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中国4种儿童易感传染病传播特性的分析

翟夏菲 韩世峰 赵继军

翟夏菲, 韩世峰, 赵继军. 中国4种儿童易感传染病传播特性的分析[J]. 中华疾病控制杂志, 2023, 27(3): 254-261. doi: 10.16462/j.cnki.zhjbkz.2023.03.002
引用本文: 翟夏菲, 韩世峰, 赵继军. 中国4种儿童易感传染病传播特性的分析[J]. 中华疾病控制杂志, 2023, 27(3): 254-261. doi: 10.16462/j.cnki.zhjbkz.2023.03.002
ZHAI Xia-fei, HAN Shi-feng, ZHAO Ji-jun. Analysis of the transmission characteristics of four childhood infectious diseases in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(3): 254-261. doi: 10.16462/j.cnki.zhjbkz.2023.03.002
Citation: ZHAI Xia-fei, HAN Shi-feng, ZHAO Ji-jun. Analysis of the transmission characteristics of four childhood infectious diseases in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(3): 254-261. doi: 10.16462/j.cnki.zhjbkz.2023.03.002

中国4种儿童易感传染病传播特性的分析

doi: 10.16462/j.cnki.zhjbkz.2023.03.002
基金项目: 

山东省自然科学基金 ZR2018MH037

详细信息
    通讯作者:

    赵继军,E-mail: jjzhao@qdu.edu.cn

  • 中图分类号: R511;R515;R181

Analysis of the transmission characteristics of four childhood infectious diseases in China

Funds: 

Shandong Provincial Natural Science Foundation ZR2018MH037

More Information
  • 摘要:   目的  了解4种传染病发病数的周期性、传染率及其季节性的变化模式,为4种传染病的防控提供理论支持。  方法  选取百日咳、猩红热、风疹、腮腺炎这4种有代表性的儿童易感传染病作为研究对象,分别建立时间序列易感者-感染者-恢复者(time series susceptible infected recovered, TSIR)模型,使用马尔科夫蒙特卡洛方法估计模型中的参数,分析这4种传染病传染率的季节性模式;根据不同传染病传染率的季节性模式,采取针对性控制措施,分析对未来发病数的影响效果。  结果  4种传染病的传染率呈季节性变化,最低传染率均发生在7―8月,猩红热、风疹、腮腺炎的最高传染率发生在2―3月。传染率季节性受学生放假、春运影响。有无免疫实施不影响传染率的季节性模式。传染率季节性与病原体的异同存在关联性。  结论  4种儿童易感传染病的传染率均具有季节性变化的特点,相应的季节性防控措施对减少发病数更为有效。
  • 图  1  4种传染病报告发病数的周期性特征

    Figure  1.  Periodicity characteristics of the number of reported cases of four infectious diseases

    图  2  4种传染病每月传染率的变化模式

    注:图A~D为4种疾病每月传染率的估计值。图中上下横条为(95% CI)值,参考教育厅发布的寒暑假通知大致确定每年寒假及春运(灰色阴影)和暑假(黄色阴影)的时间范围。

    Figure  2.  Patterns of monthly transmission rates of four infectious diseases

    图  3  降低传染率后模型仿真发病数的动态变化

    Figure  3.  Dynamics of model simulation incidence after reduction of transmission rate

    表  1  TSIR模型中的参数估计结果

    Table  1.   Parameter estimation results in the TSIR model

    估计参数 百日咳 猩红热 风疹 腮腺炎
    β0 2.64×10-8 4.08×10-8 1.35×10-8 1.91×10-8
    β1max 35.6% 68.6% 172.0% 44.1%
    β2 49.2% 63.8% 78.7% 50.4%
    Rn 1.24 1.05 1.20 1.70
    S(95% CI)值 0.041(0.030~0.049) 0.056(0.054~0.058) 0.086(0.076~0.096) 0.095(0.089~0.100)
    ρ(95% CI)值 0.007 0(0.006 0~0.008 0) 0.002 5(0.001 9~0.002 8) 0.070 0(0.057 0~0.088 0) 0.140 0(0.135 0~0.147 0)
      注:β0β1maxβ2RnSρ分别为传染率均值、传染率偏离均值的最大幅度、传染率偏离中间值幅度、平均有效再生数、平均易感者比例、报告率。
    下载: 导出CSV
  • [1] 李兰娟. 我国感染病的现状及防治策略[J]. 中华临床感染病杂志, 2008, 1(1): 1-6. DOI: 10.3760/cma.j.issn.1674-2397.2008.01.003.

    Li LJ. Status and control strategy for infectious diseases in China[J]. Chin J Clin Infect Dis, 2008, 1(1): 1-6. DOI: 10.3760/cma.j.issn.1674-2397.2008.01.003.
    [2] Winter K, Glaser C, Watt J, et al. Pertussis epidemic-California, 2014[J]. MMWR Morb Mortal Wkly Rep, 2014, 63(48): 1129-1132.
    [3] Rohani P, Zhong X, King AA. Contact network structure explains the changing epidemiology of pertussis[J]. Science, 2010, 330(6006): 982-985. DOI: 10.1126/science.1194134.
    [4] Liu Y, Chan TC, Yap LW, et al. Resurgence of scarlet fever in China: a 13-year population-based surveillance study[J]. Lancet Infect Dis, 2018, 18(8): 903-912. DOI: 10.1016/S1473-3099(18)30231-7.
    [5] Lamagni T, Guy R, Chand M, et al. Resurgence of scarlet fever in England, 2014-16: a population-based surveillance study[J]. Lancet Infect Dis, 2018, 18(2): 180-187. DOI: 10.1016/S1473-3099(17)30693-X.
    [6] 董彦会, 陈曼曼, 王丽萍, 等. 中国6~22岁学生群体甲乙丙类传染病流行趋势[J]. 北京大学学报(医学版), 2021, 53(3): 498-505. DOI: 10.19723/j.issn.1671-167X.2021.03.010.

    Dong YH, Chen MM, Wang LP, et al. Epidemiological characteristics of infectious diseases of group A, B and C among Chinese students' population[J]. J Peking Univ Health Sci, 2021, 53(3): 498-505. DOI: 10.19723/j.issn.1671-167X.2021.03.010.
    [7] Keeling MJ, Rohani P. Modeling infectious diseases in humans and animals[M]. Poinceton: Princeton University Press, 2008: 53-55.
    [8] 中华医学会儿科学分会感染学组, 《中华儿科杂志》编辑委员会. 中国儿童百日咳诊断及治疗建议[J]. 中华儿科杂志, 2017, 55(8): 568-572. DOI: 10.3760/cma.j.issn.0578-1310.2017.08.004.

    Infectious Diseases Group Pediatrics Society of Chinese Medical Association, Editorial Board of Chinese Journal of Pediatrics. Recommendation for diagnosis and treatment of Chinese children with pertussis[J]. Chin J Pediatr, 2017, 55(8): 568-572. DOI: 10.3760/cma.j.issn.0578-1310.2017.08.004.
    [9] 马超, 郝利新, 苏琪茹, 等. 世界卫生组织194个成员国麻疹、流行性腮腺炎、风疹减毒活疫苗常规免疫程序、报告接种率与发病水平现状分析[J]. 中国疫苗和免疫, 2015, 21(3): 241-247, 254. DOI: 10.19914/j.cjvi.2015.03.001.

    Ma C, Hao LX, Su QR, et al. Vaccination schedules, reported vaccination coverage rates, and incidences of measles, mumps and rubella of the 194 member states of the World Health Organization. [J]. Chinese Journal of Vaccines and Immunization, 2015, 21(3): 241-247, 254. DOI: 10.19914/j.cjvi.2015.03.001.
    [10] 苏琪茹, 姚开虎. 疫苗时代疫苗可预防疾病流行病学和临床表现的变化[J]. 中国当代儿科杂志, 2019, 21(3): 195-198. DOI: 10.7499/j.issn.1008-8830.2019.03.001.

    Su QR, Yao KH. Epidemiological and clinical features of vaccine-preventable diseases in vaccine era[J]. Chin J Contemp Pediatr, 2019, 21(3): 195-198. DOI: 10.7499/j.issn.1008-8830.2019.03.001.
    [11] Zhao J, Hu X. The complex transmission seasonality of hand, foot, and mouth disease and its driving factors[J]. BMC Infect Dis, 2019, 19(1): 521. DOI: 10.1186/s12879-019-4153-6.
    [12] Fine PE, Clarkson JA. Measles in England and Wales--Ⅰ: an analysis of factors underlying seasonal patterns[J]. Int J Epidemiol, 1982, 11(1): 5-14. DOI: 10.1093/ije/11.1.5.
    [13] 方海旭, 陈佶, 赵继军. 青岛市麻疹免疫前后传染率分析[J]. 复杂系统与复杂性科学, 2018, 15(1): 80-85, 93. DOI: 10.13306/j.1672-3813.2018.01.012.

    Fang HX, Chen J, Zhao JJ. Analysis of transmission rate of measles in Qingdao[J]. Complex Systems and Complexity Science, 2018, 15(1): 80-85, 93. DOI: 10.13306/j.1672-3813.2018.01.012.
    [14] Metcalf CJ, Bjørnstad ON, Grenfell BT, et al. Seasonality and comparative dynamics of six child hood infections in pre-vaccination Copenhagen[J]. Proc Biol Sci, 2009, 276(1676): 4111-4118. DOI: 10.1098/rspb.2009.1058.
    [15] Mahmud AS, Metcalf CJ, Grenfell BT. Comparative dynamics, seasonality in transmission, and predictability of childhood infections in Mexico[J]. Epidemiol Infect, 2017, 145(3): 607-625. DOI: 10.1017/S0950268816002673.
    [16] Yorke JA, London WP. Recurrent outbreaks of measles, chickenpox and mumps. Ⅱ. Systematic differences in contact rates and stochastic effects[J]. Am J Epidemiol, 1973, 98(6): 469-482. DOI: 10.1093/oxfordjournals.aje.a121576.
    [17] Becker AD, Grenfell BT. Tsir: an R package for time-series Susceptible-Infected-Recovered models of epidemics[J]. PLoS One, 2017, 12(9): e0185528. DOI: 10.1371/journal.pone.0185528.
    [18] Jackson C, Mangtani P, Fine P, et al. The effects of school holidays on transmission of varicella zoster virus, England and Wales, 1967-2008[J]. PLoS One, 2014, 9(6): e99762. DOI: 10.1371/journalpone.0099762.
    [19] Bjørnstad ON, Finkenstädt BF, Grenfell BT. Dynamics of measles epidemics: estimating scaling of transmission rates using a time series SIR model[J]. Ecol Monogr, 2002, 72(2): 169-184. DOI: 10.1890/0012-9615(2002)072[0169:DOMEES]2.0.CO;2.
    [20] Ferrari MJ, Djibo A, Grais RF, et al. Rural-urban gradient in seasonal forcing of measles transmission in Niger[J]. Proc Biol Sci, 2010, 277(1695): 2775-2782. DOI: 10.1098/rspb.2010.0536.
    [21] Jandarov RA. Inference with implicit likelihoods for infectious disease models[D]. Pennsylvania: Pennsylvania State University, 2012.
    [22] Li S, Ma C, Hao L, et al. Demographic transition and the dynamics of measles in six provinces in China: a modeling study[J]. PLoS Med, 2017, 14(4): e1002255. DOI: 10.1371/journal.pmed.1002255.
    [23] 钟业工. 小儿急性呼吸道病毒感染和细菌感染的鉴别诊断[J]. 实用儿科临床杂志, 1988, (3): 161-163. DOI: 10.3760/cma.j.issn.2095-428X.1988.03.118.

    Zhong YG. Differential diagnosis of acute respiratory tract viral infection and bacterial infection in children[J]. Chinese Journal of Applied Clinical Pediatrics, 1988, (3): 161-163. DOI: 10.3760/cma.j.issn.2095-428X.1988.03.118.
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  • 收稿日期:  2022-07-19
  • 修回日期:  2022-11-26
  • 网络出版日期:  2023-04-04
  • 刊出日期:  2023-03-10

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