Using hepatitis C viral load distribution data from a global database to derive the optimal limit of detection for a point-of-care diagnostic test

被引：0

|

作者：

Freiman, J. Morgan ^{[1
]}

Wang, J. ^{[1
]}

Easterbrook, P. ^{[2
]}

Kamkamidze, G. ^{[3
]}

Krajden, M. ^{[4
]}

Loarec, A. ^{[5
]}

Marinucci, F. ^{[6
]}

Kinh, N. V. ^{[7
]}

Njouom, R. ^{[8
]}

Solomon, S. S. ^{[9
]}

Tsertsvadze, T. ^{[10
]}

White, L. F. ^{[11
]}

Denkinger, C. ^{[6
]}

Linas, B. ^{[1
]}

机构：

[1] Boston Univ, Med Ctr, Infect Dis, Boston, MA USA

[2] WHO, Geneva, Switzerland

[3] Georgia Hepatitis C Eliminat Program, Tbilisi, Georgia

[4] British Columbia Ctr Dis Control, Vancouver, BC, Canada

[5] MSF, Geneva, Switzerland

[6] FIND, Geneva, Switzerland

[7] TREAT Asia, Bangkok, Thailand

[8] Ctr Pasteur Cameroon, Yaounde, Cameroon

[9] Johns Hopkins Univ, Baltimore, MD 21218 USA

[10] Infect Dis & Clin Immunol Res Ctr, Tbilisi, Georgia

[11] Boston Univ, Sch Publ Hlth, Boston, MA USA

来源：

JOURNAL OF HEPATOLOGY | 2018年 / 68卷

关键词：

D O I：

暂无

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

THU-419

引用

收藏

页码：S319 / S319

页数：1

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