Incidence rate of tuberculosis and related influencing factors in Linyi City,Shandong Province,China:An analysis based on the geographical weighted regression model
Objective To investigate the current registration rate of tuberculosis in each county and district of Linyi City,Shandong Province,China and its spatial local relationship with related influencing factors.Methods Related data were collected for the incidence rate of tuberculosis and related influencing factors in 12 counties and districts of Linyi City from January to Decem-ber 2019.Geoda 4.02 software was used to analyze spatial autocorrelation;GWR 4.09 software was used to construct an ordinary least squares regression(OLS)model and a geographic weighted regression(GWR)model;ArcGIS 10.2 software was used to plot the spatial distribution map of influencing factors based on the GWR model.Results In 2019,there were 3 261 cases of tubercu-losis in Linyi City,with an overall incidence rate of 32.39/100 000.There was a significant difference in the incidence rate of tuber-culosis between different counties,sexes,and age groups(x2=71.257-1532.464,P＜0.001).The results of spatial autocorrela-tion analysis showed a positive spatial correlation(Moran I=0.234,P=0.021).The results of LISA clustering analysis showed low-low clustering in Luozhuang District and Lanling County and high-high clustering in Junan County.OLS and GWR model ana-lyses showed that the GWR model had better diagnostic criteria than the OLS model.The GWR model showed that population den-sity(β=-0.019),per capita education years(β=-14.509),the number of health technicians per ten thousand people(β=-0.293),and air quality index(β=-15.438)had significant effects on the incidence rate of tuberculosis(P＜0.05).Conclusion There are sex,age,and regional differences in the incidence rate of tuberculosis in Linyi City,Shandong Province in 2019.Spatial aggregation is observed for the incidence rate of tuberculosis in each county,and spatial heterogeneity is observed for the influence of social,environmental,economic factors on the incidence rate of tuberculosis.Compared with the OLS model,the GWR model has unique advantages in analyzing the influencing factors for incidence rate.
TuberculosisPrevalenceSpatial regressionEpidemiologyLeast-squares analysisRoot cause analysisGeography,medical
国家科技期刊平台
NSTL
万方数据
维普
