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Low-cost tools for diagnosing and monitoring HIV infection in low-resource settings

Overview of attention for article published in Bulletin of the World Health Organization, October 2012
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Title
Low-cost tools for diagnosing and monitoring HIV infection in low-resource settings
Published in
Bulletin of the World Health Organization, October 2012
DOI 10.2471/blt.12.102780
Pubmed ID
Authors

Grace Wu, Muhammad H Zaman

Abstract

Low-cost technologies to diagnose and monitor human immunodeficiency virus (HIV) infection in developing countries are a major subject of current research and health care in the developing world. With the great need to increase access to affordable HIV monitoring services in rural areas of developing countries, much work has been focus on the development of point-of-care technologies that are affordable, robust, easy to use, portable and of sufficient quantitative accuracy to enable clinical decision-making. For diagnosis of HIV infection, some low-cost tests, such as lateral flow tests and enzyme-linked immunosorbent assays, are already in place and well established. However, portable quantitative tests for rapid HIV monitoring at the point of care have only recently been introduced to the market. In this review, we discuss low-cost tests for HIV diagnosis and monitoring in low-resource settings, including promising technologies for use at the point of care, that are available or close to market.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 2%
Student > Ph. D. Student 5 2%
Researcher 5 2%
Student > Master 5 2%
Student > Doctoral Student 3 1%
Other 5 2%
Unknown 229 89%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 4%
Engineering 4 2%
Medicine and Dentistry 3 1%
Unspecified 2 <1%
Materials Science 2 <1%
Other 7 3%
Unknown 229 89%