Abstract
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.
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References
Institute of Computing Technology, Chinese Academy of Science: Statistics and Probability Theory (概率统计计算). Science Press, Beijing (1979)
Grenander, U., Rosenblatt, M.: Statistical analysis of stationary time series. John Wiley and Sons, New York (1957)
Sun, Z.Q., Xu, Y.Y.: Medical Statistics (医学统计学). People’s Medical Publishing House, Beijing (2006)
Tao, X.R.: Study on the Regularity of Scarlet Fever by Periodogram Method (用周期图法对猩红热的周期性规律的初步探讨). Journal of Preventive Medicine Information 14, 146–148 (1998)
Wang, Y.: Research of Correlation Fractal Dimension of Scarlet Fever Epidemic and Epidemic Cerebrospinal Meningitis (猩红热和流脑流行过程的混沌分维研究). Journal of Northeastern University (Natural Science) 20, 351–353 (1999)
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Shen, Y., Jiang, C., Dun, Z. (2008). Analysis and Prediction of Epidemiological Trend of Scarlet Fever from 1957 to 2004 in the Downtown Area of Beijing. In: Zeng, D., Chen, H., Rolka, H., Lober, B. (eds) Biosurveillance and Biosecurity . BioSecure 2008. Lecture Notes in Computer Science(), vol 5354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89746-0_16
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DOI: https://doi.org/10.1007/978-3-540-89746-0_16
Publisher Name: Springer, Berlin, Heidelberg
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