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CN 34-1304/RISSN 1674-3679

Volume 29 Issue 2
Feb.  2025
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HUANG Zhengqiang, CAI Shaojian, ZHAN Meirong, CHEN Wu, OU Jianming, WU Shenggen. Epidemiological characteristics and spatiotemporal analysis of influenza in Fujian Province, from 2010 to 2023[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(2): 193-198. doi: 10.16462/j.cnki.zhjbkz.2025.02.011
Citation: HUANG Zhengqiang, CAI Shaojian, ZHAN Meirong, CHEN Wu, OU Jianming, WU Shenggen. Epidemiological characteristics and spatiotemporal analysis of influenza in Fujian Province, from 2010 to 2023[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(2): 193-198. doi: 10.16462/j.cnki.zhjbkz.2025.02.011

Epidemiological characteristics and spatiotemporal analysis of influenza in Fujian Province, from 2010 to 2023

doi: 10.16462/j.cnki.zhjbkz.2025.02.011
Funds:

Fujian Natural Science Foundation 2020J01094

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  • Corresponding author: WU Shenggen, E-mail: lxbywstj@126.com
  • Received Date: 2024-04-29
  • Rev Recd Date: 2024-09-12
  • Available Online: 2025-03-08
  • Publish Date: 2025-02-10
  •   Objective  To analyze the epidemiological characteristics and spatiotemporal distribution of influenza incidence in Fujian Province from 2010 to 2023, and provide a reference for scientific prevention and control.  Methods  The Joinpoint regression model was used to analyze the incidence trend, the epidemiological characteristics of influenza were described by using the descriptive analysis methods. ArcGIS 10.3 software was used to draw the incidence map and perform spatial auto-correlation analysis. The retrospective spatiotemporal scanning analysis was conducted using the SaTScan 10.1.2 software.  Results  From 2010 to 2023, a total of 343 909 cases of influenza was reported in Fujian Province, with an average annual incidence rate of 63.38 per 100 000 people. The incidence rate generally showed an upward trend, with an average annual percentage change (AAPC) of 38.56% (Z=6.86, P < 0.001). The disease mainly affected people aged 0-14 years old. There was both global and local autocorrelation in the incidence of influenza, with high-high clustering areas mainly located in some counties and districts along the southern coast of Zhangzhou and Xiamen. Spatial-temporal scan analysis has found that the main clustering areas were mainly in Zhangzhou and Xiamen, with clustering periods mostly occurring between November of each year and January of the next year, and occasionally occurring between June and August.  Conclusions  The incidence of influenza in Fujian has an upward trend from 2010 to 2023, and it is necessary to strengthen monitoring and prevention measures in key areas and populations, and more studies should be carried out to analyze the factors that affect the areas with high incidence of influenza and formulate corresponding prevention and control policies.
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  • [1]
    Hay AJ, Gregory V, Douglas AR, et al. The evolution of human influenza viruses[J]. Philos Trans R Soc : Biol Sci, 2001, 356(1416): 1861-1870. DOI: 10.1098/rstb.2001.0999.
    [2]
    任瑞琦, 周蕾, 倪大新. 全球流感大流行概述[J]. 中华流行病学杂志, 2018, 39(8): 1021-1027. DOI: 10.3760/cma.j.issn.0254-6450.2018.08.002.

    Ren RQ, Zhou L, Ni DX. Overview of global influenza pandemic[J]. Chin J Epidemiol, 2018, 39(8): 1021-1027. DOI: 10.3760/cma.j.issn.0254-6450.2018.08.002.
    [3]
    World Health Organization. Global influenza strategy 2019-2030[EB/OL]. (2019)[2024-06 -09]. https://apps.who.int/iris/handle/10665/311184 .
    [4]
    刘云广, 黄茜, 张乐, 等. 2004-2018年中国流行性感冒发病率的时空分析及其预测模型研究[J]. 中华疾病控制杂志, 2023, 27(2): 176-183. DOI: 10.16462/j.cnki.zhjbkz.2023.02.009.

    Liu YG, Huang Q, Zhang L, et al. Spatio-temporal analysis of influenza incidence in China from 2004 to 2018 and its prediction model[J]. Chin J Dis Control Prev, 2023, 27(2): 176-183. DOI: 10.16462/j.cnki.zhjbkz.2023.02.009.
    [5]
    中国国家流感中心. 全国流感监测方案(2010年版)[EB/OL]. (2016-05-20)[2024-04-24]. https://ivdc.chinacdc.cn/cnic/zyzx/jcfa/201605/t20160520_129694.htm .
    [6]
    中国国家流感中心. 全国流感监测方案(2017年版)[EB/OL]. (2017-07-27)[2024-04-24]. https://ivdc.chinacdc.cn/cnic/zyzx/jcfa/201709/t20170927_153830.htm .
    [7]
    国家卫生健康委员会. 流行性感冒诊疗方案(2018版)[EB/OL]. (2018-01-09)[2024-04-28]. http://www.nhc.gov.cn/yzygj/s3594q/201801/5737c258bb0c4a0493cb4f65fcf11be1.shtml .
    [8]
    国家卫生健康委员会. 流行性感冒诊疗方案(2019版)[EB/OL]. (2019-11-13)[2024-04-28]. http://www.nhc.gov.cn/yzygj/s7653p/201911/a577415af4e5449cb30ecc6511e369c7.shtml .
    [9]
    国家卫生健康委员会. 流行性感冒诊疗方案(2020版)[EB/OL]. (2019-11-13)[2024-04-24]. http://www.nhc.gov.cn/yzygj/s7652m/202011/4669b15fd1f247b9bf977de7bad261eb.shtml .
    [10]
    史进梅, 赵俊琴, 李建国. 空间自相关方法及其在公共卫生领域的应用[J]. 中华劳动卫生职业病杂志, 2020, 38(5): 395-400. DOl: 10.3760/ema.j.cn121094-20190507-00183. doi: 10.3760/cma.j.cn121094-20190507-00183

    Shi JM, Zhao JO, Li JG. Spatial autocorrelation method and its application in public health field[J]. Chin J Ind Hyg Occup Dis, 2020, 38(5): 395-400. DOI: 10.3760/cma.j.cn121094-20190507-00183.
    [11]
    Kulldorff M. Prospective time periodic geographical disease surveillance using a scan statistic[J]. J R Stat Soc Ser A Stat Soc, 2001, 164(1): 61-72. DOI: 10.1111/1467-985X.00186.
    [12]
    Stelling J, Yih WK, Galas M, et al. Automated use of WHONET and SaTScan to detect outbreaks of Shigella spp. using antimicrobial resistance phenotypes[J]. Epidemiol Infect, 2010, 138(6): 873-883. DOI: 10.1017/S0950268809990884.
    [13]
    邓源, 任翔, 郭玉清, 等. 2008―2020年我国北方15个城市流感与气象因素的关联性研究[J]. 中华流行病学杂志, 2023, 44(5): 765-771. DOI: 10.3760/cma.j.cn112338-20221007-00862.

    Deng Y, Ren X, Guo YQ, et al. Study on the correlation between influenza and meteorological factors in 15 cities in Northern China from 2008 to 2020[J]. Chin J Epidemiol, 2023, 44(5): 765-771. DOI: 10.3760/cma.j.cn112338-20221007-00862.
    [14]
    Zhang ZL, Li SW, Zhu XL, et al. Increased genetic variation of a(H3N2) virus from influenza surveillance at the end of the 2016/2017 season for Shanghai Port, China[J]. Sci Rep, 2022, 12(1): 17089. DOI: 10.1038/s41598-022-19228-y.
    [15]
    郑建东, 彭质斌, 秦颖, 冯录召, 李中杰. 中国季节性流感防控现状与挑战[J]. 中华流行病学杂志, 2018, 39(8): 1041-1044. DOI: 10.3760/cma.j.issn.0254-6450.2018.08.006.

    Zheng DJ, Peng ZB, Qin Y, et al. Current situation and challenges on the implementation of prevention and control programs regarding the seasonal influenza, in China[J]. Chin J Epidemiol, 2018, 39(8): 1041-1044. DOI: 10.3760/cma.j.issn.0254-6450.2018.08.006.
    [16]
    Liu T, Wang P, Meng FY, et al. Incidence, circulation, and spatiotemporal analysis of seasonal influenza in Shandong, China, 2008 - 2019: a retrospective study[J]. Influenza Other Respir Viruses, 2022, 16(3): 594-603. DOI: 10.1111/irv.12959.
    [17]
    庄雅丽, 卢捷, 吴树凯, 等. 广东省2015―2022年流感暴发疫情特征分析[J]. 中华流行病学杂志, 2023, 44(6): 942-948. DOI: 10.3760/cma.j.cn112338-20221010-00867.

    Zhuang YL, Lu J, Wu SK, et al. Epidemiologic characteristics and influencing factors of influenza outbreaks in Guangdong Province, 2015-2022[J]. Chin J Epidemiol, 2023, 44(6): 942-948. DOI: 10.3760/cma.j.cn112338-20221010-00867.
    [18]
    马贵凤, 祝洁, 曹慧军, 等. 2013―2018年我国流感流行特征分析[J]. 中国病原生物学杂志, 2019, 14(1): 73-77. DOI: 10.13350/j.cjpb.190115.

    Ma GF, Zhu J, Cao HJ, et al. Analysis of influenza epidemic characteristics in China from 2013 to 2018[J]. J Pathog Biol, 2019, 14(1): 73-77. DOI: 10.13350/j.cjpb.190115.
    [19]
    Geng MJ, Zhang HY, Yu LJ, et al. Changes in notifiable infectious disease incidence in China during the COVID-19 pandemic[J]. Nat Commun, 2021, 12(1): 6923. DOI: 10.1038/s41467-021-27292-7.
    [20]
    曾晓旭, 谢怡然, 陈涛, 等. 中国2019―2020监测年度流感暴发疫情特征分析[J]. 国际病毒学杂志, 2021, 28(5): 359-363. DOI: 10.3760/cma.j.issn.1673-4092.2021.05.002.

    Zeng XX, Xie YR, Chen T, et al. Analysis on epidemiological characteristics of influenz a outbreaks in Chinese mainland from 2019 to 2020[J]. International Journal of Virology, 2021, 28(5): 359-363. DOI: 10.3760/cma.j.issn.1673-4092.2021.05.002.
    [21]
    康敏, 谭小华, 杨宇威, 等. 广东省2017―2018年冬季流感流行特征研究[J]. 中华流行病学杂志, 2018, 39(8): 1071-1076. DOI: 10.3760/cma.j.issn.0254-6450.2018.08.011.

    Kang M, Tan XH, Yang YW, et al. Epidemiological characteristics of influenza in Guangdong province, during winter of 2017-2018[J]. Chin J Epidemiol, 2018, 39(8): 1071-1076. DOI: 10.3760/cma.j.issn.0254-6450.2018.08.011.
    [22]
    韩雅俊, 杨静, 曾晓旭, 等. 我国2014―2019年季节性A(H3N2)流感的时空分布特征分析[J]. 中华流行病学杂志, 2023, 44(6): 937-941. DOI: 10.3760/cma.j.cn112338-20221212-01059.

    Han YJ, Yang J, Zeng XX, et al. Spatial and temporal distribution characteristics of seasonal A(H3N2) influenza in China, 2014-2019[J]. Chin J Epidemiol, 2023, 44(6): 937-941. DOI: 10.3760/cma.j.cn112338-20221212-01059.
    [23]
    栾桂杰, 周脉耕. 中国2004-2016年冬季低温与流感发病的相关性研究[J]. 中华流行病学杂志, 2020, 41(3): 368-372. DOI: 10.3760/cma.j.issn.0254-6450.2020.03.017.

    Ruan GJ, Zhou MG. Correlation between low air temperature and influenza incidence in winter in China, 2004-2016[J]. Chin J Epidemiol, 2020, 41(3): 368-372. DOI: 10.3760/cma.j.issn.0254-6450.2020.03.017.
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