首页|2006-2021年京津冀地区水痘突发公共卫生事件特征及其社会经济影响因素分析

2006-2021年京津冀地区水痘突发公共卫生事件特征及其社会经济影响因素分析

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探讨京津冀地区水痘突发公共卫生事件(PHEE)疫情流行病学特征并分析其相关影响因素.用Excel整理突发公共卫生事件报告管理信息系统上报的2006-2021年京津冀水痘PHEE数据,以描述水痘PHEE流行特征;采用空间自相关、空间扫描方法以检验并确定其空间集群,并采用地理探测器分析社会经济因素的影响作用.2006-2021年京津冀地区水痘PHEE共计报告644起,发病18 052例,罹患率2.78%,报告事件每起病例数、持续时间与响应时间M(Q1,Q3)分别为22(15,35)例、19(7,34)d和7(4,17)d,河北省在事件响应时间与持续时间上短于北京市与天津市.2006和2007年报告的水痘PHEE最多,分别为112和106起,至2014年逐年下降,2014-2021年在2017-2019年出现小高峰;2006-2021年间水痘PHEE呈季节性双峰分布,分别为3至6月和10至次年1月,峰值在5月与12月.水痘PHEE在小学累计报告500起(78%),其中农村小学218起(34%)、县镇小学142起(22%)、城市小学140起(22%).水痘PHEE分布呈正向空间自相关并有较强空间集聚性,Moran's I为0.31,1类聚集区以承德市宽城满族自治县为中心,半径207 km,包含58个县区,LLR=3 550.23,RR=3.78.社会经济因素中影响力最高因素为0~24岁人口占比(q=0.22),各因素之间交互作用的影响相较于独立影响均为增强.综上,京津冀三地水痘PHEE疫情处置水平存在差异;水痘PHEE的主要发生于小学,尤其是农村地区的小学;水痘PHEE存在空间聚集性;人口结构相关因素对水痘PHEE发病风险影响力强.
Epidemiological characteristics and influencing factors of public health emergency events of varicella in the Beijing-Tianjin-Hebei region,2006-2021
To explore the epidemiological characteristics of public health emergency events(PHEE)of varicella in the Beijing-Tianjin-Hebei region and analyze its related influencing factors.Excel was used to organize the varicella data in the Beijing-Tianjin-Hebei region from 2006 to 2021,reported by the management information system of PHEE,to describe the epidemiological characteristics of varicella events.Spatial autocorrelation and spatial scanning methods were used to test and determine its spatial clusters.Geographic detectors were used to analyze the impact of socio-economic factors.From 2006 to 2021,there were 644 reported varicella events in the Beijing-Tianjin-Hebei region,with a total of 18 052 cases and an incidence rate of 2.78%.The number,duration and response time M(Q1,Q3)of each reported event were 22(15,35)cases,19(7,34)days and 7(4,17)days,respectively.Hebei Province had a shorter response time and duration of events compared to Beijing and Tianjin.The most reported varicella events were in 2006 and 2007,with 112 and 106 events,respectively.By 2014,the number of events had decreased yearly,and there was a small peak from 2017 to 2019 between 2014 and 2021.From 2006 to 2021,the PHEE of varicella showed a seasonal bimodal distribution from March to June and from October to January of the following year,with peaks in May and December.There was a total of 500 reported varicella events in primary schools,including 218 events in rural primary schools(34%),142 events in county and town primary schools(22%)and 140 events in urban primary schools(22%).The distribution of varicella events showed a positive spatial autocorrelation and strong spatial clustering,with Moran's I of 0.31.The Class 1 clustering area was centered in Kuancheng Manchu Autonomous County,Chengde City,with a radius of 207 km and included 58 districts(LLR=3 550.23,RR=3.78).The most explanatory factor among socio-economic factors was the proportion of the population aged 0-24 years old(q=0.22),and the interaction effect between each factor was stronger than the independent effect.Overall,there are differences in the level of handling varicella events across Beijing,Tianjin and Hebei.The main occurrence of varicella events is in primary schools,especially in rural areas.Varicella events exhibit spatial clustering.Population structure-related factors have a strong impact on the risk of the incidence of varicella events.

VaricellaPublic health emergency eventSurveillance

刘欣雨、王苗苗、尤美莹、王培涵、王天奇、陈欣梅、徐成东、李旭东、王丽、胡跃华、殷大鹏

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中国疾病预防控制中心流行病学办公室,北京 102206

中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101

北京市卫生大数据与政策研究中心数据资源与统计处,北京 100034

河南大学地理与环境学院,开封 475001

海南省疾病预防控制中心传染病预防控制所,海口 570203

海南省预防医学科学院,海口 570203

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水痘 突发公共卫生事件 监测

2024

中华预防医学杂志
中华医学会

中华预防医学杂志

CSTPCD北大核心
影响因子:1.652
ISSN:0253-9624
年,卷(期):2024.58(12)