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Joint application of mathematic models in assessing the residual risk of hepatitis C virus transmitted through blood transfusion / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 936-939, 2011.
Article in Chinese | WPRIM | ID: wpr-269231
ABSTRACT
The practicable and effective methods for residual risk assessment on transfusion-transmitted disease was to establish the mathematic models. Based on the characteristics of the repeat donors which donated their blood on a regular base, a model of sero-conversion during the interval of donations was established to assess the incidence of the repeat donors. Based on the characteristics of the prevalence in the population, a model of ‘prevalence increased with the age of the donor' was established to assess the incidence of those first-time donors. And based on the impact of the windows period through blood screening program, a model of residual risk associated with the incidence and the length of the windows period was established to assess the residual risk of blood transfusion. In this paper, above said 3 kinds of mathematic models were jointly applied to assess the residual risk of hepatitis C virus (HCV) which was transmitted through blood transfusion in Shanghai,based on data from the routine blood collection and screening program. All the anti-HCV unqualified blood donations were confirmed before assessment. Results showed that the residual risk of HCV transmitted through blood transfusion during Jan. 1st,2007 to Dec. 31st,2008 in Shanghai was 1∶101 000. Data showed that the results of residual risk assessment with mathematic models was valuable. The residual risk of transfusion-transmitted HCV in Shanghai was at a safe level, according to the results in this paper.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2011 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2011 Type: Article