4.7 Article

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

Journal

FRONTIERS IN PUBLIC HEALTH
Volume 11, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpubh.2023.1180818

Keywords

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

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available