Research article Special Issues

Epidemics and underlying factors of multiple-peak pattern on hand, foot and mouth disease inWenzhou, China

  • Received: 27 December 2018 Accepted: 21 February 2019 Published: 12 March 2019
  • Background: Several outbreaks of severe hand-foot-mouth disease (HFMD) in East Asia and Southwest Asia in recent years have had a serious impact on the countries. However, the factors that contribute to annual multiple-peak pattern of HFMD outbreaks, and how and when do these factors play the decisive role in the HFMD transmission is still unclear. Methods: Based on the surveillance data of HFMD between 1 January 2010 to 31 December 2015 in Wenzhou, China, the daily modelfree basic reproduction number and its annual average were first estimated by incorporating incubation and infection information, then the annual model-based basic reproduction number was computed by the proposed kinetic model, and finally the potential impact factors of multiple-peak pattern are assessed through the global and time-varying sensitivity analyses. Results: All annual model-based and model-free basic reproduction numbers were significantly higher than one. The school opening both in the spring and fall semester, meteorological e ect in the spring semester, and the interactions among them were strongly correlated with the annual model-based basic reproduction number, which were the main underlying factors on the annual multiple-peak pattern of HFMD outbreaks. Conclusions: School opening was primarily responsible for peaks of HFMD outbreaks and meteorological factors in the spring semester should also be highly concerned. The optimum timing for social distance implementation is at the beginning of every school semester and health education focusing on personal hygiene and good sanitation should be highlighted in the spring semester.

    Citation: Chenxi Dai, ZhiWang, Weiming Wang, Yongqin Li, Kaifa Wang. Epidemics and underlying factors of multiple-peak pattern on hand, foot and mouth disease inWenzhou, China[J]. Mathematical Biosciences and Engineering, 2019, 16(4): 2168-2188. doi: 10.3934/mbe.2019106

    Related Papers:

  • Background: Several outbreaks of severe hand-foot-mouth disease (HFMD) in East Asia and Southwest Asia in recent years have had a serious impact on the countries. However, the factors that contribute to annual multiple-peak pattern of HFMD outbreaks, and how and when do these factors play the decisive role in the HFMD transmission is still unclear. Methods: Based on the surveillance data of HFMD between 1 January 2010 to 31 December 2015 in Wenzhou, China, the daily modelfree basic reproduction number and its annual average were first estimated by incorporating incubation and infection information, then the annual model-based basic reproduction number was computed by the proposed kinetic model, and finally the potential impact factors of multiple-peak pattern are assessed through the global and time-varying sensitivity analyses. Results: All annual model-based and model-free basic reproduction numbers were significantly higher than one. The school opening both in the spring and fall semester, meteorological e ect in the spring semester, and the interactions among them were strongly correlated with the annual model-based basic reproduction number, which were the main underlying factors on the annual multiple-peak pattern of HFMD outbreaks. Conclusions: School opening was primarily responsible for peaks of HFMD outbreaks and meteorological factors in the spring semester should also be highly concerned. The optimum timing for social distance implementation is at the beginning of every school semester and health education focusing on personal hygiene and good sanitation should be highlighted in the spring semester.


    加载中


    [1] W. Xing, Q. Liao and C. Viboud, et al., Hand, foot, and mouth disease in China, 2008-12: An epidemiological study, Lancet Infect. Dis., 14 (2014), 308–318.
    [2] J. Li, Y. Fu and A. Xu, et al., A spatial-temporal ARMA model of the incidence of hand, foot, and mouth disease in Wenzhou, China, Abstr. Appl. Anal., 2014 (2014), 1–9.
    [3] 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), 1–11.
    [4] Z.C. Zhuang, Z.Q. Kou and Y.J. Bai, et al., Epidemiological research on hand, foot, and mouth disease in mainland China, Viruses, 7 (2015), 6400–6411.
    [5] K. Kaminska, G. Martinetti and R. Lucchini, et al., Coxsackievirus A6 and hand, foot, and mouth disease: three case reports of familial child-to-immunocompetent adult transmission and a literature review, Case Rep. Dermatol., 5 (2013), 203–209.
    [6] J.P. Lott, K. Liu and M.L. Landry, et al., Atypical hand-foot-and-mouth disease associated with coxsackievirus A6 infection, J. Am. Acad. Dermatol., 69 (2013), 736–741.
    [7] M.H. Ooi, S.C. Wong and P. Lewthwaite, et al., Clinical features, diagnosis, and management of enterovirus 71, Lancet Neurol., 9 (2010), 1097–1105.
    [8] Q.Y. 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. Vacc., 15 (2016), 599–606.
    [9] D. Onozuka and M. Hashizume, The influence of temperature and humidity on the incidence of hand, foot, and mouth disease in Japan, Sci. Total Environ., 410-411 (2011), 119–125.
    [10] Z. Du, W. Zhang and D. Zhang, et al., Estimating the basic reproduction rate of HFMD using the time series SIR model in Guangdong, China, PLoS ONE, 12 (2017), 1–11.
    [11] F. Gou, X. Liu and J. He, et al., Different responses of weather factors on hand, foot and mouth disease in three different climate areas of Gansu, China, BMC Infect. Dis., 18 (2018), 1–10.
    [12] Y.L. Hii, J. Rocklöv and N. Ng, Short term effects of weather on hand, foot and mouth disease, PLoS ONE, 6 (2011), 1–6.
    [13] J.Wang, T. Hu and D. Sun, et al., Epidemiological characteristics of hand, foot, and mouth disease in Shandong, China, 2009-2016, Sci. Rep., 7 (2017), 1–9.
    [14] P. Wang, H. Zhao and F. You, et al., Seasonal modeling of hand, foot, and mouth disease as a function of meteorological variations in Chongqing, China, Int. J. Biometeorol., 61 (2017), 1411–1419.
    [15] W. Dong, X. Li and P. Yang, et al., The effects of weather factors on hand, foot and mouth disease in Beijing, Sci. Rep., 6 (2016), 1–9.
    [16] H. Feng, G. Duan and R. Zhang, et al., Time series analysis of hand-foot-mouth disease hospitalization in Zhengzhou: establishment of forecasting models using climate variables as predictors, PLoS ONE, 9 (2014), 1–10.
    [17] W. Liu, H. Ji and J. Shan, et al., Spatiotemporal dynamics of hand-foot-mouth disease and its relationship with meteorological factors in Jiangsu province, China, PLoS ONE, 10 (2015), 1–13.
    [18] Y. Liu, X. Wang and C. Pang, et al., Spatio-temporal analysis of the relationship between climate and hand, foot, and mouth disease in Shandong province, China, 2008-2012, BMC Infect. Dis., 15 (2015), 1–8.
    [19] J. Wei, A. Hansen and Q. Liu, et al., The effect of meteorological variables on the transmission of hand, foot and mouth disease in four major cities of Shanxi province, China: a time series data analysis (2009-2013), PLoS Negl. Trop. Dis., 9 (2015), 1–19.
    [20] L.Y. Chang, C.C. King and K.H. Hsu, et al., Risk factors of enterovirus 71 infection and associated hand, foot, and mouth disease/herpangina in children during an epidemic in Taiwan, Pediatrics, 109 (2002), 1–6.
    [21] L. Sun, H. Lin and J. Lin, et al., Evaluating the transmission routes of hand, foot, and mouth disease in Guangdong, China, Am. J. Infect. Control., 44 (2016), e13–e14.
    [22] Y.H. Xie, V. Chongsuvivatwong and Y. Tan, et al., Important roles of public playgrounds in the transmission of hand, foot, and mouth disease, Epidemiol. Infect., 143 (2015), 1432–1441.
    [23] H.W. Hethcote, The mathematics of infectious diseases, SIAM Rev., 42 (2000), 599–653.
    [24] Y. Cai, X. Lian and Z. Peng, et al., Spatiotemporal transmission dynamics for influenza disease in a heterogenous environment, Nonlinear Anal. Real., 46 (2019), 178–194. 25. Y. Cai, K. Wang and W.M. Wang, Global transmission dynamics of a Zika virus model, Appl. Math. Lett., 92 (2019), 190–195.
    [25] 26. A. Cori, N.M. Ferguson and C. Fraser, et al., A new framework and software to estimate timevarying reproduction numbers during epidemics, Am. J. Epidemiol., 178 (2013), 1505–1512.
    [26] 27. E. Ma, C. Fung and S.H.E. Yip, et al., Estimation of the basic reproduction number of enterovirus 71 and coxsackievirus A16 in hand, foot, and mouth disease outbreaks, Pediatr. Infect. Dis. J., 30 (2011), 675–679.
    [27] 28. C.C. Lai, D.S. Jiang and H.M. Wu, et al., A dynamic model for the outbreaks of hand, foot, and mouth disease in Taiwan, Epidemiol. Infect., 144 (2016), 1500–1511.
    [28] 29. Y. Li, J. Zhang and X. Zhang, Modeling and preventive measures of hand, foot and mouth disease (HFMD) in China, Int. J. Environ. Res. Public Health, 11 (2014), 3108–3117.
    [29] 30. 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.
    [30] 31. 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.
    [31] 32. F.C.S. Tiing and J. Labadin, A simple deterministic model for the spread of hand, foot and mouth disease (HFMD) in Sarawak, Second Asia International Conference on Modelling & Simulation (AMS), (2008), 947–952.
    [32] 33. J.Y. Yang, Y. Chen and F.Q. Zhang, Stability analysis and optimal control of a hand-foot-mouth disease (HFMD) model, J. Appl. Math. Comput., 41 (2012), 99–117.
    [33] 34. Public Health Statistical Data of Wenzhou City, Report of Wenzhou Center for Disease Control and Prevention, 2018. Available from: http://www.wzcdc.org.cn/.
    [34] 35. Guidelines on Drawing up the School Calendar, Report of Wenzhou Education Bureau, 2018. Available from: http://www.wzer.net/.
    [35] 36. Meteorological information of Wenzhou city, Report of China Meteorological Data Sharing Service System, 2018. Available from: http://data.cma.cn/.
    [36] 37. E. Vynnycky, A. Trindall and P. Mangtani, Estimates of the reproduction numbers of Spanish influenza using morbidity data, , Int. J. Epidemiol., (2007), 881–889.
    [37] 38. H. Haario, M. Laine and A. Mira, et al., DRAM: efficient adaptive MCMC, Stat. Comput., 16 (2006), 339–354.
    [38] 39. N. Bacaër and S. Guernaoui, The epidemic threshold of vector-borne disease with seasonality, J. Math. Biol., 53 (2006), 421–436.
    [39] 40. W. Wang and X.Q. Zhao, Threshold dynamics for compartmental epidemic models in periodic environments, J. Dyn. Differ. Equat., 20 (2008), 699–717.
    [40] 41. Y. Xiao, S. Tang and Y. Zhou, et al., Predicting the HIV/AIDS epidemic and measuring the effect of mobility in mainland China, J. Theor. Biol., 317 (2013), 271–285.
    [41] 42. S. Marino, I.B. Hogue and C.J. Ray, et al., A methodology for performing global uncertainty and sensitivity analysis in systems biology, J. Theor. Biol., 254 (2008), 178–196.
    [42] 43. J. Wu, R. Dhingra and M. Gambhir, et al., Sensitivity analysis of infectious disease models: methods, advances and their application, J. R. Soc. Interface, 10 (2013), 1–14.
    [43] 44. B. Yang, E.H.Y. Lau and P. Wu, et al., Transmission of hand, foot and mouth disease and its potential driving factors in Hong Kong, Sci. Rep., 6 (2016), 1–8.
    [44] 45. J. Wu, J. Cheng and Z. Xu, et al., Nonlinear and interactive effects of temperature and humidity on childhood hand, foot and mouth disease in Hefei, China, Pediatr. Infect. Dis. J., 35 (2016), 1086–1091.
    [45] 46. L.W. Ang, B.K. Koh and K.P. Chan, et al., Epidemiology and control of hand, foot and mouth disease in Singapore, 2001-2007, An. Aca. Med., 38 (2009), 106–112.
    [46] 47. T. Solomon, P. Lewthwaite and D. Perera, et al., Virology, epidemiology, pathogenesis, and control of enterovirus 71, Lancet Infect. Dis., 10 (2010), 778–790.
    [47] 48. M. B´elanger, K. Gray-Donald and J. O'loughlin, et al., Influence of weather conditions and season on physical activity in adolescents, Ann. Epidemiol., 19 (2009), 180–186.
    [48] 49. M.M. Suminski, W.C. Poston and P. Market, et al., Meteorological conditions are associated with physical activities performed in open-air settings, Int. J. Biometeorol., 52 (2008), 189–197.
    [49] 50. F.X. Abad, R.M. Pinto and A. Bosch, Survival of enteric viruses on environmental fomites, Appl. Environ. Microbiol., 60 (1994), 3704–3710.
    [50] 51. H.L. Chang, C.P. Chio and H.J. Su, et al., The association between enterovirus 71 infections and meteorological parameters in Taiwan, PLoS ONE, 7 (2012), 1–5.
    [51] 52. I. Hashimoto and A. Hashimoto, Comparative studies on the neurovirulence of temperaturesensitive and temperature-resistant viruses of enterovirus 71 in monkeys, Acta Neuropathol., 60 (1983), 266–270.
    [52] 53. S. Altizer, A. Dobson and P. Hosseini, et al., Seasonality and the dynamics of infectious diseases, Ecol. Lett., 9 (2006), 467–484.
    [53] 54. S.F. Dowell, Seasonal variation in host susceptibility and cycles of certain infectious diseases, Emerg. Infect. Dis., 7 (2001), 369–374.
    [54] 55. Z. Yang, Q. Zhang and B.J. Cowling, et al., Estimating the incubation period of hand, foot and mouth disease for children in different age groups, Sci. Rep., 7 (2017), 1–5.
    [55] 56. W.M. Koh, H. Badaruddin and H. La, et al., Severity and burden of hand, foot and mouth disease in Asia: a modelling study, BMJ Glob. Health, 3 (2018), 1–10.
    [56] 57. J. Liu, G.L. Zhang and G.Q. Huang, et al., Therapeutic effect of Jinzhen oral liquid for hand foot and mouth disease: a randomized, multi-center, double-blind, placebo-controlled trial, PLoS ONE, 9 (2014), 1–9.
    [57] 58. Wenzhou Health Statistical Year book, Report of Wenzhou Statistical Bureau, 2018. Available from: http://wztjj.wenzhou.gov.cn/.
    [58] 59. R. Huang, G. Bian and T. He, et al., Effects of meteorological parameters and PM10 on the incidence of hand, foot, and mouth disease in children in China, Int. J. Environ. Res. Public Health, 13 (2016), 1–13.
    [59] 60. H. Qi, Y. Chen and D. Xu, et al., Impact of meteorological factors on the incidence of childhood hand, foot, and mouth disease (HFMD) analyzed by DLNMs-based time series approach, Infect. Dis. Poverty, 7 (2018), 1–10.
    [60] 61. MCMC toolbox for Matlab, Report of Marko Laine, 2018. Available from: http://helios. fmi.fi/~lainema/mcmc/.
  • Reader Comments
  • © 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(5220) PDF downloads(943) Cited by(10)

Article outline

Figures and Tables

Figures(9)  /  Tables(5)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog