2020
DOI: 10.1186/s13662-020-02856-x
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Modelling intracellular delay and therapy interruptions within Ghanaian HIV population

Abstract: This paper seeks to unveil the niche of delay differential equation in harmonizing low HIV viral haul and thereby articulating the adopted model, to delve into structured treatment interruptions. Therefore, an ordinary differential equation is schemed to consist of three components such as untainted CD4+ T-cells, tainted CD4+ T-cells (HIV) and CTL. A discrete time delay is ushered to the formulated model in order to account for vital components, such as intracellular delay and HIV latency which were missing in… Show more

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Cited by 11 publications
(8 citation statements)
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“…Due to the fatality of COVID-19, transdisciplinary researchers have focused their attention on the mode of transmission, the structure of the new virus, its life-span, and mutation in the human body, its persistence on the surface, air and, water ( La Rosa et al, 2020a , La Rosa et al, 2020b ). The available literature shows the evolution of new mathematical models, which aim at understanding the spread to predict the future behavior of the virus ( Atangana, 2020 ; Owusu et al, 2020 ; Danane et al, 2020 ). Complex statistical analysis is used to predict the future numbers of deaths, infected, and recovered to inform policy that helps to flatten the curve of COVID-19 ( Atangana and Seda, 2020 ; Kasereka Kabunga et al, 2020 ; Fatmawati et al, 2020 ; Zhang and Liu, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
“…Due to the fatality of COVID-19, transdisciplinary researchers have focused their attention on the mode of transmission, the structure of the new virus, its life-span, and mutation in the human body, its persistence on the surface, air and, water ( La Rosa et al, 2020a , La Rosa et al, 2020b ). The available literature shows the evolution of new mathematical models, which aim at understanding the spread to predict the future behavior of the virus ( Atangana, 2020 ; Owusu et al, 2020 ; Danane et al, 2020 ). Complex statistical analysis is used to predict the future numbers of deaths, infected, and recovered to inform policy that helps to flatten the curve of COVID-19 ( Atangana and Seda, 2020 ; Kasereka Kabunga et al, 2020 ; Fatmawati et al, 2020 ; Zhang and Liu, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
“…To model viral infection dynamics, several mathematical models have been proposed and developed [3,9]. Most of these models are based on the assumption that healthy cells can only be infected by viruses, and so they consider only the virus-to-cell infection mode [1,16,29,28,30,31]. Authors in [23] consider a mathematical model that describes a viral infection of HIV-1 with both virus-to-cell and cell-to-cell transmission with other features.…”
Section: Introductionmentioning
confidence: 99%
“…Also, the authors in [18][19][20][21] presented interesting mathematical models that discussed controlling the spread of COVID-19 and allocation of COVID-19 vaccines to priority groups using the MCDM approach. Besides, several studies have provided mathematical analyses of other infectious diseases such as TB [22][23][24], Ebola [25], HBV [26], HIV [27], Lassa hemorrhagic fever [28], dengue [29], etc.…”
Section: Introductionmentioning
confidence: 99%