职业与健康 ›› 2025, Vol. 41 ›› Issue (24): 3368-3372.

• 论著 • 上一篇    下一篇

2000—2024年天津市肾综合征出血热流行特征分析与疫情趋势预测

赵健1, 刘怡芳2, 韩义霞3, 吕杰2   

  1. 1 天津市和平区疾病预防控制中心天津 300060
    2 天津市疾病预防控制中心天津 300011
    3 天津市滨海新区疾病预防控制中心天津 300000
  • 收稿日期:2025-08-24 修回日期:2025-09-12 出版日期:2025-12-15 发布日期:2026-01-22
  • 作者简介:赵健,男,主管医师,主要从事卫生应急工作。

Epidemiological analysis and trend prediction of hemorrhagic fever with renal syndrome in Tianjin from 2000 to 2024

ZHAO Jian1, LIU Yifang2, HAN Yixia3, LYU Jie2   

  1. 1 Tianjin Heping District Center for Disease Control and PreventionTianjin 300060, China
    2 Tianjin Centers for Disease Control and PreventionTianjin 300011, China
    3 Tianjin Binhai District Center for Disease Control and PreventionTianjin 300000, China
  • Received:2025-08-24 Revised:2025-09-12 Online:2025-12-15 Published:2026-01-22

摘要:

目的 掌握2000—2024年天津市肾综合征出血热(hemorrhagic fever with renal syndrome,HFRS)的流行特征并预测未来2年流行趋势,为今后疾病防控工作的开展提供依据。方法 采用描述流行病学方法对2000—2024年天津市HFRS疫情资料进行统计分析,使用自回归滑动平均模型(auto-regressive moving average model,ARIMA)预测未来3年发病趋势。结果 2000—2024年全市共报告病例1 944例,死亡26例,年均发病率0.57/10万。2000—2002年出现1波发病高峰,报告病例数占总病例数的49.9%。随后疫情快速回落,自2007年进入低水平波动期,2019年起HFRS年发病率稳定保持在<0.1/10万,无死亡病例报告。Joinpoint回归分析结果显示,天津市HFRS的发病整体呈现下降趋势(APC=-15.3%,95%CI:-18.3%~-12.1%, P<0.01),其中2004年和2007年为拐点,疫情下降速度出现变化,2004—2007年疫情下降趋势快,2007—2024年下降趋势较2000—2004年缓慢。发病呈现冬季小高峰和春季大高峰的双峰模式,1—6月季节指数>1,但2019年后疾病变为冬季单峰(11月—次年1月),且季节指数>1的月份数减少至3个月。疾病高发地区由原来的城区逐渐转移至远郊地区;男性发病数明显高于女性,男女性别比为3.6 ∶ 1,30~<50岁病例占总病例数的50.3%;职业分布以农民为主,占33.1%。鼠密度和鼠带毒率指标呈现下降趋势,鼠带毒指数与流行性出血热发病率呈正相关(r=0.732,P<0.01)。使用ARIMA模型预测天津市未来3年HFRS发病仍将保持稳定低发水平。结论 天津市HFRS疫情将继续保持疾病稳定低发状态,但因自然疫源性疾病的特点,仍需长期持续开展监测工作,掌握疾病的变化情况,同时积极探索新技术、新方法,提升监测效率。

关键词: 肾综合征出血热, 流行特征, 季节指数, 趋势预测, 预防控制

Abstract:

Objective To understand the epidemiological characteristics of hemorrhagic fever with renal syndrome(HFRS) in Tianjin from 2000 to 2024 and predict the epidemic trend for the next three years,thereby providing a basis for future prevention and control efforts. Methods The descriptive epidemiological method was conducted on the surveillance data of HFRS in Tianjin from 2000 to 2024,and the auto-regressive moving average model(ARIMA) model was used to predict the incidence trend for the next two years. Results From 2000 to 2024,a total of 1 944 HFRS cases were reported in Tianjin,with 26 deaths,the average annual incidence rate was 0.57/100 000. A significant peak in cases occurred between 2000 and 2002,with the number of cases reported during these three years accounting for 49.9% of the total cases. Subsequently,the epidemic declined rapidly,entering a period of low-level fluctuations since 2007. The annual incidence rate of HFRS in Tianjin had remained consistently below 0.1/100 000 since 2019,with no death. Joinpoint regression analysis showed that the overall incidence of HFRS in Tianjin showed a downward trend(APC=-15.3%,95%CI:-18.3%- -12.1%,P<0.01),the decline rate changed in 2004 and 2007,and the decline trend was faster during 2004-2007. The decline trend during 2007-2024 was slower than that in 2000-2004. The incidence showed a bimodal pattern of small winter peak and big spring peak. The seasonal index from January to June was >1,the disease became a winter single peak(November to January of the following year) since 2019,and the number of months with seasonal index >1 also decreased to 3 months. Areas with high incidence of diseases had gradually shifted from urban areas to rural areas. The number of cases in men was significantly higher than that of women,and the sex ratio was 3.6 ∶ 1. The cases aged 30-<50 years old accounted for 50.3% of the total cases,and the occupational distribution was dominated by farmers(33.1%). The index of rat density and rat toxicity showed a downward trend,and the carry virus index of rat was positively correlated with the incidence of epidemic hemorrhagic fever(r=0.732,P<0.01). The ARIMA model predicted that the incidence of HFRS in Tianjin would remain steadily low in the next 3 years. Conclusion The HFRS epidemic in Tianjin will continue to maintain a steadily low state,but due to the characteristics of natural epidemic diseases,the relevant monitoring work still needs to be carried out for a long time to grasp the changes in the disease. At the same time,new technologies and new methods should be actively explored to improve the monitoring efficiency.

Key words: Hemorrhagic fever with renal syndrome, Epidemic characteristics, Seasonal index, Trend prediction, Prevention and control

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