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2017-2022年江苏省老年人群肺结核时空分布特征分析

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目的 分析2017-2022年江苏省老年人群肺结核时空分布特征,为江苏省老年人群肺结核防控策略的实施和调整提供科学依据.方法 收集2017-2022年江苏省老年人群肺结核的病例数据和各县(区)常住老年人口数,利用ArcGIS 10.7软件进行可视化作图,通过Geoda 1.18.0软件进行全局、局部空间自相关分析,探索其空间聚集性.利用SaTScan 10.1软件进行空间扫描分析探讨时空聚集性.结果 江苏省老年人群肺结核报告发病率从2017年的78.99/10万下降至2022年的55.17/10万(x2趋势=439.493,P<0.001),年均发病率为64.14/10万.各年度Moran's I值为0.243~0.600,整体呈空间聚集性分布.时空扫描分析探索到5个时空聚集区域(P<0.05),其中一级聚集区覆盖22个县(区),二级聚集区覆盖3个县(区),三级聚集区覆盖5个县(区),四级聚集区覆盖14个县(区),聚集时间均为2017-2019年.结论 2017-2022年江苏省老年人群肺结核发病率呈下降趋势,但仍高于全人群,且存在空间聚集性,应对肺结核发病高聚集区域制定有针对性的防控策略.
Analysis on the spatial-temporal distribution characteristics of pulmonary tuberculosis in the elderly in Jiangsu Province from 2017 to 2022
Objective This study aimed to analyze the spatiotemporal distribution characteristics of pulmonary tuberculosis among the elderly population in Jiangsu Province,China,from 2017 to 2022.The findings will provide a scientific basis for implementing and adjusting pulmonary tuberculosis preven-tion and control strategies in the province.Methods We collected data on pulmonary tuberculosis inci-dence in the elderly population of Jiangsu Province from 2017 to 2022,along with the corresponding elderly population figures for each county.ArcGIS 10.7 software was used for visualization mapping.Global and local spatial autocorrelation analysis was conducted using Geoda 1.18.0 software to explore spatial clustering of pulmonary tuberculosis cases.Finally,SaTScan 10.1 software was employed for spatiotemporal scan analysis to identify areas with spatiotemporal aggregation.Results The reported inci-dence rate of pulmonary tuberculosis in the elderly population of Jiangsu Province decreased significantly from 78.99/100 000 in 2017 to 55.17/100 000 in 2022(x2trend=439.493,P<0.001),with an average annual incidence rate of 64.14/100 000.The Moran's Ⅰ values ranged from 0.243 to 0.600,indicating an overall spatial clustering distribution of pulmonary tuberculosis cases.Spatiotemporal scan analysis identified five statistically significant spatiotemporal clusters(P<0.05),including a primary cluster encompassing 22 counties,a secondary cluster of 3 counties,a tertiary cluster of 5 counties,and a quaternary cluster of 14 counties.And the time of spatiotemporal aggregation was 2017-2019.Conclusions Despite a year-by-year decrease,the incidence rate of pulmonary tuberculosis in the elderly population of Jiangsu Province remains higher than the general population.Furthermore,the presence of evident spatial clustering necessitates focused attention in these areas for improved pulmonary tuberculosis prevention and control strategies.

Elderly populationPulmonary tuberculosisSpatial-temporal analysis

蒋晖、陈可、王展、虞浩、竺丽梅、周勇、刘巧

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镇江市疾病预防控制中心慢性传染病防制科,镇江 212001

东南大学公共卫生学院流行病学系,南京 210009

江苏省疾病预防控制中心慢性传染病防制所,南京 210009

黑龙江省疾病预防控制中心慢性非传染性疾病预防控制所,哈尔滨 150030

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老年人群 肺结核 时空分布

国家自然科学基金江苏省卫生健康委员会科研面上项目

82003516M2020020

2024

中华疾病控制杂志
中华预防医学会 安徽医科大学

中华疾病控制杂志

CSTPCD北大核心
影响因子:1.862
ISSN:1674-3679
年,卷(期):2024.28(6)
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