On the efficiency of HIV transmission: Insights through discrete time HIV models

English version

Autoři: Sarudzai P. Showa ^aff001; Farai Nyabadza ^aff002; Senelani D. Hove-Musekwa ^aff001
Působiště autorů: Department of Applied Mathematics, National University of Science and Technology, Bulawayo, Zimbabwe ^aff001; Department of Mathematics and Applied Mathematics, Auckland Park Campus, University of Johannesburg, Johannesburg, South Africa ^aff002
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0222574

Souhrn

There are different views on which of the two forms of viral spread is more efficient in vivo between cell-free and cell-associated virus. In this study, discrete time human immunodeficiency virus models are formulated and analysed with the goal of determining the form of viral spread that is more efficient in vivo. It is shown that on its own, cell-free viral spread cannot sustain an infection owing to the low infectivity of cell-free virus and cell-associated virus can sustain an infection because of the high infectivity of cell-associated virus. When acting concurrently, cell-associated virus is more efficient in spreading the infection upon exposure to the virus. However, in the long term, the two forms of viral spread contribute almost equally. Both forms of viral spread are shown to be able to initiate an infection.

Klíčová slova:

Biology and life sciences – Cell biology – Cellular types – Animal cells – Blood cells – White blood cells – T cells – Immune cells – Microbiology – Medical microbiology – Microbial pathogens – Viral pathogens – Immunodeficiency viruses – HIV – Retroviruses – Lentivirus – Virology – Viral structure – Virions – Organisms – Viruses – RNA viruses – Anatomy – Body fluids – Blood – Semen – Physiology – Developmental biology – Life cycles – Medicine and health sciences – Immunology – Pathology and laboratory medicine – Pathogens – Infectious diseases – Viral diseases – HIV infections – Sexually transmitted diseases

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On the efficiency of HIV transmission: Insights through discrete time HIV models

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