[Dynamic prediction on the number of influenza-like cases in Gansu province based on data from the influenza sentinel surveillance program, from 2006 to 2011].
Zhonghua Liu Xing Bing Xue Za Zhi
; 33(11): 1155-8, 2012 Nov.
Article
en Zh
| MEDLINE
| ID: mdl-23290903
OBJECTIVE: To understand the epidemiological trend on the number of influenza-like cases and to explore the feasibility of early warning systems of influenza in Gansu province. METHODS: Based on data from the influenza sentinel surveillance program, a sequence chart was used to analyze the epidemiological trend on the number of influenza-like illness (ILI) cases. Both control chart and mobile percentile method were used to select the threshold of premium alert for the ILI of sentinel surveillance program. Warning effects were assessed by statistical model. RESULTS: The prevalence of influenza were both low in 2007 and 2008. Alert thresholds for ILI of Sentinel surveillance was built. The thresholds were higher alert in winter, but lower in summer. Both Seasonal Exponential Smoothing Model and Multiplicative Seasonal ARMA Model (1, 1, 1) (0, 1, 0) were used to dynamically predict the weekly percentage of outpatient visits for influenza-like illness (ILI%) of 2011. The concordance rates (predicted = actual) were 100% for both of them. According to the RMSE values, the dynamically predicted effect of the seasonal exponential smoothing model was superior to ARIMA. CONCLUSION: Dynamic prediction on the number of influenza-like cases could reflect the epidemiological trend of influenza in Gansu province, but with some limitations.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Vigilancia de Guardia
/
Gripe Humana
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Límite:
Humans
País/Región como asunto:
Asia
Idioma:
Zh
Revista:
Zhonghua Liu Xing Bing Xue Za Zhi
Año:
2012
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
China