A new pattern-based method for identifying recent HIV-1 infections from the viral env sequence-Reference-Cited by-同舟云学术

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A new pattern-based method for identifying recent HIV-1 infections from the viral env sequence

Published:2012-04 Issue:4 Volume:55 Page:328-335
ISSN:1674-7305
Container-title:Science China Life Sciences
language:en
Short-container-title:Sci. China Life Sci.

Author:

Yang Jing,Xia XiaYu,He Xiang,Yang SenLin,Ruan YuHua,Zhao QuanBi,Wang ZhiXin,Shao YiMing,Pan XianMing

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/content/pdf/10.1007/s11427-012-4312-0.pdf

Reference25 articles.

1. Hall H I, Song R, Rhodes P, et al. Estimation of HIV incidence in the United States. JAMA, 2008, 300: 520–529

2. Brookmeyer R. Measuring the HIV/AIDS epidemic: approaches and challenges. Epidemiol Rev, 2010, 32: 26–37

3. Dobbs T, Kennedy S, Pau CP, et al. Performance characteristics of the immunoglobulin G-capture BED-enzyme immunoassay, an assay to detect recent human immunodeficiency virus type 1 seroconversion. J Clin Microbiol, 2004, 42: 2623–2628

4. Guy R, Gold J, Calleja J M, et al. Accuracy of serological assays for detection of recent infection with HIV and estimation of population incidence: a systematic review. Lancet Infect Dis, 2009, 9: 747–759

5. Hargrove J W, Humphrey J H, Mutasa K, et al. Improved HIV-1 incidence estimates using the BED capture enzyme immunoassay. AIDS, 2008, 22: 511–518

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4. HIV-1 envelope sequence-based diversity measures for identifying recent infections;PLOS ONE;2017-12-28

5. Strengthening HIV surveillance: measurements to track the epidemic in real time;African Journal of AIDS Research;2016-07-11

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