首页|2005-2020年我国布鲁菌病发病率年龄时期队列分析及趋势预测

2005-2020年我国布鲁菌病发病率年龄时期队列分析及趋势预测

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目的 分析我国布鲁菌病发病率随年龄、时期和出生队列变化趋势,为布鲁菌病防控提供理论依据.方法 2005-2020年布鲁菌病发病数据来源于中国公共卫生科学数据中心.采用Joinpoint回归模型进行分段时间趋势分析,利用估计年百分比变化(estimated annual percentage change,EAPC)分析不同年龄段发病趋势,应用年龄-时期-队列模型探讨年龄、时期和出生队列对布鲁菌病发病率的影响.结果 EAPC分析显示,0~<5岁和≥50岁年龄段布鲁菌病发病增长率11.83%(7.67%~16.14%)高于平均发病增长率5.59%(95%CI:3.12%~8.12%),Joinpoint 回归模型显示,总体年均增长率为 4.88%(95%CI:2.65%~6.77%),2014年以前,发病率快速升高,2014年以后,缓慢降低.年龄-时期-队列模型结果显示,年龄、时期、队列对布鲁菌病发病均有显著影响,2005-2020年中国布鲁菌病发病率随着年龄增长,先缓慢升高,然后快速升高,最高点在65~<70岁,达到10.02/10万(95%CI:8.68/10万~11.56/10万);时期效应表明,布鲁菌病发病风险随着年份推移逐渐升高,并维持在相对较高的状态,以2010-2014年为参考,2005-2020年发病风险值由0.61上升至1.05,发病率由1.96/10万上升至3.37/10万;队列效应表明,相对于1970年出生队列,1925年出生队列相对危险度最低,为0.08(95%CI:0.03~0.25),2020年出生队列相对危险度最高,为3.93(95%CI:2.13~7.25).基于Nordpred的布鲁菌病发病预测显示,近期内布鲁菌病发病有增加的趋势,预计到2025年布鲁菌病发病率将达到3.94/10万.结论 中国布鲁菌病发病受年龄、时期、队列等因素的影响,发病率有升高趋势,应采取针对性的防控措施降低布鲁菌病负担.
Age-period-cohort analysis and trend prediction of brucellosis incidence in China from 2005 to 2020
Objective To analyze the trends in the incidence of brucellosis in China from 2005 to 2020 based on age,period,and birth cohort and to provide a theoretical basis for brucellosis prevention and control.Methods The incidence data of brucellosis in residents from 2005 to 2020 were collected from the China Pub-lic Health Science Data Center.A Joinpoint regression model was used to analyze the segmented time trend,while the estimated annual percentage change(EAPC)was used to analyze the overall incidence trend across different age groups.The age-period-cohort(APC)model was used to investigate the effects of age,period,and cohort characteristics on the incidence of brucellosis.Results EAPC analysis showed that the growth rate of 0-<5 years old and all ≥50 years old[11.83%(95%CI:7.67%-16.14%)]were higher than the average incidence rate[5.59%(95%CI:3.12%-8.12%)].Joinpoint regression model showed that the overall average annual growth rate was 4.88%(95%CI:2.65%-6.77%).Before 2014,the incidence rate increased rapidly,and after 2014,it slowly decreased.Age-period-cohort model analysis showed that age,period and cohort all had significant effects on the incidence of brucellosis.From 2005 to 2020,the incidence of brucellosis in China increased slowly at first and then rapidly with the increase of age,with the highest point ranging from 65 to<70 years old,reaching 10.02/100 000(95%CI:8.68/100 000-11.56/100 000).The period effect showed that the risk of brucellosis gradually increased with the passage of years and maintained at a relatively high state.Taking 2010-2014 as a reference,the relative risk of brucellosis increased from 0.61 to 1.05,and the inci-dence increased from 1.96 per 100 000 to 3.37 per 100 000 during 2005-2020.The cohort effect showed that compared with the 1970 cohort,the 1925 cohort had the lowest relative risk of 0.08(95%CI:0.03-0.25)and the 2020 cohort had the highest relative risk of 3.93(95%CI:2.13-7.25).The forecast of Brucellosis based on Nordpred shows that the incidence of brucellosis is increasing in the near future and is expected to reach 3.94 per 100 000 by 2025.Conclusions The incidence of brucellosis in China is affected by age,period,co-hort,and other factors.The incidence of brucellosis in China has been increasing in recent years.Targeted pre-vention and control measures should be taken to reduce the burden of brucellosis in China.

BrucellosisJoinpoint modelAge-period-cohort modelPrediction

王太武、韩一芳、曹勇平、孙昕、饶继先、贾令茹、杨晓红、艾乐乐、张锦海、陈乐如

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中国人民解放军东部战区疾病预防控制中心,江苏南京 210000

江苏省军区南京第22离职干部休养所门诊部

无锡联勤保障中心

布鲁菌病 Joinpoint模型 年龄-时期-队列模型 预测

2024

中国预防医学杂志
中华预防医学会

中国预防医学杂志

CSTPCD
影响因子:1.004
ISSN:1009-6639
年,卷(期):2024.25(11)