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

作　　者：代莲娇 许传青 

机构地区：[1]北京建筑大学理学院,北京

出　　处：《统计学与应用》2024年第1期1-10,共10页Statistical and Application

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。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.

关 键 词：肺结核发病率 相关性检验 最小二乘回归 

分 类 号：R52[医药卫生—内科学]