title: [Joint application of mathematic models in assessing the residual risk of hepatitis C virus transmitted through blood transfusion].
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. 1(st), 2007 to Dec. 31(st), 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.
authors.affiliation: Shanghai Blood Center, China. wangxun_11@hotmail.com
authors.forename: Xun
authors.initials: X
authors.lastname: Wang
authors.forename: Yao
authors.initials: Y
authors.lastname: Jia
authors.forename: Yun-zheng
authors.initials: YZ
authors.lastname: Xie
authors.forename: Xiu-mei
authors.initials: XM
authors.lastname: Li
authors.forename: Xiao-ying
authors.initials: XY
authors.lastname: Liu
authors.forename: Xiao-fei
authors.initials: XF
authors.lastname: Wu
mesh_terms: D000328:Adult; D002681:China / Q000453:epidemiology; D005260:Female; D016174:Hepacivirus; D006526:Hepatitis C / Q000453:epidemiology / Q000635:transmission*; D006801:Humans; D015994:Incidence; D008297:Male; D008962:Models, Theoretical; D015995:Prevalence; D018570:Risk Assessment; D065227:Transfusion Reaction