C
Claver P. Bhunu
Researcher at University of Zimbabwe
Publications - 67
Citations - 1231
Claver P. Bhunu is an academic researcher from University of Zimbabwe. The author has contributed to research in topics: Acquired immunodeficiency syndrome (AIDS) & Population. The author has an hindex of 17, co-authored 67 publications receiving 1035 citations. Previous affiliations of Claver P. Bhunu include University of Cambridge & National University of Science and Technology.
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The impact of media coverage on the transmission dynamics of human influenza.
TL;DR: A deterministic transmission and vaccination model is formulated to investigate the effects of media coverage on the transmission dynamics of influenza and shows that the media can trigger a vaccinating panic if the vaccine is imperfect and simplified messages result in the vaccinated mixing with the infectives without regard to disease risk.
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Modeling HIV/AIDS and tuberculosis coinfection.
TL;DR: Treatment of AIDS cases results in a significant reductions of numbers of individuals progressing to active TB, and treatment of latent and active forms of TB results in delayed onset of the AIDS stage of HIV infection.
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Tuberculosis transmission model with chemoprophylaxis and treatment.
TL;DR: The study shows that treatment of infectives is more effective in the first years of implementation (≈ 10 years) as treatment results in clearing active TB immediately and there after chemoprophylaxis will do better in controlling the number ofinfectives due to reduced progression to active TB.
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Mathematical analysis of a two strain hiv/aids model with antiretroviral treatment
TL;DR: A two strain HIV/AIDS model with treatment which allows AIDS patients with sensitive HIV-strain to undergo amelioration is presented as a system of non-linear ordinary differential equations and analysis of the reproduction numbers show that antiretroviral resistance increases with increase in antireTroviral use.
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Modeling gonorrhea and HIV co-interaction.
Steady Mushayabasa,Jean M. Tchuenche,Claver P. Bhunu,Claver P. Bhunu,Ethel T. Ngarakana-Gwasira +4 more
TL;DR: Numerical simulations of the full HIV-gonorrhea model show that the two epidemics co-exists whenever their reproduction numbers exceed unity, and suggest that an increase in the number of individuals infected with gonorrhea in the presence of treatment results in a decrease in Gonorrhea-only cases, dual-infection cases but increases thenumber of HIV- only cases.