4.7 Article

The incidence of tuberculous pleurisy in mainland China from 2005 to 2018

期刊

FRONTIERS IN PUBLIC HEALTH
卷 11, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fpubh.2023.1180818

关键词

tuberculous pleurisy; incidence; spatiotemporal distribution; the annual percent change; China

向作者/读者索取更多资源

This study aimed to understand the incidence of tuberculous pleurisy (TP) in mainland China between 2005 and 2018. The incidence of TP increased during this period, with a mean incidence of 2.5 per 100,000 population. Spring was identified as the peak season for TP, with Tibet, Beijing, Xinjiang, and Inner Mongolia having the highest mean annual incidence. There was a moderate positive correlation between TP incidence, medical expenses per capita, and GDP per capita.
BackgroundCurrently, tuberculous pleurisy (TP) remains a serious problem affecting global public health, including in China. Our purpose was to comprehensively understand and identify the incidence of TP in mainland China between 2005 and 2018. MethodsThe data on registered TP cases from 2005 to 2018 were acquired from the National Tuberculosis Information Management System. We analyzed the demographics, epidemiology, and time-space distribution of TP patients. Then, the effects of potentially influential factors on TP incidences, such as medical expenses per capita, GDP per capita, and population density, were assessed using the Spearman correlation coefficient. ResultsThe incidence of TP increased in mainland China from 2005 to 2018, with a mean incidence of 2.5 per 100,000 population. Interestingly, spring was the peak season for TP, with more notified cases. Tibet, Beijing, Xinjiang, and Inner Mongolia had the highest mean annual incidence. A moderate positive relationship was found between TP incidence, medical expenses per capita, and GDP per capita. ConclusionsThe notified incidence of TP had an elevated trend from 2005 to 2018 in mainland China. The findings of this study provide insight into the knowledge of TP epidemiology in the country, which can help optimize resource allocation to reduce the TP burden.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据