2019—2021年桂北地区流感流行季节期间超额死亡分析  

Analysis of excess mortality during influenza epidemic season in northern Guangxi from 2019 to 2021

作　　者：石瑀[1] 黄灵[1] 杨艳 李君 SHI Yu;HUANG Ling;YANG Yan;LI Jun(Department of Chronic Diseases,Guilin Center for Disease Control and Prevention,Guilin,Guangxi 541001,China;不详)

机构地区：[1]桂林市疾病预防控制中心慢病科,广西桂林541001 [2]桂林医学院附属医院遗传与精准医学实验室

出　　处：《现代预防医学》2023年第15期2839-2843,共5页Modern Preventive Medicine

基　　金：广西壮族自治区卫生健康委员会自筹经费科研课题(Z20190665)。

摘　　要：目的 评估桂北地区2019—2021年与流感流行相关的死亡负担。方法 收集桂北地区2019—2021年的死因监测和流感病原学检测数据,并使用Serfling回归模型评估桂北地区不同病因、不同年份、不同年龄组、不同性别间的流感流行期超额死亡情况。结果 在2019—2021年全人群组中,全死因年均流感相关超额死亡率为17.47/10万,呼吸和循环系统疾病年均超额死亡率为16.50/10万。流感相关超额死亡主要发生在≥65岁老年人组中,该年龄组全死因年均流感超额死亡率为150.47/10万,呼吸和循环系统疾病年均超额死亡率为121.09/10万。性别在流感相关超额死亡中的差异无统计学意义。结论 在流感流行季节期间,流感病毒对≥65岁老年人造成相当大的死亡负担。本研究为完善桂北地区老年人流感疫苗接种计划和公共卫生决策提供重要信息。Objective To evaluate the death burden related to influenza epidemic in northern Guangxi from 2019 to 2021.Methods The data of death cause surveillance and influenza etiology in northern Guangxi from 2019 to 2021 were collected,and Serfling regression model was used to evaluate the excess death of influenza according to different etiology,different years,different age groups,and different genders in northern Guangxi.Results In the whole population group from 2019 to2021,the average annual excess mortality of influenza related deaths was 17.47/100 000,and that of respiratory and circula-tory diseases was 16.50/100 000.Influenza-related excess death mainly occurred in the elderly group ≥ 65 years old.The average annual excess mortality of influenza and respiratory and circulatory diseases in this age group was 150.47/100 000and 121.09/100 000,respectively.There was no significant difference in gender among influenza-related excess deaths.Conclusion During the influenza epidemic season,influenza virus causes a considerable death burden to the elderly ≥ 65years old.This study provides important information for improving the influenza vaccination plan and public health decisionmaking for the elderly in northern Guangxi.

关 键 词：流感 疾病负担 超额死亡 Serfling回归模型 

分 类 号：R511.7[医药卫生—内科学] R181.3[医药卫生—临床医学]