From: Prevalence of Zika virus in blood donations: a systematic review and meta-analysis
Study | Author study year | Sample source | Study period (aepidemic) | Area | Event | Number | Detection method | Viral loads | Quality score |
---|---|---|---|---|---|---|---|---|---|
p1 | Bierlaire2014 | blood collections tested prospectively and retrospectively | 3 monthsa | French Polynesia | 42 | 1505 | lab developed NAT assay | 2.5e3–8.1e6 copies/ ml | 8 |
p2 | Chevalier2016 | blood donation screening in 2 largest blood centers | 4 monthsa | Puerto Rico | 190 | 21,468 | Cobas Zika ID-NAT | NM | 7 |
p3 | Gake2015 | blood donors from six sites representing eco-environments | 2 months | Cameroon | 53 | 1084 | Euroimmun anti-Zika NS1 IgG ELISA | NM | 4 |
p4 | Williamson2016 | blood donor screening at laboratories | 2 months | several states of United State | 5 | 466,834 | Procleix ZIKV assay, RT-PCR, CDC IgM/IgG-ELISA | 102 IU | 7 |
p5 | Borena2016 | blood donors at randomly selected donation sites | 3 months | Austria | 4 | 1001 | Euroimmun anti-Zika NS1 IgM/IgG ELISA | NM | 6 |
p5.1 | Â | Â | Â | Â | 0 | 1001 | RealStar zika virus RT-PCR kit 1.0 | Â | Â |
p6 | Gallian2016 | consecutive blood donations | 5 monthsa | Martinique | 76 | 4129 | RealStar Zika virus RT-PCR Kit_1.1 | 2.1–6.5log10 copies/ml | 6 |
p7 | Slavov2016 | volunteer blood donors | 7 monthsa | Brazil | 37 | 1393 | In-house method RNA test | mean 7714 copies/ml | 8 |
p8 | Kuehnert2016 | screened blood donations | 2 monthsa | Puerto Rico | 68 | 12,777 | Cobas Zika NAT assay | NM | 4 |
p9 | Adams2016 | screened blood donations | 3 monthsa | Puerto Rico | 143 | 18,163 | Cobas Zika NAT assay | NM | 4 |
p10 | Aubry2013 | volunteer blood donors | 27 months | French Polynesia | 5 | 593 | self-developed indirect IgG ELISA | NM | 5 |