Literature DB >> 24377991

[Geographical distribution regarding the prevalence rates of pulmonary tuberculosis in China in 2010].

Xin-xu Li1, Hui Zhang1, Shi-wen Jiang1, Xiao-qiu Liu1, Qun Fang1, Jun Li1, Xue Li1, Li-xia Wang2.   

Abstract

OBJECTIVE: To describe the geographical distribution regarding the prevalence rates of pulmonary tuberculosis (TB) in 2010, to provide reference for eliminating the regional unbalance of TB prevalence in China.
METHODS: Thiessen Polygon Method, dealing with spatial analysis in geographical information system, was used to analyze data from the 5th national TB epidemiological survey.
RESULTS: The prevalence rates of active pulmonary TB(PAPT), Mycobacterium-positive pulmonary TB (PMPT) and smear-positive pulmonary TB (PSPT) were 62-548/100 thousand population (OHTP),0-120/OHTP and 0-68/OHTP, which were all relatively lower in most parts of Beijing, Tianjin, Hebei, Shanghai, Jiangsu, Zhejiang and Shandong than in other areas. PAPT (549-1656/OHTP), PMPT (121-366/OHTP) and PSPT (69-181/OHTP) were relatively higher in most parts of Guangxi, Sichuan, Guizhou, Yunnan, Xizang, Qinghai and Xinjiang than in other areas, in which PAPT, PMPT and PSPT of some areas could be seen as high as 1657-2646/OHTP, 367-625/OHTP and 182-285/OHTP, respectively. PAPT, PMPT and PSPT manifested jigsaw pattern distribution between 320-548/OHTP adn 549-919/OHTP, among 67-120/OHTP, 121-207/OHTP and 208-366/OHTP, and among 38-68/OHTP, 69-115/OHTP and 116-181/OHTP, respectively, in the rest of the provinces or autonomous regions.
CONCLUSION: The geographical distribution for TB prevalence significantly presented the fact that it was relatively low in the eastern parts and high in the western parts, and a jigsaw transition pattern between the low and high rates, in the central part of the country.

Entities:  

Mesh:

Year:  2013        PMID: 24377991

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  6 in total

1.  Cancer risk in tuberculosis patients in a high endemic area.

Authors:  Guang-Liang Chen; Li Guo; Shun'e Yang; Dong-Mei Ji
Journal:  BMC Cancer       Date:  2021-06-09       Impact factor: 4.430

Review 2.  Multidrug-resistant tuberculosis (MDR-TB) disease burden in China: a systematic review and spatio-temporal analysis.

Authors:  Peipei Ding; Xiaowen Li; Zhongwei Jia; Zuhong Lu
Journal:  BMC Infect Dis       Date:  2017-01-10       Impact factor: 3.090

3.  Bone marrow granulomas in a high tuberculosis prevalence setting: A clinicopathological study of 110 cases.

Authors:  Yu Wang; Xiao-Yan Tang; Ji Yuan; Shou-Quan Wu; Guo Chen; Miao-Miao Zhang; Ming-Gui Wang; Wen-Yan Zhang; Jian-Qing He
Journal:  Medicine (Baltimore)       Date:  2018-01       Impact factor: 1.889

4.  Effect of using electronic medication monitors on tuberculosis treatment outcomes in China: a longitudinal ecological study.

Authors:  Ni Wang; Lei Guo; Hemant Deepak Shewade; Pruthu Thekkur; Hui Zhang; Yan-Li Yuan; Xiao-Meng Wang; Xiao-Lin Wang; Miao-Miao Sun; Fei Huang; Yan-Lin Zhao
Journal:  Infect Dis Poverty       Date:  2021-03-17       Impact factor: 4.520

5.  Spatial variations of pulmonary tuberculosis prevalence co-impacted by socio-economic and geographic factors in People's Republic of China, 2010.

Authors:  Xin-Xu Li; Li-Xia Wang; Hui Zhang; Shi-Wen Jiang; Qun Fang; Jia-Xu Chen; Xiao-Nong Zhou
Journal:  BMC Public Health       Date:  2014-03-17       Impact factor: 3.295

6.  ASAP1 gene polymorphisms are associated with susceptibility to tuberculosis in a Chinese Xinjiang Muslim population.

Authors:  Xianhua Wang; Aiguo Ma; Xiuxia Han; Aishan Litifu; Feng Xue
Journal:  Exp Ther Med       Date:  2018-01-25       Impact factor: 2.447

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.