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Journal of Tuberculosis and Lung Health ›› 2019, Vol. 8 ›› Issue (3): 209-217.doi: 10.3969/j.issn.2095-3755.2019.03.012

• Original Articles • Previous Articles     Next Articles

Analysis of epidemic features of smear-positive pulmonary tuberculosis in Xinjiang Uygur Autonomous Region from 2010 to 2017

WANG Xi-jiang,WANG Sen-lu,ZHAO Zhen,ZHANG Jing, ,TAI Xin-rong,CUI Yan.()   

  1. The Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi 830002, China
  • Received:2019-07-18 Online:2019-09-30 Published:2019-10-15
  • Contact: Yan. CUI E-mail:609169765@qq.com

Abstract:

Objective To analyze the epidemiological characteristics and spatial distribution of smear-positive tuberculosis (TB) patients registered in Xinjiang Uygur Autonomous Region (Xinjiang) from 2010 to 2017, to provide evidence for further exploring and developing TB prevention strategy in high TB burden areas.Methods Of the 71172 case reports of smear-positive pulmonary tuberculosis patients registered in 96 counties/cities/districts of Xinjiang from 2010 to 2017 were obtained from China Disease Prevention and Control Information System. Then general disease distribution features were analyzed using SPSS 22.0, while spatial clustering of smear-positive pulmonary tuberculosis were demonstrated using GIS and SaTScan 9.5.Results From 2010 to 2017, 71172 registered smear positive pulmonary tuberculosis patients were registered in Xinjiang, of which 54450 were new patients, accounting for 29.01% (71172/245339) of all patients. The average annual smear positive registration rate was 39.32/100000 (71172/181024701), showing a gradually descending trend (52.87/100000-30.69/100000). Spatial scanning analysis showed that those new smear positive patients mainly aggregated in 7 clustering areas, within which one cluster area including 29 counties/cities/districts in Kashgar, Aksu and Hotan was the largest (35.5/100000;RR=3.4, LLR=2701.28, P<0.01).Conclusion The registration rates of smear-positive pulmonary tuberculosis in Xinjiang from 2010 to 2017 were declining. New cases in Kashgar, Aksu and Hetian prefectures showed a spatial aggregation, which should be the focus area for prevention and control in the future.

Key words: Tuberculosis, pulmonary, Epidemiologic study characteristics as topic, Registries, Incidence, Space-time clustering, Data interpretation, statistical