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2025, 06, v.19 348-352
2014—2023年重庆市渝北区水痘流行特征及发病趋势预测
基金项目(Foundation):
邮箱(Email): 1491873546@qq.com;
DOI: 10.16760/j.cnki.sdggws.2025.06.006
发布时间: 2025-12-28
出版时间: 2025-12-28
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摘要:

目的 分析重庆市渝北区2014—2023年水痘流行特征并对未来趋势进行预测,为科学防控水痘提供决策依据。方法 运用描述性分析方法对渝北区2014—2023年水痘流行特征进行分析,采用空间自相关分析探索发病的时空聚集性,运用自回归积分滑动平均模型(ARIMA)对渝北区2024年11月—2025年10月水痘的发病趋势进行预测分析。结果 2014—2023年渝北区累计报告水痘病例23 237例,年均报告发病率为149.65/10万,2014—2018年水痘发病呈上升趋势(χ趋势2=46 404.000,P<0.001),2019—2022年呈下降趋势(χ趋势2=29 760.000,P<0.001),2023年有所反弹;全年各月均有水痘病例报告,发病高峰主要集中在4—6月和10—12月;报告病例的中位年龄为9岁,2014—2023年发病中位年龄呈上升趋势;男性发病率高于女性(χ2=13.383,P<0.001);报告发病率最高的年龄组为5~<10岁(6 940.81/10万);ARIMA(1,0,1)×(1,1,0)12模型预测渝北区2024年11月—2025年10月水痘发病趋势较2023—2024年同期(1 906例)下降18.31%,集中在4—6月和10—12月。结论 渝北区水痘发病呈季节性波动,5~<10岁儿童为高发人群,发病中位年龄呈上升趋势。需针对重点人群(15岁以下儿童)加强监测,严格落实学校及托幼机构等重点场所的晨午检制度,及时发现可疑病例并及时隔离,阻断水痘的传播。同时针对高发地区,有针对性地开展健康教育、水痘疫苗接种率监测与补种工作,提高人群免疫水平。

Abstract:

Objective To analyze the epidemic characteristics of varicella in Yubei district,Chongqing from 2014 to2023 and predict its future trends,providing decision-making basis for the scientific prevention and control of varicella.Methods Descriptive analysis was used to analyze the epidemic characteristics of varicella in Yubei district from 2014 to 2023;spatial autocorrelation analysis was adopted to explore the spatiotemporal aggregation of the incidence;the Autoregressive Integrated Moving Average Model(ARIMA) was applied to predict and analyze the incidence trend of varicella in Yubei district from November 2024 to October 2025.Results A total of 23 237 varicella cases were reported in Yubei district from 2014 to 2023,with an average annual reported incidence rate of 149.65 per 100 000 population.From 2014 to 2018,the incidence of varicella showed an upward trend(χtrend2=46 404.000,P <0.001);from 2019 to 2022(χtrend2=29 760.000,P <0.001);and there was a rebound in 2023.Varicella cases were reported every month throughout the year,with the peak incidence mainly concentrated in April-June and October-December.The median age of the reported cases was 9 years old,and the median age of onset showed an increasing trend from 2014 to 2023.The incidence rate in males was higher than that in females(χ2=13.383,P <0.001).The age group with the highest reported incidence rate was 5-<10 years old(6 940.81 per 100 000population).The ARIMA(1,0,1) ×(1,1,0)12 model predicted that the incidence trend of varicella in Yubei district from November 2024 to October 2025 would decrease by 1.21% compared with the same period of 2023-2024(1 906 cases),with the cases concentrated in April-June and October-December.Conclusions The incidence of varicella in Yubei district fluctuates seasonally.Children aged 5-<10 years are the high-incidence population,and the median age of onset is on the rise.It is necessary to strengthen surveillance for key populations(children under 15 years old),strictly implement the morning and afternoon inspection system in key places such as schools and kindergartens,promptly detect suspicious cases and isolate them in a timely manner to block the transmission of varicella.Meanwhile,targeted health education,as well as monitoring and supplementary vaccination of varicella vaccination rates,should be carried out in high-incidence areas to improve the population ' s immune level.

参考文献

[1]国家卫生健康委员会办公厅,国家中医药局综合司.关于印发鼠疫等传染病诊疗方案(2023年版)的通知:国卫办医急函[2023]482号[EB/OL].(2023-12-14)[2024-12-24].https://www.nhc.gov.cn/wjw/c100378/202312/c946629db4454bc3a0766adef06306b7.shtml.

[2]朱明轮,崔艳梅,邢秀伟,等.水痘突发公共卫生事件流行病学特征分析[J].中国病原生物学杂志,2024,19(2):183-186,195.

[3]董蒲梅,王淼,刘燕敏.2016—2019年中国水痘流行病学特征[J].中国疫苗和免疫,2020,26(4):403-406.

[4]胡永娇,邓晶,王青,等.2014—2020年重庆市水痘流行特征分析及疫情预测[J].公共卫生与预防医学,2024,35(2):39-43.

[5]邱晓玲,魏荣杰,张霞,等.2013—2023年四川省水痘流行特征及短期趋势分析[J].预防医学情报杂志,2025,41(7):851-860.

[6]重庆市渝北区统计局.重庆渝北统计年鉴2023[EB/OL].(2023-11-02)[2024-12-24].http://www.ybq.gov.cn/bm/qtjj/zwgk_70831/fdzdgknr_70834/ysjs_108648/tjnj_249881/202311/t20231102_12507277.html.

[7]侯瑞娟,焦雪成,王兰珍,等.河南省濮阳市新型冠状病毒肺炎疫情应急响应对常见呼吸道和肠道传染病发病影响分析[J].河南预防医学杂志,2022,33(3):184-188,200.

[8]常雪晴,姜泽鑫,刘富强,等.2014—2021年湖南省水痘疫情分析及发病趋势预测[J].中国预防医学杂志,2023,24(3):238-242.

[9]刘丹丹,宋健.2018—2022年内蒙古自治区水痘流行特征分析[J].中国初级卫生保健,2024,38(6):60-62.

[10]唐丽,黄淑琼,蔡晶,等.2010—2019年湖北省水痘流行病学特征及发病趋势预测分析[J].实用预防医学,2023,30(1):1-4.

[11]赵金华,龙江,赵建海,等.2010—2020年青海省水痘流行特征分析及时空动态研究[J].现代预防医学,2022,49(15):2700-2703.

[12]周路平,张颖,刘玮,等.2005—2023年宁夏回族自治区水痘流行病学特征[J].中国疫苗和免疫,2024,30(5):583-589.

[13]李倩,靳玉惠,王波,等.合肥市2012—2021年水痘流行病学特征分析[J].安徽预防医学杂志,2023,29(2):151-155.

[14]刘珍珠,田海珍,胡宝翠.2013—2021年青岛市市北区水痘流行特征分析[J].中国初级卫生保健,2023,37(3):65-67.

[15]周良.2010—2023年成都市新都区水痘流行病学特征分析[J].预防医学情报杂志,2024,40(9):1068-1073.

[16]杨亚,张倩.ARIMA模型在水痘发病趋势预测中的应用[J].健康教育与健康促进,2023,18(2):149-152.

[17]刘志坚,聂莉,更登洛.2007—2023年甘孜州丹巴县水痘流行特征分析及疫情预测[J/OL].预防医学情报杂志,[2025-03-24].https://doi.org/10.19971/j.cnki.1006-4028.240624.

[18]梁维,李正强,王爱民,等.2013—2022年重庆市大足区水痘流行特征分析及对2023年趋势预测[J].传染病信息,2023,36(4):355-359.

[19]孙振球.医学统计学[M].3版.北京:人民卫生出版社,2010:390-403.

[20]王芝梦,方惟一,卢耀勤,等.2014—2019年乌鲁木齐市水痘流行特征以及预测模型分析[J].公共卫生与预防医学,2025,36(1):53-56.

[21]常雪晴,姜泽鑫,刘富强,等.2014—2021年湖南省水痘疫情分析及发病趋势预测[J].中国预防医学杂志,2023,24(3):238-242.

基本信息:

DOI:10.16760/j.cnki.sdggws.2025.06.006

中图分类号:R181.3;R511.5

引用信息:

[1]彭李,杨森评,苏小元,等.2014—2023年重庆市渝北区水痘流行特征及发病趋势预测[J].首都公共卫生,2025,19(06):348-352.DOI:10.16760/j.cnki.sdggws.2025.06.006.

发布时间:

2025-12-28

出版时间:

2025-12-28

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