Analysis and Prediction of Epidemiological Trend of Scarlet Fever from 1957 to 2004 in the Downtown Area of Beijing

  • Yanhui Shen
  • Chu Jiang
  • Zhe Dun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5354)


Model fitting and prediction of scarlet fever in the downtown area of Beijing was conducted through time series analysis to describe the epidemiological trend. A database was built and data were fitted with Excel. ARIMA analysis and prediction were made with SPSS. Data from 1957 to 2001 were used for modeling. Data from 2002 to 2004 were used to validate the precision of the model. The incidence of scarlet fever in the downtown area of Beijing since 1957 declined, although fluctuations were apparent. There were two epidemic periods of scarlet fever, at 6.8571 years and 4.8000 years (P<0.10). The incidence in 2008 was predicted as 4.707/100,000 (95% confidence level: 1.379, 16.071; R2 =0.296). Scarlet fever in Beijing is a periodical epidemic. The data of scarlet fever can be analyzed by ARIMA model.


Scarlet fever incidence model 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Yanhui Shen
    • 1
  • Chu Jiang
    • 1
  • Zhe Dun
    • 1
  1. 1.Haidian Centers for Disease Prevention and Control of BeijingBeijingChina

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