrelation.The Getis-Ord Gi* 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=1.055x10-5,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.
syphilisspatial autocorrelationGetis-Ord Gi*statisticspatial regression modelspatial lag model
万方数据
维普
