Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China
文献类型：期刊论文
| 作者 | Ren,Hongyan2; Lu,Weili2,3; Li,Xueqiu1; Shen,Hongcheng1 |
| 刊名 | Infectious Diseases of Poverty
 |
| 出版日期 | 2022-04-15 |
| 卷号 | 11期号:1 |
| 关键词 | Tuberculosis Geographical detector Specific urban units Pairwise interaction Guangzhou China |
| DOI | 10.1186/s40249-022-00967-z |
| 通讯作者 | Ren,Hongyan(renhy@igsnrr.ac.cn) |
| 英文摘要 | AbstractBackgroundA remarkable drop in tuberculosis (TB) incidence has been achieved in China, although in 2019 it was still considered the second most communicable disease. However, TB’s spatial features and risk factors in urban areas remain poorly understood. This study aims to identify the spatial differentiations and potential influencing factors of TB in highly urbanized regions on a fine scale.MethodsThis study included 18 socioeconomic and environmental variables in the four central districts of Guangzhou, China. TB case data obtained from the Guangzhou Institute of Tuberculosis Control and Prevention. Before using Pearson correlation and a geographical detector (GD) to identify potential influencing factors, we conducted a global spatial autocorrelation analysis to select an appropriate spatial scales.ResultsOwing to its strong spatial autocorrelation (Moran’s I?=?0.33, Z?=?4.71), the 2?km?×?2?km grid was selected as the spatial scale. At this level, TB incidence was closely associated with most socioeconomic variables (0.31? |
| 语种 | 英语 |
| 出版者 | BioMed Central |
| WOS记录号 | BMC:10.1186/S40249-022-00967-Z |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166719]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ren,Hongyan |
| 作者单位 | 1.Guangzhou Chest Hospital 2.Chinese Academy of Sciences; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research 3.University of Chinese Academy of Sciences; College of Resources and Environment |
| 推荐引用方式 GB/T 7714 | Ren,Hongyan,Lu,Weili,Li,Xueqiu,et al. Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China[J]. Infectious Diseases of Poverty,2022,11(1). |
| APA | Ren,Hongyan,Lu,Weili,Li,Xueqiu,&Shen,Hongcheng.(2022).Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China.Infectious Diseases of Poverty,11(1). |
| MLA | Ren,Hongyan,et al."Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China".Infectious Diseases of Poverty 11.1(2022). |
入库方式： OAI收割
来源：地理科学与资源研究所
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