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Chinese Journal of Antituberculosis ›› 2020, Vol. 42 ›› Issue (9): 994-997.doi: 10.3969/j.issn.1000-6621.2020.09.021

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Characteristics of the tuberculosis epidemic in schools in Qingdao in 2010—2019

SUN Hai-yan*, LI Shuo, WANG Zhong-dong, REN Zhi-sheng, SONG Song, XUE Bai, ZHANG Hua-qiang, DAI Xiao-qi()   

  1. *Division of Tuberculosis Control and Prevention, Qingdao Municipal Center for Disease Control and Prevention, Qingdao Institute of Preventive Medicine, Qingdao 266033, China
  • Received:2020-06-08 Online:2020-09-10 Published:2020-09-18
  • Contact: DAI Xiao-qi E-mail:daixiaoqi28@163.com

Abstract:

The data of patients registered as “students”, the number of registered cases of tuberculosis (excluding tuberculous pleurisy) in 2010—2019 from Tuberculosis Management Information System (TBIMS) and the population data of Qingdao Statistical Yearbook were collected to analyze the registration status and epidemiological characteristics of tuberculosis among students. In 2019, the registration rate was 11.91/100000 (175/1468777), decreased by 27.95% in comparison with that in 2010 (16.53/100000, 212/1282589). The overall trend was downward and the difference was statistically significant (Ztrend=-6.567, P<0.001). Annually, March and April were the peak periods for student’s registered cases (24.42%, 443/1814). In the constituent ratio for all age groups in the reported cases in students from 2010 to 2019, the highest proportion was at college and junior college stage (19- <22 age groups) with an average of 43.16% (783/1814). One thousand six hundred and fifty cases (90.96%, 1650/1814) were detected by passive methods. The patient delay rate of patients was 62.24% (1129/1814). The registration rate of tuberculosis among students in Qingdao was at a low level. It is still necessary to continue to pay attention to the prevention and control of tuberculosis among students, strengthen health education, and improve the awareness of disease prevention among students.

Key words: Tuberculosis,pulmonary, Students, Epidemiologic studies, Data interpretation,statistical, Small-area analysis