Analysis on epidemic characteristics of infectious diseases in schools in Zhangjiagang City from 2008 to 2022
Objective To analyze the epidemic characteristics of infectious diseases in schools(including kindergartens)in Zhangjiagang City from 2008 to 2022,providing a reference basis for the prevention and control of infectious diseases in schools and aiming to reduce the incidence level.Methods The descriptive methods were adopted to analyze the infectious disease data of schools(including kindergartens)in Zhangjiagang City,which were reported in the Chinese disease prevention and control information system from 2008 to 2022.Results From 2008 to 2022,a total of 30 817 cases of 25 kinds of infectious diseases were reported in schools(including kindergartens)in Zhangjiagang City.The average annual incidence rate was 1 136.89/100 000,and the overall incidence rate showed an upward trend(x2trend)=4 502.819,P＜0.05).The top five reported diseases with cumulative reported cases were hand-foot-and-mouth disease,varicella,influenza,mumps,and scarlet fever,accounting for 96.52％of the total reported cases 96.52％(29 745/30 817).The occurrence of infectious diseases exhibited a distinct bimodal distribution,with the first peak observed in May to June and the second peak occurring from October to January of the following year.The incidence rate among males was higher than females,with a gender ratio of 1.34∶1.Among the reported cases,the highest number of cases was observed in the kindergarten group,which 15 544 cases were reported,accounting for 50.44％.The respiratory infectious diseases had the highest number of reported cases,with a total of 16 327 cases in nine different diseases,representing 52.98％of the overall reported cases.Conclusion The prevention and control of infectious diseases in schools of Zhangjiagang City should focus on kindergartens and primary schools,strengthen targeted prevention and control measures for common infectious diseases such as hand-foot-and-mouth disease,chicken pox,influenza,mumps and scarlet fever,improve vaccination coverage,explore and establish a data sharing mechanism,and achieve short-term early warning and prediction of infectious disease incidence trends in schools.
NETL
NSTL
万方数据
