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- W2371262564 abstract "OBJECTIVE To estimate the daily prevalence rate of nosocomial infections(NI) and variation trends and to predict the prevalence of NI in 2012.METHODS The real time nosocomial infection surveillance system(RT-NISS) was employed to collect the prevalence data from Jan 1,2010 to Dec 30,2011,the variation trend was analyzed,and weighted average method and BP network model were adopted to predict the prevalence from Jan 1,2012 to Apr 30,2012;the actual value and predicted value were compared to analyze the prediction effect.RESULTS The average prevalence rate was 5.26% in 2010,and 5.53% in 2011;the variation trend of the daily prevalence rate during the two years was basically consistent,the prevalence rate was the highest during the holiday(from 13th to 19th of Feb),the mean value of the two years were 10.19% and 13.53% respectively,followed by the holiday from Oct 1st to Oct 7TH(7.51% vs 6.98%) respectively;there was not significant difference between the actual value and the predicated value acquired by weighted average method,and the difference between the predicated value and the actual value acquired by the BP network model was statistically significant.CONCLUSION The prevalence rate of nosocomial infections is higher during the holidays than the usual time,both the weighted average method and BP network model can be used to predict the variation of prevalence of nosocomial infections,as compared the data of the two years,the weighted average method is superior to the BP network model." @default.
- W2371262564 created "2016-06-24" @default.
- W2371262564 creator A5083615277 @default.
- W2371262564 date "2012-01-01" @default.
- W2371262564 modified "2023-09-26" @default.
- W2371262564 title "Prevalence of nosocomial infections in a general hospital:a predictive study" @default.
- W2371262564 hasPublicationYear "2012" @default.
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