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2010—2019年南宁市农村地区结核病空间分布特征分析 被引量:4

Analysis of the spatial distribution characteristics of tuberculosis in rural areas of Nanning City from 2010 to 2019
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摘要 目的分析南宁市农村地区2010—2019年结核病空间分布模式,探索聚集区域,为结核病防治提供科学依据。方法利用ArcGIS 10.8建立南宁市农村地区2010—2019年结核病疫情数据库,绘制空间分布地图,并进行全局自相关、局部自相关及热点分析。结果南宁市农村地区2010—2019年年均报告发病率空间分布图显示:年均报告发病率高的乡镇为金钗镇和洋桥镇。全局自相关分析显示:2010—2019年Moran′s I指数为0.18(Z=2.27,P=0.02),提示南宁市农村地区结核病在区域分布中存在空间聚集性。局部自相关分析显示:南宁市农村地区结核病呈高-高聚集、低-低聚集、高-低聚集及低-高聚集模式,其中金钗镇、里当瑶族乡为高-高聚集区域,黎塘镇、新福镇、云表镇及陶圩镇为低-低聚集区域。局部热点分析显示:金钗镇、洋桥镇、邹圩镇和里当瑶族乡为"热点"区域。结论南宁市农村地区结核病疫情存在空间聚集性,高发区域为金钗镇、洋桥镇、邹圩镇和里当瑶族乡,低发区域为黎塘镇、新福镇、云表镇及陶圩镇。 Objective To analyze the spatial distribution characteristics of tuberculosis in rural areas of Nanning City from 2010 to 2019,and explore the clustering areas,and to provide evidence for tuberculosis prevention and treatment.Methods The database of tuberculosis epidemics in rural areas of Nanning City from 2010 to 2019 was established by ArcGIS 10.8.The spatial distribution map was drawn.Global autocorrelation,local autocorrelation and hotspot analysis were conducted.Results The spatial distribution map of the average annual reported incidence rates in rural areas of Nanning from 2010 to 2019 showed that the towns with high average annual incidence rates were Jinchai Town and Yangqiao Town.Global autocorrelation analysis showed that the Moran′s I index from 2010 to 2019 was 0.18(Z=2.27,P=0.02),suggesting that tuberculosis in rural areas of Nanning had spatial clustering in the regional distribution.Local autocorrelation analysis showed that tuberculosis in rural areas of Nanning had high-high clustering,low-low clustering,high-low clustering and low-high clustering patterns.Among them,Jinchai Town and Lidang Town were high-high clustering areas.Litang Town,Xinfu Town Yunbiao Town and Taoxu Town were low-low clustering areas.Local hotspot analysis showed that"hotspot"areas included Jinchai Town,Yangqiao Town Zouxu Town and Lidang Town.Conclusion There is a spatial clustering of tuberculosis epidemics in rural areas of Nanning.The high-incidence areas include Jinchai Town,Yangqiao Town Zouxu Town and Lidang Town,and the low-incidence areas include Litang Town,Xinfu Town Yunbiao Town and Taoxu Town.
作者 何秋平 郭亮永 朱荣健 唐驰 HE Qiu-ping;GUO Liang-yong;ZHU Rong-jian;TANG Chi(Nanning Municipal Center for Disease Control and Prevention,Nanning 530023,China;Nanning Municipal Health Commission,Nanning 530028,China)
出处 《公共卫生与预防医学》 2022年第1期48-52,共5页 Journal of Public Health and Preventive Medicine
基金 南宁市科学技术局科技项目重点研发计划(20183039-3)。
关键词 农村地区 结核病 空间自相关 Rural areas Tuberculosis Spatial autocorrelation analysis
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