Spatio-temporal clustering analysis of pulmonary tuberculosis among the elderly in Shaoxing City
Objective To investigate the spatio-temporal clustering characteristics of pulmonary tuberculosis(PTB)aged 60 years and above in Shaoxing City from 2019 to 2023,so as to provide insights into prevention and control of PTB among the elderly.Methods Data of PTB cases aged 60 years and above in Shaoxing City from 2019 to 2023 were collected from Tuberculosis Management Information System of Chinese Disease Prevention and Control Information Sys-tem.The population data were collected from Shaoxing Statistical Yearbook.Vector map information was collected from Shaoxing Geographic Information Public Service Platform.The spatio-temporal clustering characteristics of PTB cases aged 60 years and above were analyzed using global spatial autocorrelation,local spatial autocorrelation and spatio-tem-poral scanning.Results Totally 3 722 PTB cases aged 60 years and above were registered in Shaoxing City.The aver-age annual registration rate was 61.71/105,showing no significant trend(P>0.05).Totally 2 548 pathogenetically positive cases were registered,with an average annual registration rate of 42.25/105.Spatial autocorrelation analysis showed there was a positive spatial correlation of PTB in 2019 and 2021(both Moran's I>0,both P<0.05).Shengzhou City showed a high-low clustering,and Keqiao District and Shangyu District showed a low-low clustering.Spatio-temporal scanning analysis showed that a class Ⅰ cluster was located in Shengzhou City,with aggregation time from March 1,2019 to August 31,2021.The class Ⅱ clusters were located in Zhuji City,Shangyu City and Keqiao District,with aggregation time from March 1,2021 to August 31,2023,from April 1,2021 to September 30,2023,and from June 1,2021 to November 30,2023,respectively.Conclusion The PTB cases aged 60 years and above in Shaoxing City from 2019 to 2023 mainly concentrated in Shengzhou City,where the prevention and control of PTB among the elderly should be strengthened.
万方数据
维普
