Spatial-temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021.

IF 2.5 4区医学 Q3 INFECTIOUS DISEASES

Epidemiology and Infection Pub Date : 2024-05-15 DOI:10.1017/S0950268824000785

Ke Chen, Liang Cheng, Hao Yu, Yong Zhou, Limei Zhu, Zhongqi Li, Tenglong Li, Leonardo Martinez, Qiao Liu, Bei Wang

{"title":"Spatial-temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021.","authors":"Ke Chen, Liang Cheng, Hao Yu, Yong Zhou, Limei Zhu, Zhongqi Li, Tenglong Li, Leonardo Martinez, Qiao Liu, Bei Wang","doi":"10.1017/S0950268824000785","DOIUrl":null,"url":null,"abstract":"China is still among the 30 high-burden tuberculosis (TB) countries in the world. Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System. Three-dimensional spatial trends, spatial autocorrelation, and spatial-temporal scan analysis were conducted to explore the spatial clustering pattern of PTB. From 2011 to 2021, a total of 347,495 newly diagnosed PTB cases were registered. The registered incidence rate of PTB decreased from 49.78/100,000 in 2011 to 26.49/100,000 in 2021, exhibiting a steady downward trend (χ2 = 414.22, P < 0.001). The average annual registered incidence rate of PTB was higher in the central and northern regions. Moran's I indices of the registered incidence of PTB were all >0 (P< 0.05) except in 2016, indicating a positive spatial correlation overall. Local autocorrelation analysis showed that 'high-high' clusters were mainly distributed in northern Jiangsu, and 'low-low' clusters were mainly concentrated in southern Jiangsu. The results of this study assist in identifying settings and locations of high TB risk and inform policy-making for PTB control and prevention.","PeriodicalId":11721,"journal":{"name":"Epidemiology and Infection","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149027/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiology and Infection","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/S0950268824000785","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}

引用次数: 0

Abstract

China is still among the 30 high-burden tuberculosis (TB) countries in the world. Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System. Three-dimensional spatial trends, spatial autocorrelation, and spatial-temporal scan analysis were conducted to explore the spatial clustering pattern of PTB. From 2011 to 2021, a total of 347,495 newly diagnosed PTB cases were registered. The registered incidence rate of PTB decreased from 49.78/100,000 in 2011 to 26.49/100,000 in 2021, exhibiting a steady downward trend (χ² = 414.22, P < 0.001). The average annual registered incidence rate of PTB was higher in the central and northern regions. Moran's I indices of the registered incidence of PTB were all >0 (P< 0.05) except in 2016, indicating a positive spatial correlation overall. Local autocorrelation analysis showed that 'high-high' clusters were mainly distributed in northern Jiangsu, and 'low-low' clusters were mainly concentrated in southern Jiangsu. The results of this study assist in identifying settings and locations of high TB risk and inform policy-making for PTB control and prevention.

查看原文本刊更多论文

2011-2021年中国东部地区肺结核的时空分布特征。

中国仍是世界上 30 个结核病（TB）高负担国家之一。很少有研究描述江苏省肺结核（PTB）的空间流行病学特征。本研究从结核病管理信息系统中收集了江苏省95个县2011-2021年肺结核病人的登记发病数据。通过三维空间趋势分析、空间自相关分析和时空扫描分析，探讨了肺结核的空间聚集模式。从 2011 年到 2021 年，共登记了 347 495 例新诊断的肺结核病例。登记的肺结核发病率从 2011 年的 49.78/100,000 降至 2021 年的 26.49/100,000，呈稳步下降趋势（χ2 = 414.22，P 0（P＜0.05））。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Epidemiology and Infection 医学-传染病学

CiteScore

4.10

自引率

2.40%

发文量

366

审稿时长

3-6 weeks

期刊介绍： Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.

文献相关原料

公司名称	产品信息	采购帮参考价格