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云南省2010-2021年流行性腮腺炎流行病学特征及时空聚集性 被引量:2

Epidemiological characteristics and spatial-temporal aggregation analysis of epidemic mumps in Yunnan Province from 2010 to 2021
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摘要 目的通过对2010-2021年云南省流行性腮腺炎(流腮)流行病学特征和发病率时空分布特征进行分析,探讨其发病时空聚集区域及影响因素,以期为云南省流腮有效预防和控制措施的制定提供理论依据。方法采用GeoDa 1.8.12、SaTScan 9.5、ArcGis 10.8等软件,以云南省2010-2021年流腮上报的发病资料为研究对象,在县区级的基础上,进行全局-局部的空间自相关分析及空间异质性分析,并进行时空扫描。结果云南省2010-2021年共报告流腮病例124786例,年平均发病率为22.14/10万;发病率男性高于女性;其中5~<10岁儿童发病率最高(129.86/10万);发病季节趋势显著,主要集中于5-7月和11-12月;年平均发病率排名前3位的地区分别为德宏傣族景颇族自治州(德宏州)、迪庆藏族自治州(迪庆州)和西双版纳傣族自治州(西双版纳州);流腮发病存在空间聚集性;“高-高”聚集区主要分布在昆明市、德宏州、保山市和临沧市;“低-低”聚集区从滇西地区逐步向滇南地区扩散;影响流腮发病的因素主要为人均国内生产总值(gross domestic product,GDP)、海拔和年平均气温;时空扫描结果显示最大可能聚集区分布在滇西北及滇中地区,聚集时间为2010年5月18日-2012年1月23日。结论2010-2021年云南省流腮的发病率在空间及时间上均呈聚集区域分布,对流腮防控措施的制定提供了科学的参考依据。 Objective This study aimed to analyze the epidemiological characteristics of epidemic mumps and the spatial-temporal distribution of its incidence in Yunnan Province from 2010 to 2021.It also aimed to explore the spatial-temporal aggregation area and the influencing factors of the disease,providing a theoretical basis for effective prevention and control measures of mumps in Yunnan Province.Methods County-level global/local spatial autocorrelation analysis and spatial heterogeneity analysis which based on GeoDa 1.8.12,SaTScan 9.5,and ArcGis 10.8 software were performed on the reported cases of epidemic mumps in Yunnan Province from 2010 to 2021.Results A total of 124786 epidemic mumps cases were reported in Yunnan Province from 2010 to 2021.The average annual incidence rate was 22.14 per hundred thousand.The incidence was higher in men than in women.And the highest incidence rate was in children aged 5-<10(129.86 per hundred thousand).The incidence also had a distinct seasonal trend.A bimodal distribution was presented annually,one of which was concentrated from May to July,and the other arose from November to December.Dehong Prefecture had the highest average annual incidence rate,followed by Diqing Prefecture and Xishuangbanna Prefecture.There was also a spatial aggregation in the incidence of the disease.The"high-high"cluster areas were mainly distributed in Kunming,Dehong,Baoshan and Lincang cities.The"low-low"clusters gradually spread from western Yunnan to southern Yunnan.The main factors affecting the incidence of epidemic mumps were per capita gross domestic product(GDP),altitude,and annual average temperature.The spatial-temporal scanning from 2010 to 2021 showed that the maximum possible clusters were distributed in northwest and central Yunnan,and the aggregation period was from May 18,2010 to January 23,2012.Conclusions The incidence of epidemic mumps in Yunnan Province(2010-2021)is distrbuted in spatial and temporal clustering areas,which can provide scientific reference for formulating epidemic mumps prevention and control measures.
作者 沈秀莲 王俊瑛 黄甜 周勤 彭霞 常利涛 SHEN Xiulian;WANG Junying;HUANG Tian;ZHOU Qin;PENG Xia;CHANG Litao(Epidemic Surveillance/Public Health Emergency Response Center,Yunnan Provincial Center for Disease Control and Prevention,Kunming 650022,China;Kunming Medical University Library,Kunming 650500,China;Project Development Department,Yunnan Institute on Drug Abuse,Kunming 650228,China;Institution of School Health,Yunnan Provincial Center for Disease Control and Prevention,Kunming 650022,China)
出处 《中华疾病控制杂志》 CAS CSCD 北大核心 2023年第7期756-762,793,共8页 Chinese Journal of Disease Control & Prevention
基金 国家科技重大专项(2017ZX10103010-B05)。
关键词 流行性腮腺炎 流行病学特征 时空聚集性分析 地理加权回归模型 Epidemic mumps Epidemiological characteristics Spatial and temporal aggregation analysis Geographical weighted regression model
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