2019年全国各地区肺结核发病率的影响因素分析
Analysis of Factors Influencing the Incidence of Tuberculosis by Region in China, 2019
DOI: 10.12677/SA.2024.131001, PDF,    国家自然科学基金支持
作者: 代莲娇, 许传青*:北京建筑大学理学院,北京
关键词: 肺结核发病率相关性检验最小二乘回归Number of Tuberculosis Cases Correlation Tests Least Squares Regression
摘要: 中国是结核病高负担国家,为探究影响肺结核发病率的宏观因素,基于2019年全国各地区肺结核发病率,提取各地区社会发展、人口构成因素等十个指标,通过Spearman秩相关性检验、Kendall τ相关检验,分别分析各指标体系与肺结核发病率的相关关系;建立最小二乘估计回归模型,得到2019年各地区肺结核的发病率与人口的年龄结构显著相关,且与人均国内生产总值成正相关,与城镇人口构成比、生活垃圾无害化处理率成负相关。
Abstract: China is a country with a high burden of tuberculosis, in order to explore the macro factors affecting the incidence rate of tuberculosis, based on the incidence rate of tuberculosis in all regions of the country in 2019, we extracted ten indicators such as social development and demographic factors in each region, and analyzed the correlation between each indicator system and the incidence rate of tuberculosis through the Spearman’s rank correlation test, and Kendall’s τ correlation test, respec-tively; The least squares estimation regression model was established to obtain that the incidence rate of tuberculosis in each region in 2019 was significantly correlated with the age structure of the population, positively correlated with the per capita gross domestic product, and negatively corre-lated with the ratio of the composition of the urban population and the rate of harmless treatment of domestic waste.
文章引用:代莲娇, 许传青. 2019年全国各地区肺结核发病率的影响因素分析[J]. 统计学与应用, 2024, 13(1): 1-10. https://doi.org/10.12677/SA.2024.131001

参考文献

[1] 国务院办公厅关于印发“十四五”国民健康规划的通知[EB/OL].
https://www.gov.cn/zhengce/content/2022-05/20/content_5691424.htm, 2022-5-20.
[2] 尹金风, 黄若雯, 姜慧, 高志东, 许王莉, 贺晓新, 李卫民. 北京市2008-2018年肺结核时空分布及影响因素分析[J]. 中华流行病学杂志, 2021, 42(7): 1240-1245.
[3] 赵明扬, 周乾宇, 王荣荣, 等. 基于时空地理加权回归模型的中国肺结核发病情况及影响因素研究[J]. 中国全科医学, 2023, 26(5): 583-590.
[4] Bie, S., Hu, X., Zhang, H., Wang, K. and Dou, Z. (2021) Influential Factors and Spa-tial-Temporal Distribution of Tuberculosis in Mainland China. Scientific Reports, 11, Article No. 6274. [Google Scholar] [CrossRef] [PubMed]
[5] 刘家起, 孙德斌, 姜婧, 等. 2000-2015年全球结核病患病率宏观影响因素分析[J]. 中国公共卫生管理, 2021, 37(2): 261-264.
[6] 公共卫生科学数据中心. 肺结核数据库[EB/OL].
https://www.phsciencedata.cn/Share/ky_sjml.jsp?id=f90892b6-c000-48fe-a73e-a4c6db172385, 2023-07-22.
[7] 国家统计局. 地区数据分省年度数据[EB/OL].
https://data.stats.gov.cn/easyquery.htm?cn=C01, 2023-07-22.
[8] 宋德胜, 刘媛媛, 李长平, 崔壮, 胡良平. 如何正确运用t检验——相关系数与0比较t检验及SAS实现[J]. 四川精神卫生, 2020, 33(4): 312-316.
[9] 王星, 褚挺进. 非参数统计[M]. 第2版. 北京: 清华大学出版社, 2014.
[10] 杨斌. 正态性检验的几种方法比较[J]. 统计与决策, 2015(14): 72-74.
[11] Cheng, J., Sun, J., Yao, K., Xu, M. and Cao, Y. (2021) A Variable Selection Method Based on Mutual Infor-mation and Variance Inflation Factor. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 268, Article ID: 120652. [Google Scholar] [CrossRef] [PubMed]