首页|2017-2022年六安市基于乡镇尺度的流行性腮腺炎时空聚集性分析

2017-2022年六安市基于乡镇尺度的流行性腮腺炎时空聚集性分析

扫码查看
目的 分析六安市基于乡镇尺度的流行性腮腺炎的流行特征及其时空聚集性,为精准防控提供数据支持.方法 收集2017-2022年六安市139个乡镇街道的流行性腮腺炎监测数据,采用描述流行病学方法分析其流行特征.运用SaTScan 9.6软件对监测数据进行时空扫描分析,探测其时间和空间聚集性;使用ArcGIS 10.7软件采用全局和局部空间自相关分析方法对监测数据进行分析.结果 2017-2022年六安市共报告流腮病例4 475例,年均发病率为12.73/10万,2019年发病率最高(20.81/10万),发病总体呈先上升后下降趋势.2020年以前呈季节性,春末夏初和冬季为高发季节,2021年后发病季节性不再明显.<15岁的学生和儿童为高风险人群,占总体病例数的77.16%.发病率居前3位的区县分别为金寨县(28.32/10万)、霍山县(20.79/10万)和叶集区(18.82/10万).发病率位居前3位的乡镇分别为小华山街道(76.80/10万)、望城街道(68.69/10万)、太阳乡(64.93/10万).2017-2022年流行性腮腺炎发病率均存在空间相关性,2017-2022年局部自相关分析显示,高-高聚集地区主要分布城北乡、三十铺镇、清水河街道、三里桥街道、东市街道、中市街道、鼓楼街道、望城街道、小华山街道、平桥乡、城南镇、中店乡、先生店乡、新安镇、韩摆渡镇、分路口镇,金寨县沙河乡、关庙乡、吴家店镇、古碑镇、果子园乡、天堂寨镇、青山镇以及霍山县上土市镇和太平畈乡,2019年分布范围最为广泛.时空扫描分析,共识别4个聚集区,一类聚集区是以市区东市街道为中心的12个乡镇,4个二类区域分别以金寨县和霍山县乡镇为核心,包括金寨县11个乡镇和霍山县2个乡镇;聚集时间在2018年10月到2019年4月.不同方法的空间聚集性具有相似性.结论 2017-2022年六安市流行性腮腺炎发病率存在时间和空间聚集性,发病热点范围较为稳定,未来需要加强对主城区以及金寨县和霍山县部分乡镇进行针对性防控.
Analysis on spatio-temporal cluster of mumps in Lu'an City from 2017 to 2022:Based on township scale
Objective To analyze the epidemic characteristics and spatio-temporal clustering of mumps based on township scale in Lu'an City,provide data support for precise prevention and control.Methods The mumps monitoring data of 139 townships in Lu'an City from 2017 to 2022 were collected,and the descriptive epidemiological methods were used to analyze its epidemic characteristics.SaTScan 9.6 software was used to perform spatiotemporal scanning analysis on monitoring data,to detect its temporal and spatial clustering.ArcGIS 10.7 software was used to analyze monitoring data by the global and local spatial autocorrelation analysis methods.Results From 2017 to 2022,there were 4 475 cases of mumps in Lu'an City,and the average annual incidence rate was 12.73/100 000.The incidence rate was highest in 2019(12.73/100 000).The incidence rate appeared a tendency towards arise and then decline.There was a seasonality before 2020,with peak seasons of late spring,early summer and winter,while the seasonality of the onset was not significant after 2021.The mumps mainly occurred in the children and students under 15 years old,accounting for 77.16%of total cases.The top three county/district of the incidence were Jinzhai County(28.32/100 000),Huoshan County(20.79/100 000),Yeji District(18.82/100 000).The top three town of the incidence were Xiaohuashan Street(76.80/100 000),Wangcheng Street(68.69/100 000)and Taiyang Town(64.93/100 000).The incidence of mumps from 2017 to 2022 showed spatial correlation.The results of local autocorrelation analysis from 2017 to 2022 showed that the"high-high"area covered Chengbei Township,Sanshipu Town,Qingshuihe Street,Sanliqiao Street,Dongshi Street,Zhongshi Street,Gulou Street,Wangcheng Street,Xiaohuashan Street,Pingqiao Township,Chengnan Town,Zhongdian Township,Xianshengdian Township,Xin'an Town,Hanbaidu Town,Fenlukou Town,and Shahe Township,Guanmiao Township,Wujiedian Town,Gubei Town,Guoziyuan Township,Tiantangzhai Town,Qingshan Town of Jinzhai County,and Shantushi Town,Taipingfan Township of Huoshan County,and the widest distribution ranged in 2019.The spatio-temporal scanning analysis identified a total of four clustering areas,the primary clustering area was a cluster of 12 townships centered around Dongshi Street in the urban area,and four secondary areas were centered around townships in Jinzhai County and Huoshan County,including 11 townships in Jinzhai County and 2 townships in Huoshan County.The clustering time was from October 2018 to April 2019.The spatial clustering of different methods has similarities.Conclusion From 2017 to 2022,there is the spatial-temporal clustering of mumps incidence in Lu'an City,the range of hotspots of the disease is relatively stable,and it is necessary to strengthen targeted prevention and control measures in the main urban area,as well as some townships in Jinzhai County and Huoshan County in the future.

MumpsSpatial autocorrelationSpatio-temporal scan analysisSpatial-temporal clusterEpidemic characteristics

程凯、秦伟、王瑶、潘璠

展开 >

六安市疾病预防控制中心急性传染病防治科,安徽六安 237000

流行性腮腺炎 空间自相关 时空扫描分析 时空聚集性 流行特征

2021年安徽省卫生健康委员会重点科研项目

AH-WJ2021a027

2024

职业与健康
天津市疾病预防控制中心 中华预防医学会

职业与健康

CSTPCD
影响因子:0.737
ISSN:1004-1257
年,卷(期):2024.40(12)