Epidemiology and associated factors of delay for tuberculosis treatment among schools in Jiaxing during 2011-2020

WANG Yuanhang; ZHU Guoying; GE Rui; MAO Rong; CHEN Zhongwen

doi:10.16835/j.cnki.1000-9817.2022.10.028

Volume 43 Issue 10

Oct. 2022

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WANG Yuanhang, ZHU Guoying, GE Rui, MAO Rong, CHEN Zhongwen. Epidemiology and associated factors of delay for tuberculosis treatment among schools in Jiaxing during 2011-2020[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(10): 1561-1564. doi: 10.16835/j.cnki.1000-9817.2022.10.028

Citation:

WANG Yuanhang, ZHU Guoying, GE Rui, MAO Rong, CHEN Zhongwen. Epidemiology and associated factors of delay for tuberculosis treatment among schools in Jiaxing during 2011-2020[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(10): 1561-1564. doi: 10.16835/j.cnki.1000-9817.2022.10.028

Citation:

WANG Yuanhang, ZHU Guoying, GE Rui, MAO Rong, CHEN Zhongwen. Epidemiology and associated factors of delay for tuberculosis treatment among schools in Jiaxing during 2011-2020[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(10): 1561-1564. doi: 10.16835/j.cnki.1000-9817.2022.10.028

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Epidemiology and associated factors of delay for tuberculosis treatment among schools in Jiaxing during 2011-2020

doi: 10.16835/j.cnki.1000-9817.2022.10.028

Department of Infectious Disease Control and Prevention, Jiaxing Center for Disease Control and Prevention, Jiaxing(314050), Zhejiang Province, China

Received Date: 2022-05-12
Rev Recd Date: 2022-07-07

Available Online: 2022-10-28

Publish Date: 2022-10-25

Abstract

Abstract

Objective To understand epidemiology and associated factors of delay for tuberculosis in schools of Jiaxing, and to provide basis for the strategy of pulmonary tuberculosis prevention and control in schools. Methods Based on the Tuberculosis Management Information System, the information of school tuberculosis cases in Jiaxing from 2011 to 2020 was collected, and the epidemiological characteristics were analyzed by descriptive epidemiology. Results A total of 436 student pulmonary tuberculosis patients and 46 teacher pulmonary tuberculosis patients were reported in Jiaxing from 2011 to 2020. The average annual incidence rate in teachers (10.70/100 000) was higher than that in students (6.16/100 000) (χ²=13.06, P < 0.05). The incidence rate of school pulmonary tuberculosis (6.59/100 000) was lower than that in the whole population (37.91/100 000) (χ²=184.63, P < 0.05). The school pulmonary tuberculosis patients mainly occurred from March to May, accounted for 11.62%, 11.00%, 9.96% respectively. The incidence rate of school pulmonary tuberculosis patients in county level was lower than in urban district in 2012, and higher than in urban district in 2017 and 2020(χ²=4.61, 5.72, 4.02, P < 0.05). Most student pulmonary tuberculosis patients aged from 15 to 19 years old, the percentage was higher in males(90) than in females(75) in students. The reported incidence rate of pulmonary tuberculosis in primary school and junior high school teachers was higher than that in the same students (χ²=24.34, 14.87, P < 0.05). Passive case-finding including clinical symptomatic inspection and referrals was the main way to find cases. The detection delay rate was 34.23%. Conclusion Early detection, prompt and scientific treatment, shortening the delay time were key to prevent the spread of the school tuberculosis. It is of great significance to reduce the occurrence of clustering in outbreak and public health emergency.
- Tuberculosis, pulmonary,
- Epidemiologic studies,
- Incidence,
- Regression analysis

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References(14)

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