中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Unbalanced Risk of Pulmonary Tuberculosis in China at the Subnational Scale: Spatiotemporal Analysis

文献类型:期刊论文

作者Hu, Maogui1; Feng, Yuqing1,3; Li, Tao2; Zhao, Yanlin2; Wang, Jinfeng1; Xu, Chengdong1; Chen, Wei2
刊名JMIR PUBLIC HEALTH AND SURVEILLANCE
出版日期2022-07-01
卷号8期号:7页码:11
ISSN号2369-2960
关键词pulmonary tuberculosis infectious disease pattern notification rates Bayesian spatiotemporal pattern tuberculosis public health China disease burden spatial data regional inequality risk TB unbalanced notification data trend cases incidence
DOI10.2196/36242
通讯作者Chen, Wei(chenwei@chinacdc.cn)
英文摘要Background: China has one of the highest tuberculosis (TB) burdens in the world. However, the unbalanced spatial and temporal trends of TB risk at a fine level remain unclear. Objective: We aimed to investigate the unbalanced risks of pulmonary tuberculosis (PTB) at different levels and how they evolved from both temporal and spatial aspects using PTB notification data from 2851 counties over a decade in China. Methods: County-level notified PTB case data were collected from 2009 to 2018 in mainland China. A Bayesian hierarchical model was constructed to analyze the unbalanced spatiotemporal patterns of PTB notification rates during this period at subnational scales. The Gini coefficient was calculated to assess the inequality of the relative risk (RR) of PTB across counties. Results: From 2009 to 2018, the number of notified PTB cases in mainland China decreased from 946,086 to 747,700. The average number of PTB cases in counties was 301 (SD 26) and the overall average notification rate was 60 (SD 6) per 100,000 people. There were obvious regional differences in the RRs for PTB (Gini coefficient 0.32, 95% CI 0.31-0.33). Xinjiang had the highest PTB notification rate, with a multiyear average of 155/100,000 (RR 2.3, 95% CI 1.6-2.8; P<.001), followed by Guizhou (117/100,000; RR 1.8, 95% CI 1.3-1.9; P<.001) and Tibet (108/100,000; RR 1.7, 95% CI 1.3-2.1; P<.001). The RR for PTB showed a steady downward trend. Gansu (local trend [LT] 0.95, 95% CI 0.93-0.96; P<.001) and Shanxi (LT 0.94, 95% CI 0.92-0.96; P<.001) experienced the fastest declines. However, the RRs for PTB in the western region (such as counties in Xinjiang, Guizhou, and Tibet) were significantly higher than those in the eastern and central regions (P<.001), and the decline rate of the RR for PTB was lower than the overall level (P<.001). Conclusions: PTB risk showed significant regional inequality among counties in China, and western China presented a high plateau of disease burden. Improvements in economic and medical service levels are required to boost PTB case detection and eventually reduce PTB risk in the whole country.
WOS关键词PREVALENCE
资助项目National Science and Technology Major Project[2017ZX10201302] ; National Natural Science Foundation of China[41771434] ; National Natural Science Foundation of China[41531179]
WOS研究方向Public, Environmental & Occupational Health
语种英语
出版者JMIR PUBLICATIONS, INC
WOS记录号WOS:000862466000006
资助机构National Science and Technology Major Project ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/185602]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Wei
作者单位1.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
2.Chinese Ctr Dis Control & Prevent, Natl Ctr TB Control & Prevent, 155 Changbai Rd, Beijing 102206, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Hu, Maogui,Feng, Yuqing,Li, Tao,et al. Unbalanced Risk of Pulmonary Tuberculosis in China at the Subnational Scale: Spatiotemporal Analysis[J]. JMIR PUBLIC HEALTH AND SURVEILLANCE,2022,8(7):11.
APA Hu, Maogui.,Feng, Yuqing.,Li, Tao.,Zhao, Yanlin.,Wang, Jinfeng.,...&Chen, Wei.(2022).Unbalanced Risk of Pulmonary Tuberculosis in China at the Subnational Scale: Spatiotemporal Analysis.JMIR PUBLIC HEALTH AND SURVEILLANCE,8(7),11.
MLA Hu, Maogui,et al."Unbalanced Risk of Pulmonary Tuberculosis in China at the Subnational Scale: Spatiotemporal Analysis".JMIR PUBLIC HEALTH AND SURVEILLANCE 8.7(2022):11.

入库方式: OAI收割

来源:地理科学与资源研究所

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