| 2006-2019年河南省麻疹空间分布特征分析 |
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| 引用本文： | 肖占沛,杨凯朝,马雅婷,张明瑜,王长双,王燕,张延炀. 2006-2019年河南省麻疹空间分布特征分析[J]. 现代预防医学, 2021, 0(2): 329-334 |
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| 作者姓名： | 肖占沛 杨凯朝 马雅婷 张明瑜 王长双 王燕 张延炀 |
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| 作者单位： | 河南省疾病预防控制中心免疫规划与预防所，河南 郑州450016 |
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| 摘 要： | 目的 分析河南省2006-2019年麻疹的空间分布特征,识别高危聚集区,为麻疹防控提供科学建议.方法 基于中国传染病监测信息报告管理系统和麻疹监测信息报告管理系统,采用GeoDa 1.6和ArcGIS 10.7软件对河南省2006-2019年麻疹发病情况进行分析,探索其空间分布规律和高危聚集区.结果 三维趋势分析显示,...
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| 关 键 词： | 麻疹 趋势面分析 空间自相关 地理信息系统 |
Spatial distribution of measles in Henan Province 2006-2019 |
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| XIAO Zhan-pei,YANG Kai-chao,MA Ya-ting,ZHANG Ming-yu,WANG Chang-shuang,WANG Yan,ZHANG Yan-yang. Spatial distribution of measles in Henan Province 2006-2019[J]. Modern Preventive Medicine, 2021, 0(2): 329-334 |
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| Authors: | XIAO Zhan-pei YANG Kai-chao MA Ya-ting ZHANG Ming-yu WANG Chang-shuang WANG Yan ZHANG Yan-yang |
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| Affiliation: | Immunization Planning Institute, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan 450016, China |
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| Abstract: | Objective To analyze the spatial distribution characteristics of measles in Henan Province from 2006-2019, identify high-risk aggregation areas, and provide scientific suggestions for measles prevention and control. Methods Based on China’s Infectious Disease Surveillance Information Reporting Management System and Measles Surveillance Information Reporting Management System, GeoDa1.6 and ArcGIS10.7 software were used to analyze the incidence of measles, spatial distribution,and high-risk aggregation areas in Henan Province from 2006 to 2019. Results Three-dimensional trend analysis showed that the incidence of measles in Henan Province gradually declined from southern region to northern region, drawing the “U”shape curve in the east-west direction and slightly higher in the east than in the west. Global spatial autocorrelation results showed that, except for 2019, the Moran’s I values of global incidence of measles in Henan Province from 2006 to 2018 were all positive, suggesting an aggregated distribution. Local autocorrelation results showed that 139 high-risk and high-risk aggregation areas were identified from 2006 to 2019, mainly distributed around Zhengzhou and inter-provincial border counties. Conclusion Spatial aggregation was found in the measles incidence in Henan Province from 2006 to 2019. The counties around the provincial capital city and inter-provincial borders are the key areas for future prevention and control. |
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| Keywords: | Measles Trend surface analysis Spatial autocorrelation Geographic information system |
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