Research article Special Issues

A multi-group model for estimating the transmission rate of hand, foot and mouth disease in mainland China

  • Received: 07 January 2019 Accepted: 25 February 2019 Published: 15 March 2019
  • In order to access the influence of different age groups on the spread of hand, foot and mouth disease (HFMD), we established the multi-group model with migration following the epidemiology of HFMD. The basic reproduction number of the HFMD epidemic model was calculated by the next generation operator method. According to Chinaos national surveillance data on HFMD, we fitted the model parameters and estimated the transmission rates among different age groups. Besides, we carried out sensitivity analysis for the basic reproduction number to find some valuable regulatory measures. Our findings showed that the children under three years of age were indeed at high risk and adult group who had more contacts with children had a crucial influence on the spread of HFMD.

    Citation: Yong Li, Meng Huang, Li Peng. A multi-group model for estimating the transmission rate of hand, foot and mouth disease in mainland China[J]. Mathematical Biosciences and Engineering, 2019, 16(4): 2305-2321. doi: 10.3934/mbe.2019115

    Related Papers:

  • In order to access the influence of different age groups on the spread of hand, foot and mouth disease (HFMD), we established the multi-group model with migration following the epidemiology of HFMD. The basic reproduction number of the HFMD epidemic model was calculated by the next generation operator method. According to Chinaos national surveillance data on HFMD, we fitted the model parameters and estimated the transmission rates among different age groups. Besides, we carried out sensitivity analysis for the basic reproduction number to find some valuable regulatory measures. Our findings showed that the children under three years of age were indeed at high risk and adult group who had more contacts with children had a crucial influence on the spread of HFMD.


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    [1] Notifiable infectious diseases (in Chinese), 2018. Available from: http://www.chinacdc.cn/ tjsj_6693/fdcrbbg/.
    [2] E. F. Mathes, V. Oza and I. J. Frieden, et al., "Eczema coxsackium" and unusual cutaneous findings in an enterovirus outbreak, Pediatrics, 132 (2013), e149–e157.
    [3] T. Hamaguchi, H. Fujisawa and K. Sakai, et al., Acute encephalitis caused by intrafamilial transmission of enterovirus 71 in adult, Emerg. Infect. Dis., 14 (2008), 828.
    [4] M. Hosoya, Y. Kawasaki and M. Sato, et al., Genetic diversity of enterovirus 71 associated with hand, foot and mouth disease epidemics in Japan from 1983 to 2003, Emerg. Infect. Dis., 25 (2006), 691–694.
    [5] Y. Podin, E. L. M. Gias and F. Ong, et al., Sentinel surveillance for human enterovirus 71 in Sarawak, Malaysia: lessons from the first 7 years, BMC Pub. Health, 1 (2006), 180.
    [6] Q. Mao, Y. Wang and L. Bian, et al., EV71 vaccine, a new tool to control outbreaks of hand, foot and mouth disease (HFMD), Expert Rev. Vaccine, 15 (2016), 599–606.
    [7] Y. Cai, Z. Ding and B. Yang, et al., Transmission dynamics of Zika virus with spatial structure–A case study in Rio de Janeiro, Brazil, Physica A, 514 (2019), 729–740.
    [8] G.P. Samanta, A delayed hand-foot-mouth disease model with pulse vaccination strategy, Comput. Appl. Math., 34 (2015), 1131–1152.
    [9] Hand, Foot, and Mouth Disease (HFMD)-Prevention & Treatment, 2017. Available from: https: //www.cdc.gov/hand-foot-mouth/about/prevention-treatment.html.
    [10] S. Ljubin-Sternak, V. Slavic-Vrzic and T. Vilibić-čavlek, et al., Outbreak of hand, foot and mouth disease caused by Coxsackie A16 virus in a childcare centre in Croatia, February to March 2011, Eurosurveillance, 16 (2011), 599–606.
    [11] T. Yang, G. Xu and H. Dong, et al., A case–control study of risk factors for severe hand– foot–mouth disease among children in Ningbo, China, 2010–2011, Eur. J. Pediatr., 171 (2012), 1359–1364.
    [12] A. Lajmanovich and J. A. Yorke, A deterministic model for gonorrhea in a nonhomogeneous population, Math. Biosci., 28 (1976), 221–236.
    [13] W. Wang, X. Gao and Y. Cai, et al., Turing patterns in a diffusive epidemic model with saturated infection force, J. Franklin Inst., 15 (2018), 7226–7245.
    [14] Y. Cai, X. Lian and Z. Pang, et al., Spatiotemporal transmission dynamics for influenza disease in a heterogenous environment, Nonlinear Anal., Real World Appl., 46 (2019), 178–194.
    [15] W. Huang, K. L. Cooke and C. Castillo-Chavez, Stability and bifurcation for a multiple-group model for the dynamics of HIV/AIDS transmission, SIAM J. Appl. Math., 52 (1992), 835–854.
    [16] C. Koide and H. Seno, Sex ratio features of two-group SIR model for asymmetrie transmission of heterosexual disease, Math. Comput. Model., 23 (1996), 67–91.
    [17] Z. Feng,W. Huang and C. Castillo-Chavez, Global behavior of a multi-group SIS epidemic model with age structure, J. Differ. Equ., 218 (2005), 292–324.
    [18] G. Li and Z. Jin, Global stability of a SEIR epidemic model with infectious force in latent, infected and immune period, Chaos Solit. Fract., 25 (2005), 1177–1184.
    [19] H. Guo, M. Y. Li and Z. Shuai, Global stability of the endemic equilibrium of multigroup SIR epidemic models, Can. Appl. Math. Q., 14 (2006), 259–284.
    [20] S. Gao, S. Chen and Z. Teng, Pulse vaccination of an SEIR epidemic model with time delay, Nonlinear Anal. Real World Appl., 9 (2008), 599–607.
    [21] X. G. Yin, H. X. Yi and J. Shu, Clinical and epidemiological characteristics of adult hand, foot, and mouth disease in northern Zhejiang, China, May 2008-November 2013, BMC Infect. Dis., 14 (2014), 251.
    [22] X. Wang, M. Xing and C. Zhang, Neutralizing antibody responses to enterovirus and adenovirus in healthy adults in China, Emerg. Micr. Infect., 3 (2014), e30.
    [23] A. Korobeinikov, Global properties of SIR and SEIR epidemic models with multiple parallel infectious stages, B. Math. Biol., 71 (2009), 75–83.
    [24] A.L. Lloyd and V. A. A. Jansen, Spatiotemporal dynamics of epidemics: synchrony in metapopulation models, Math. Biosci., 188 (2004), 1–16.
    [25] B. Yang, Y. Cai and K. Wang, et al., Global threshold dynamics of a stochastic epidemic model incorporating media coverage, Adv. Differ. Equ., 1 (2018), 462.
    [26] Y. Cai, K. Wang and W. Wang, Global transmission dynamics of a Zika virus model, Appl. Math. Lett., 92 (2019), 190–195.
    [27] P. Van den Driessche and J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci., 180 (2002), 29–48.
    [28] Y. Li, L. Wang and L. Pang, et al., The data fitting and optimal control of a hand, foot and mouth disease (HFMD) model with stage structure, Appl. Math. Comput., 276 (2016), 61–74.
    [29] C. G. Moles, J. R. Banga and K. Keller, Solving nonconvex climate control problems: pitfalls and algorithm performances, Appl. Soft Comput., 5 (2004), 35–44.
    [30] H. Miao, J. A. Hollenbaugh and M. S. Zand, et al., Quantifying the early immune response and adaptive immune response kinetics in mice infected with influenza A virus, J. Virol., 84 (2010), 6687–6698.
    [31] H. Wu, A. Kumar and H. Miao, et al., Modeling of influenza-specific CD8+ T cells during the primary response indicates that the spleen is a major source of effectors, J. Immunol., 187 (2011), 4474–4482.
    [32] H. Liang, H. Miao and H. Wu, Estimation of constant and time-varying dynamic parameters of HIV infection in a nonlinear differential equation model, Ann. Appl. Stat., 4 (2010), 460.
    [33] H. Miao, X. Jin and A. S. Perelson, et al., Evaluation of multitype mathematical models for CFSE-labeling experiment data, B. Math. Biol., 74 (2012), 300–326.
    [34] Y. Ma, M. Liu and Q. Hou, et al., Modelling seasonal HFMD with the recessive infection in Shandong, China, Math. Biosci. Eng., 10 (2013), 1159–1171.
    [35] J. Yang, Y. Chen and F. Zhang, Stability analysis and optimal control of a hand-foot-mouth disease (HFMD) model, J. Appl. Math. Comput., 41 (2013), 99–117.
    [36] Y. Li, J. Zhang and X. Zhang, Modeling and preventive measures of hand, foot and mouth disease (HFMD) in China, Inter. J. Env. Res. Pub. Heal., 11 (2014), 3108–3117.
    [37] J. Wang, Y. Xiao and Z. Peng, Modelling seasonal HFMD infections with the effects of contaminated environments in mainland China, Appl. Math. Comput., 274 (2016), 615–627.
    [38] J.Wang, Y. Xiao and R. A. Robert, Modelling the effects of contaminated environments on HFMD infections in mainland China, Biosystems, 140 (2016), 1–7.
    [39] H. R. Thieme, Mathematics in population biology, Princeton University Press, 2003.
    [40] M. Samsuzzoha, M. Singh and D. Lucy, Uncertainty and sensitivity analysis of the basic reproduction number of a vaccinated epidemic model of influenza, Appl. Math. Model., 37 (2013), 903–915.
    [41] Y. Zhu, B. Xu and X. Lian, et al., A hand-foot-and-mouth disease model with periodic transmission rate in Wenzhou, China, Abstr. Appl. Anal., 2014 (2014), 16–20.
    [42] National Bureau of Statistics of China (in Chinese)-National data, 2018. Available from: http: //data.stats.gov.cn/easyquery.htm?cn=C01.
    [43] Ministry of Health of the Peoples Republic of China (in Chinese)-Data directory, 2017. Available from: http://www.phsciencedata.cn/Share/ky_sjml.jsp?id= b9c93769-3e0f-413a-93c1-027d2009d8bc&show=0.
    [44] DEDiscover-Differential Equation Modeling Solution, 2017. Available from: http://www. dediscover.org/.
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