Objective To understand the epidemiological characteristics and incidence trends of genital Chlamydia trachomatis(CT)infection in Guangzhou from 2011 to 2022,so as to provide a scientific basis for the prevention and control of CT infection.Methods The data of CT infection cases directly reported by the network of medical institutions in Guangzhou from 2011 to 2022 were collected from the China Information System for Disease Control and Prevention.Excel 2019 software was used to organize the data,and Joinpoint 4.9.1.0 software was used to analyze the changing trend of the incidence rate of CT infection cases.Results A total of 133 461 cases of CT infection were reported in Guangzhou from 2011 to 2022,with an average annual incidence of 76.71/100 000.The incidence rate showed an up-down trend,with the turning point occurring in 2018.From 2011 to 2018 the incidence rate increased with an annual percent change(APC)of 5.61％(t=4.74,P=0.002),and then decreased sharply with an APC of 12.92％from 2018 to 2022(t=-5.08,P=0.001).Most of the reported cases were female and those aged 20-＜35 years old,accounting for 77.68％and 72.59％respectively.Occupational distribution was mainly dominated by domestic and non-working and commercial service workers,accounting for 46.20％and 23.56％respectively.The average annual incidence rate of Conghua District,Panyu District and Huadu District were top three in the city,with the incidence rates of 170.15/100 000,107.51/100 000 and 83.35/100 000,respectively.Panyu District,Baiyun District and Haizhu District were top three in terms of cumulative number of reported cases,accounting for 18.52％,17.31％and 10.60％,respectively.Conclusion The epidemic of CT infection is serious in Guangzhou,and the incidence rate of CT infection has decreased significantly year by year due to the influence of COVID-19.However,it is not yet possible to believe that the incidence rate of CT infection will continue its downward trend in the future.Further observation and evaluation are needed to adjust the prevention and control strategies in time.
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