Seong, JK, et al.
Risk factors for neurologic complications of hand, foot and mouth disease in the Republic of Korea, 2009. Journal of Korean Medical Science
2013; 28: 120–127.
Ji, H, et al.
Seroepidemiology of human enterovirus71 and coxsackievirus A16 in Jiangsu province, China. Virology Journal
2012; 9: 248–256.
Peng, JP, et al.
Sensitive and rapid detection of viruses associated with hand foot and mouth disease using multiplexed MALDI-TOF analysis. Journal of Clinical Virology
2013; 56: 170–174.
Guan, P, Huang, DS, Zhou, BS. Forecasting model for the incidence of hepatitis A based on artificial neural network. World Journal of Gastroenterology
2004; 10: 3579–3582.
Wang, YJ, et al.
Applying linear regression statistical method to predict the epidemic of hemorrhagic fever with renal syndrome. Chinese Journal of Vector Biology and Control
2006; 17: 333–334.
Clement, J, et al.
Relating increasing hantavirus incidences to the changing climate: the mast connection. International Journal of Health Geographics
2009; 8: 1.
Guo, LC, et al.
Appling grey swing model to predict the incidence trend of hemorrhagic fever with renal syndrome in Shenyang. Journal of China Medical University
2008; 37: 839–842.
Wu, ZM, et al.
Prediction for incidence of hemorrhagic fever with renal syndrome with back propagation artificial neural network model. Chinese Journal of Vector Biology and Control
2006; 17: 223–226.
Huang, XX, et al.
Prediction of monthly hand foot and mouth disease incidence in China by using autoregressive integrated moving average model. Disease Surveillance
2013; 28: 396–399.
Akhtar, S, Rozi, S. An autoregressive integrated moving average model for short-term prediction of hepatitis C virus seropositivity among male volunteer blood donors in Karachi, Pakistan. World Journal of Gastroenterology
2009; 15: 1607–1612.
Wentong, Z. The Course of Statistical Analysis with SPSS. Beijing, China: Hope Electronic Press, 2002, pp. 250–289.
Chatfield, C. The Analysis of Time Series: Theory and Practice. London: Chapman and Hall.
Jenkins, GW, Reinsel, GC, Box, GEP. Time Series Analysis, 3rd edn.
South Winsdor, New South Wales, Australia: Holden Day.
Bowerman, BL, O'Connell, R. Forecasting and Time Series: An Applied Approach. Boston: South-Western College Publications.
Chang, ZR, et al.
Epidemiological features of hand foot and mouth disease in China, 2008–2009. China Journal of Epidemiology
2011; 32: 676–680.
Kuhn, L, Davidson, LL, Durkin, MS. Use of Poisson regression and time series analysis for detecting changes over time in rates of child injury following a prevention program. American Journal of Epidemiology
1994; 140: 943–955.
Liang, W, et al.
Prediction of malaria incidence in malaria epidemic area with time series models. Journal of the Fourth Military Medical University
2004; 25: 507–510.
Silawan, T, et al.
Temporal patterns and forecast of dengue infection in northeastern Thailand. The Southeast Asian Journal of Tropical Medicine and Public Health
2008; 39: 90–98.
Wong, J, Chan, A, Chiang, YH. Time series forecasts of the construction labor market in Hong Kong: the Box-Jenkins approach. Construction Management and Economics
2005; 23: 979–991.
Mumbare, SS, et al.
Trends in average living children at the time of terminal contraception: a time series analysis over 27 years using ARIMA (p,d,q) nonseasonal model. Indian Journal of Community Medicine
2014; 39: 223–228.
Earnest, A, et al.
Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore. BMC Health Services Research
2005; 5: 36.
Li, XJ, et al.
A time series model in incidence forecasting of hemorrhagic fever with renal syndrome. Journal of Shandong University (Health Sciences)
2008; 46: 547–549.
Hii, YL, Rockl, J, Ng, N. Short term effects of weather on hand, foot and mouth disease. PLoS ONE
2011; 2: 1–6.
Wang, JF, et al.
Hand, foot and mouth disease: spatiotemporal transmission and climate. International Journal of Health Geographics
2011; 10: 25–34.
Zou, XN, et al.
Etiologic and epidemiologic analysis of hand foot and mouth disease in Guangzhou city: a review of 4,753 cases. Brazilian Journal of Infectious Diseases
2012; 16: 457–465.
Onozuka, D, Hashizume, M. The influence of temperature and humidity on the incidence of hand, foot, and mouth disease in Japan. Science of the Total Environment
2011; 410: 119–125.
Zhu, SB, Xiang, FL. Multiple linear regression analysis of hand, foot and mouth diseases and the meteorological factors. Zhejiang Preventive Medicine
2013; 3: 37–39.
Feng, GS, Yu, SC, Hu, YH. Application of panel data model in the study of the relationship between reported hand-foot-mouth morbidity and temperature. Chinese Preventive Medicine
2013; 12: 910–913.