Modern methods for detecting cases of recent human immunodeficiency virus infection


DOI: https://dx.doi.org/10.18565/epidem.2020.10.3.116-22

Murzakova A.V., Kireev D.E.

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being, Moscow, Russia
Assessment of the incidence of HIV infection among the population is an important tool to estimate the rate of epidemic development and to reliably monitor the effectiveness of preventive and therapeutic measures. The detection of recent HIV infection cases is crucial for this parameter. Standard diagnostic test systems cannot determine the duration of the disease; therefore work is underway for a long time to develop new tests that allow for evaluation of cases of the infection, by defining the approximate infectious periods. None of the known methods can individually determine the duration of the infection with sufficient accuracy. The existing tests can be combined into a holistic algorithm, thereby increasing the overall accuracy and sensitivity of the approach to detecting cases of early infection. The paper describes the currently known approaches to identifying cases of recent infection and determining the probable timing of infection, as well as the advantages and disadvantages of the existing methods.

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About the Autors


Anastasia V. Murzakova, Researcher, Research Group for Development of New Methods for Diagnosing HIV infection and Viral Hepatitis, Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being, Moscow, Russia; e-mail: murzakova_ a.v@mail.ru; ORCID: https://orcid.org/0000-0002-1390-8021
Dmitry E. Kireev, Cand. Biol. Med., Head, Research Group for Development of New Methods for Diagnosing HIV infection and Viral Hepatitis, Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being, Moscow, Russia; e-mail: dmitkireev@yandex.ru; ORCID: https://orcid.org/0000-0002-7896-2379


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