中国重庆市耐利福平结核病的时空分布和时间序列分析

IF 3.9 3区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Public Health Pub Date : 2025-03-15 DOI:10.1016/j.puhe.2025.03.002

Shili Xian , Ya Yu , Jian Chen , Bo Wu , Chengguo Wu , Jun Fan , Lihong Mu

{"title":"中国重庆市耐利福平结核病的时空分布和时间序列分析","authors":"Shili Xian , Ya Yu , Jian Chen , Bo Wu , Chengguo Wu , Jun Fan , Lihong Mu","doi":"10.1016/j.puhe.2025.03.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>Chongqing has a high burden of rifampicin-resistant tuberculosis (RR-TB), and the implementation of Chongqing's Stop TB Action Plan (2019–2022) as well as the COVID-19 (Coronavirus Disease 2019) pandemic may have affected its distribution. This study aimed to investigate the spatial and temporal distribution characteristics of RR-TB in Chongqing to provide a reference for identifying priority regions for prevention and control.</div></div><div><h3>Study design</h3><div>A prospective study.</div></div><div><h3>Methods</h3><div>Spatial autocorrelation analysis and spatiotemporal scanning were used to identify spatial and temporal RR-TB distribution patterns. The temporal trend and seasonality of the case series were explored using a time-series analysis.</div></div><div><h3>Results</h3><div>There were 3,114 cases reported during the study period. From 2018 to 2022, the rate of notified cases of RR-TB in Chongqing changed, first increasing and then decreasing; a maximum of 684 cases was reached by 2020. The majority of cases were detected in January through May. Cluster areas were concentrated in the southeastern and northeastern regions, mainly in Pengshui County.</div></div><div><h3>Conclusions</h3><div>This study identified seasonal trends and spatial and temporal distribution patterns of RR-TB in Chongqing. The southeastern and northeastern parts of Chongqing should be prioritised for control efforts, and further investigations should be conducted to analyse case causes and propose control measures.</div></div>","PeriodicalId":49651,"journal":{"name":"Public Health","volume":"242 ","pages":"Pages 165-171"},"PeriodicalIF":3.9000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal distribution and time-series analysis of rifampicin-resistant tuberculosis in Chongqing municipality, China\",\"authors\":\"Shili Xian , Ya Yu , Jian Chen , Bo Wu , Chengguo Wu , Jun Fan , Lihong Mu\",\"doi\":\"10.1016/j.puhe.2025.03.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>Chongqing has a high burden of rifampicin-resistant tuberculosis (RR-TB), and the implementation of Chongqing's Stop TB Action Plan (2019–2022) as well as the COVID-19 (Coronavirus Disease 2019) pandemic may have affected its distribution. This study aimed to investigate the spatial and temporal distribution characteristics of RR-TB in Chongqing to provide a reference for identifying priority regions for prevention and control.</div></div><div><h3>Study design</h3><div>A prospective study.</div></div><div><h3>Methods</h3><div>Spatial autocorrelation analysis and spatiotemporal scanning were used to identify spatial and temporal RR-TB distribution patterns. The temporal trend and seasonality of the case series were explored using a time-series analysis.</div></div><div><h3>Results</h3><div>There were 3,114 cases reported during the study period. From 2018 to 2022, the rate of notified cases of RR-TB in Chongqing changed, first increasing and then decreasing; a maximum of 684 cases was reached by 2020. The majority of cases were detected in January through May. Cluster areas were concentrated in the southeastern and northeastern regions, mainly in Pengshui County.</div></div><div><h3>Conclusions</h3><div>This study identified seasonal trends and spatial and temporal distribution patterns of RR-TB in Chongqing. The southeastern and northeastern parts of Chongqing should be prioritised for control efforts, and further investigations should be conducted to analyse case causes and propose control measures.</div></div>\",\"PeriodicalId\":49651,\"journal\":{\"name\":\"Public Health\",\"volume\":\"242 \",\"pages\":\"Pages 165-171\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0033350625001179\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0033350625001179","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}

引用次数: 0

摘要

目的重庆是耐利福平肺结核（RR-TB）的高负担地区，《重庆市遏制结核病行动计划（2019-2022年）》的实施以及COVID-19（冠状病毒病2019年）的流行可能会影响其分布。本研究旨在探讨重庆市RR-TB的时空分布特征，为确定重点防控区域提供参考。研究设计前瞻性研究方法采用空间自相关分析和时空扫描确定RR-TB的时空分布模式。结果研究期间共报告 3114 例病例。从 2018 年到 2022 年，重庆的 RR-TB 病例报告率发生了变化，先上升后下降；到 2020 年达到最高值 684 例。大部分病例在 1 月至 5 月间发现。聚集区主要集中在东南部和东北部地区，以彭水县为主。重庆市东南部和东北部地区应作为重点防治地区，并应开展进一步调查，分析病例原因，提出防治措施。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Spatiotemporal distribution and time-series analysis of rifampicin-resistant tuberculosis in Chongqing municipality, China

Objectives

Chongqing has a high burden of rifampicin-resistant tuberculosis (RR-TB), and the implementation of Chongqing's Stop TB Action Plan (2019–2022) as well as the COVID-19 (Coronavirus Disease 2019) pandemic may have affected its distribution. This study aimed to investigate the spatial and temporal distribution characteristics of RR-TB in Chongqing to provide a reference for identifying priority regions for prevention and control.

Study design

A prospective study.

Methods

Spatial autocorrelation analysis and spatiotemporal scanning were used to identify spatial and temporal RR-TB distribution patterns. The temporal trend and seasonality of the case series were explored using a time-series analysis.

Results

There were 3,114 cases reported during the study period. From 2018 to 2022, the rate of notified cases of RR-TB in Chongqing changed, first increasing and then decreasing; a maximum of 684 cases was reached by 2020. The majority of cases were detected in January through May. Cluster areas were concentrated in the southeastern and northeastern regions, mainly in Pengshui County.

Conclusions

This study identified seasonal trends and spatial and temporal distribution patterns of RR-TB in Chongqing. The southeastern and northeastern parts of Chongqing should be prioritised for control efforts, and further investigations should be conducted to analyse case causes and propose control measures.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Public Health 医学-公共卫生、环境卫生与职业卫生

CiteScore

7.60

自引率

0.00%

发文量

280

审稿时长

37 days

期刊介绍： Public Health is an international, multidisciplinary peer-reviewed journal. It publishes original papers, reviews and short reports on all aspects of the science, philosophy, and practice of public health.