首页|2010-2023年杭州市猩红热流行病学特征及时空聚集性分析

2010-2023年杭州市猩红热流行病学特征及时空聚集性分析

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目的 探索2010-2023年杭州市猩红热的流行病学特征及其时空分布特点,为杭州市猩红热防控策略的制定和合理配置卫生资源提供科学依据.方法2010-2023年杭州市猩红热发病数据来源于中国疾病预防控制信息系统,采用Joinpoint 5.1.0软件对猩红热发病数据进行趋势分析,运用ArcGIS 10.8软件开展空间自相关分析,使用SaTScan 10.1.2软件进行时空扫描分析.结果2010-2023年杭州市猩红热的年均发病率为5.06/10万;Joinpoint回归分析结果显示,2015-2023年杭州市各年的猩红热发病率呈下降趋势.病例分布呈季节性,春末夏初(4-6月)和秋末冬初(11月—次年1月)为发病高峰期.病例主要为3~<9岁组(85.79%)、男性(61.00%)和幼托儿童(47.09%).拱墅区和上城区是杭州市猩红热的高发区域,占所有报告病例的35.73%(2 459/6 882).全局自相关分析显示,除2011年、2013年和2014年外,其余各年猩红热发病率均存在空间相关性(均P<0.05);局部空间自相关分析显示,2010-2023年杭州市猩红热发病率均有热点区域("高-高"聚集)出现,且相对集中分布于东北部和中部区域.时空扫描分析共探测到3个聚集区,其中一类聚集区主要位于上城区、拱墅区的13个街道,聚集时间为2014年3月—2016年6月.结论2010-2023年,杭州市猩红热疫情先呈上升趋势,自2015年后呈下降趋势,全市存在时空聚集性,主要集中于杭州市东北部和中部区域,应加强高发地区和人群的健康教育以及疾病监测工作.
Epidemiological characteristics and spatial-temporal clustering of scarlet fever in Hangzhou from 2010 to 2023
Objective This study aims to explore the epidemiology and spatial-temporal clustering characteristics of scarlet fever in Hangzhou from 2010 to 2023,providing a scientific basis for the formulation of prevention and control strategies for scarlet fever as well as the rational allocation of health resources in Hangzhou.Methods The incidence data of scarlet fever in Hangzhou from 2010 to 2023 came from China Disease Prevention and Control Information System.Joinpoint 5.1.0 software was used to analyze the trend of scarlet fever incidence data,and ArcGIS 10.8 software was used to carry out spatial autocorrelation analysis.SaTScan 10.1.2 was used to perform spatio-temporal scan analysis.Results The average annual incidence of scarlet fever in Hangzhou from 2010 to 2023 was 5.06 per 100 000 population.Joinpoint regression analysis revealed a decreasing trend in the incidence of scarlet fever in Hangzhou from 2015 to 2023.The distribution of cases exhibited distinct seasonal patterns,peaking in late spring to early summer(April to June)and late autumn to early winter(November to January of the following year).The majority of cases were among children aged 3~<9 years(85.79%),males(61.00%),and preschool children(47.09%).Gongshu District and Shangcheng District were identified as high-incidence areas,accounting for 35.73%(2 459/6 882)of all reported cases.The global autocorrelation analysis showed that the incidence of scarlet fever was spatially correlated in all years except 2011,2013 and 2014(P<0.05).Local spatial autocorrelation analysis indicated the presence of hotspots("high-high"clusters)of scarlet fever incidence in Hangzhou from 2010 to 2023,relatively concentrated in the northeastern and central regions.Spatiotemporal scan analysis detected three clusters,of which the primary cluster encompassed 13 neighborhoods in Shangcheng and Gongshu Districts,spanning from March 2014 to June 2016.Conclusions From 2010 to 2023,the epidemic of scarlet fever in Hangzhou initially shows a fluctuating upward trend,followed by a fluctuating downward trend after 2015.There is a significant spatial-temporal clustering in the city,primarily concentrated in the northeastern and central regions of Hangzhou.Enhanced health education and disease surveillance efforts should be implemented in high-incidence areas and populations.

Scarlet feverEpidemiological characteristicsSpatial autocorrelationSpatial-temporal clustering

王乙、王哲、金新叶、陶明勇、段晓健、朱一、贺兆锴、孙昼

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杭州市疾病预防控制中心(杭州市卫生监督所)传染病防制所,杭州 310021

猩红热 流行病学特征 空间自相关 时空聚集性

浙江省医药卫生科技计划项目杭州市医药卫生科技计划项目

2024KY1414A20200444

2024

中华疾病控制杂志
中华预防医学会 安徽医科大学

中华疾病控制杂志

CSTPCD北大核心
影响因子:1.862
ISSN:1674-3679
年,卷(期):2024.28(8)
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