Suppr超能文献

新冠疫情对中国报告的结核病发病率和死亡率的影响:一项中断时间序列分析

The impact of COVID-19 pandemic on reported tuberculosis incidence and mortality in China: An interrupted time series analysis.

作者信息

Zhang Yuqi, Zhang Li, Gao Wenlong, Li Ming, Luo Qiuxia, Xiang Yuanyuan, Bao Kai

机构信息

Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.

TB Prevention and Control Institute, Lanzhou Municipal Center for Disease Control and Prevention, Lanzhou, Gansu, China.

出版信息

J Glob Health. 2023 Oct 13;13:06043. doi: 10.7189/jogh.13.06043.

Abstract

BACKGROUND

The reported number of cases and deaths from common infectious diseases can change during major public health crises. We explored whether the coronavirus disease 2019 (COVID-19) had an impact on tuberculosis (TB) incidence and mortality in China based on routinely reported TB data.

METHODS

We used TB data used from the monthly national notifiable infectious disease reports in China from January 2015 to January 2023. Based on an interrupted time series (ITS) design, we applied Poisson and negative binomial regression models to assess the changes of reported TB incidence and mortality before and during the COVID-19 pandemic.

RESULTS

We found a significant and immediate decrease in the levels of both reported TB incidence (relative risk (RR) = 0.887; 95% confidence interval (CI) = 0.810-0.973) and mortality (RR = 0.448; 95% CI = 0.351-0.572) at the start of COVID-19 outbreak. During the pandemic, the slope of reported incidence decreased significantly (RR = 0.994; 95% CI = 0.989-0.999), while the slope of reported mortality increased sharply (RR = 1.032; 95% CI = 1.022-1.041) owing to an abrupt rise in reported mortality after January 2022.

CONCLUSIONS

Both TB incidence and mortality decreased immediately at the start of the COVID-19 pandemic. Over a longer period, the COVID-19 pandemic had contributed to a sustained and more significant decrease in reported incidence, and a delayed but sharp increase in reported mortality.

摘要

背景

在重大公共卫生危机期间,常见传染病的报告病例数和死亡数可能会发生变化。我们基于常规报告的结核病数据,探讨了2019年冠状病毒病(COVID-19)对中国结核病发病率和死亡率的影响。

方法

我们使用了2015年1月至2023年1月中国每月法定传染病报告中的结核病数据。基于中断时间序列(ITS)设计,我们应用泊松回归模型和负二项回归模型来评估COVID-19大流行之前和期间报告的结核病发病率和死亡率的变化。

结果

我们发现,在COVID-19疫情开始时,报告的结核病发病率(相对风险(RR)=0.887;95%置信区间(CI)=0.810-0.973)和死亡率(RR=0.448;95%CI=0.351-0.572)均显著且立即下降。在大流行期间,报告发病率的斜率显著下降(RR=0.994;95%CI=0.989-0.999),而报告死亡率的斜率急剧上升(RR=1.032;95%CI=1.022-1.041),这是由于2022年1月之后报告的死亡率突然上升所致。

结论

在COVID-19大流行开始时,结核病发病率和死亡率均立即下降。在较长时期内,COVID-19大流行导致报告发病率持续且更显著下降,以及报告死亡率延迟但急剧上升。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4505/10569365/b4348c710931/jogh-13-06043-F1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验