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BioMed Research International
Volume 2018, Article ID 4390318, 8 pages
https://doi.org/10.1155/2018/4390318
Research Article

Western Blot-Based Logistic Regression Model for the Identification of Recent HIV-1 Infection: A Promising HIV-1 Surveillance Approach for Resource-Limited Regions

1Guangxi Key Laboratory of AIDS Prevention and Treatment and Guangxi Universities Key Laboratory of Prevention and Control of Highly Prevalent Disease, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
2Guangxi Collaborative Innovation Center for Biomedicine, Life Science Institute, Guangxi Medical University, Nanning, Guangxi, China
3Geriatrics Digestion Department of Internal Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China

Correspondence should be addressed to Li Ye; nc.ude.umxg@iley and Hao Liang; nc.ude.umxg@oahgnail

Received 1 August 2017; Accepted 10 December 2017; Published 14 January 2018

Academic Editor: Lucia Lopalco

Copyright © 2018 Jiegang Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jiegang Huang, Minlian Wang, Chunyuan Huang, et al., “Western Blot-Based Logistic Regression Model for the Identification of Recent HIV-1 Infection: A Promising HIV-1 Surveillance Approach for Resource-Limited Regions,” BioMed Research International, vol. 2018, Article ID 4390318, 8 pages, 2018. https://doi.org/10.1155/2018/4390318.