Spatio-temporal variation in tuberculosis incidence and risk factors for the disease in a region of unbalanced socio-economic development
文献类型：期刊论文
| 作者 | Wang, Li1,2; Xu, Chengdong3,4; Hu, Maogui3; Qiao, Jiajun1,2; Chen, Wei4; Li, Tao5; Qian, Songbo6; Yan, Mingtao1,2 |
| 刊名 | BMC PUBLIC HEALTH
 |
| 出版日期 | 2021-10-09 |
| 卷号 | 21期号:1页码:11 |
| 关键词 | Tuberculosis Aging population GeoDetector Bayesian space-time hierarchy model Socio-economic status Disease risk factors |
| DOI | 10.1186/s12889-021-11833-2 |
| 通讯作者 | Hu, Maogui(humg@lreis.ac.cn) ; Qiao, Jiajun(jjqiao@henu.edu.cn) |
| 英文摘要 | Background Previous research pointed to a close relationship between the incidence of tuberculosis (TB) in aging populations and socio-economic conditions, however there has been lack of studies focused on a region of unbalanced socio-economic development. The aim of this paper is to explore the spatio-temporal variation in TB incidence and examine risk determinants of the disease among aging populations in a typical region. Methods Data on TB-registered cases between 2009 and 2014, in addition to social-economic factors, were collected for each district/county in Beijing, Tianjin and Hebei, a region characterized by an aging population and disparities in social-economic development. A Bayesian space-time hierarchy model (BSTHM) was used to reveal spatio-temporal variation in the incidence of TB among the elderly in this region between 2009 to 2014. GeoDetector was applied to measure the determinant power (q statistic) of risk factors for TB among the elderly. Results The incidence of TB among the elderly exhibited geographical spatial heterogeneity, with a higher incidence in underdeveloped rural areas compared with that in urban areas. Hotspots of TB incidence risk among the elderly were mostly located in north-eastern and southern areas in the study region, far from metropolitan areas. Areas with low risk were distributed mainly in the Beijing-Tianjin metropolitan areas. Social-economic factors had a non-linear influence on elderly TB incidence, with the dominant factors among rural populations being income (q = 0.20) and medical conditions (q = 0.17). These factors had a non-linear interactive effect on the incidence of TB among the elderly, with medical conditions and the level of economic development having the strongest effect (q = 0.54). Conclusions The findings explain spatio-temporal variation in TB incidence and risk determinants of elderly TB in the presence of disparities in social-economic development. High-risk zones were located mainly in rural areas, far from metropolitan centres. Medical conditions and the economic development level were significantly associated with elderly TB incidence, and these factors had a non-linear interactive effect on elderly TB incidence. The findings can help to optimize the allocation of health resources and to control TB transmission in the aging population in this region. |
| WOS关键词 | SOCIAL DETERMINANTS ; TIME ; TRANSMISSION ; MODEL |
| 资助项目 | National Science and Technology Major Project[2017ZX10201302] ; National Science Foundation of China[41901331] ; National Science Foundation of China[41971357] ; National Science Foundation of China[41671172] ; National Science Foundation of China[42130713] ; Henan Postdoctoral Science Foundation[CJ3050A0670196] ; State Key Laboratory of Resources and Environmental Information System |
| WOS研究方向 | Public, Environmental & Occupational Health |
| 语种 | 英语 |
| WOS记录号 | WOS:000705225600008 |
| 出版者 | BMC |
| 资助机构 | National Science and Technology Major Project ; National Science Foundation of China ; Henan Postdoctoral Science Foundation ; State Key Laboratory of Resources and Environmental Information System |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167011]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Hu, Maogui; Qiao, Jiajun |
| 作者单位 | 1.Henan Univ, Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475001, Peoples R China 2.Henan Univ, Coll Geog & Environm Sci, Kaifeng 475001, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Ctr Dis Control & Prevent, Beijing 102206, Peoples R China 6.Changchun Univ Sci & Technol, Changchun 130022, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Li,Xu, Chengdong,Hu, Maogui,et al. Spatio-temporal variation in tuberculosis incidence and risk factors for the disease in a region of unbalanced socio-economic development[J]. BMC PUBLIC HEALTH,2021,21(1):11. |
| APA | Wang, Li.,Xu, Chengdong.,Hu, Maogui.,Qiao, Jiajun.,Chen, Wei.,...&Yan, Mingtao.(2021).Spatio-temporal variation in tuberculosis incidence and risk factors for the disease in a region of unbalanced socio-economic development.BMC PUBLIC HEALTH,21(1),11. |
| MLA | Wang, Li,et al."Spatio-temporal variation in tuberculosis incidence and risk factors for the disease in a region of unbalanced socio-economic development".BMC PUBLIC HEALTH 21.1(2021):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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