首页|Joinpoint回归模型在2005-2023年青海省流行性感冒发病趋势的应用

Joinpoint回归模型在2005-2023年青海省流行性感冒发病趋势的应用

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目的 分析2005-2023年青海省流行性感冒(简称流感)发病的流行特征和趋势,为高原地区特异性防控提供参考.方法 从中国疾病预防控制信息系统数据库中导出青海省流感发病数据,采用描述性研究方法分析2005-2023年青海省流感的发病率特征;采用Joinpoint回归模型评价2005-2023年青海省流感发病特征的时间变化趋势.结果 2005-2023年青海省累计报告流感病例31 156例,西宁市和海东市累计报告流感病例占全省的77.59%(24 174/31 156);2005-2023年青海省总发病率整体呈上升趋势,平均年度变化百分比(average annual percent change,AAPC)为31.18%(t=4.780,P<0.001);年发病率在性别趋势变化上呈平稳态势;0~<5岁组、5~<15岁组、15~<25岁组、25~<60岁组和≥60岁组发病率整体均呈上升趋势,AAPC分别为33.45%、31.20%、27.30%、27.31%和34.61%,所有年龄组发病率均以2021年为转折点,在转折点前缓慢上升,在转折点后急速上升.结论 2005-2023年青海省流感发病率整体呈上升趋势,且在2021年后快速增长,目前处于高发态势,应全面优化医疗资源调配,重点防控地区以西宁市、海东市为圆心向四周辐射;<15岁和≥60岁人群为高发人群,应加强学校、养老院等重点场所流感监测预警,同时积极推动该类人群接种流感疫苗.
Application of Joinpoint regression analysis in the trend of influenza incidence in Qinghai Province from 2005 to 2023
Objective To analyze the epidemic characteristics and trend characteristics of influenza epidemics in Qinghai Province from 2005 to 2023,provide a reference to the specific prevention and control in the plateau areas.Methods The influenza incidence data in Qinghai Province were extracted from the database of China information system for disease control and prevention.The incidence rate of influenza in Qinghai Province was analyzed descriptively from 2005 to 2023.Using the Joinpoint regression model was used to evaluate the time trend of the influenza incidence characteristics in Qinghai Province from 2005 to 2023.Results During 2005-2023,we have cumulatively reported 31 156 cases of influenza in Qinghai Province,of which 77.59%cases were in Xining and Haidong City(24 174/31 156).The total incidence rate in Qinghai Province in 2005-2023 showed an upward trend with an average annual percent change(AAPC)of 31.18%(t=4.780,P<0.001).The annual incidence rate remained stable in terms of the gender trend changes;and the incidence of the age group in 0-<5,5-<15,15-<25,25-<60,and ≥60 all showed an increasing trend,with AAPC rising at 33.45%,31.20%,27.30%,27.31%and 34.61%,respectively.All age groups showed a turning point in 2021,which slowly rose before the turning point.Conclusions From 2005 to 2023,influenza incidence in Qinghai Province as a whole showed a slow-rapid rise and is currently in a high incidence situation,which should optimize the deployment of medical resources;the key prevention and control and control areas are Xining City and Haidong City as the center of the circle radiating in all directions;the groups under 15 years old and over 60 years old are the high incidence groups.It is essential to strengthen influenza monitoring and early warning in key locations such as schools and nursing homes,while actively promoting influenza vaccination for these groups.

InfluenzaIncidence rateJoinpoint regression model

覃胜林、赵金华、邓萍、张阳、姜雨淇

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青海大学医学院公共卫生系,西宁 810001

青海省疾病预防控制中心传染病预防控制所,西宁 810007

流行性感冒 发病率 Joinpoint回归分析

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(11)