2020
DOI: 10.1007/s13160-020-00422-2
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Pre-exposure prophylaxis HIV/AIDS mathematical model with non classical isolation

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Cited by 8 publications
(6 citation statements)
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“…Biologically, this parameter R 0 is stated as: "the average number of secondary infections generated by a typical single JE infected individual in the entirely susceptible individuals in which a few people have been immunized", [31].…”
Section: Steady-states and Basic Reproductive Numbermentioning
confidence: 99%
“…Biologically, this parameter R 0 is stated as: "the average number of secondary infections generated by a typical single JE infected individual in the entirely susceptible individuals in which a few people have been immunized", [31].…”
Section: Steady-states and Basic Reproductive Numbermentioning
confidence: 99%
“…Therefore, the model is epidemically well-posed and meaningful since all the state variables are non-negative for all (Djomegni et al. 2020 ; Rabiu et al. 2020 , 2020 ; Rabiu and Akinyemi 2016 ) .…”
Section: Analysis Of the Modelmentioning
confidence: 99%
“…variables are non-negative for all t ≥ 0 (Djomegni et al 2020;Rabiu and Akinyemi 2016) . Hence, Σ is a feasible region and it is sufficient to study the model in Σ .…”
Section: Basic Properties Of the Modelmentioning
confidence: 99%
“…In recent years, mathematical modelling is becoming key techniques in the area of infectious disease propagation and control [13][14][15][16][17][18]. The studies on the mathematical analysis of human diseases and epidemic models have been conducted, which combine numerical studies with dynamic system methodologies such as stability analysis, LaSalles invariance principle, Routh-Hurwitz criterion and Lyapunov function [19].…”
Section: Introductionmentioning
confidence: 99%