Abstract
In this research, we present an analytical analysis of HIV-1 infection of CD4 + T cells with a conformable derivative model (CDM) in biology. An improved \(\left( {{{\Upsilon^{\prime}} \mathord{\left/ {\vphantom {{\Upsilon^{\prime}} \Upsilon }} \right. \kern-0pt} \Upsilon }} \right)\)-expansion method is used to investigate this model analytically to construct a new exact traveling wave solution, namely, exponential function, trigonometric function, and the hyperbolic function, which can be further studied for more (FNEE) fractional nonlinear evolution equations in biology. Also, we provide some graphs in 2D plots that demonstrate how accurate the results will be produced using analytical approaches.
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1 Introduction
The human immunodeficiency virus (HIV) predominantly targets CD4 + T cells, the immune system's biggest white blood cells [1, 2]. HIV infection attacks all cells, but it is CD4 + T cells that are the most damaging and impair the immune system by eliminating them [3]. When the number of CD4 + T cells falls below a particular threshold, the cell-mediated immune system vanishes, the immune system weakens, and the body becomes vulnerable to infection [3]. Pearson [4] provided a straightforward mathematical model for HIV infection. This model has served as an inspiration for scientists working on HIV modeling [4,5,6]. The mathematical models for HIV described here are extremely helpful in understanding the dynamics of HIV infection [7,8,9,10]. A group of scientists led by Agosto et al. [11] constructed an HIV model that included HIV cell-to-cell transmission and studied the characteristics of CD4 + T cells in depth. HIV-1 latency and processes have been described by Ruelas et al. [12] in order to better understand this deadly retrovirus. Sun et al. [13] indicated the c-myc proto-oncogene in the context of HIV-1 infection. The literature has supplied several mathematical models that have applications in varied fields akin to engineering, physics, etc., to the last of those sciences [14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50]. In this regard, the 2019-nCoV pandemic that has afflicted the world has been thoroughly explored and studied [51,52,53,54,55,56,57]. Furthermore, COVID has impacted nearly every country on the globe in terms of economic, social, and psychological issues. Some key features of DNA have been observed by Cattani et al. [58] utilizing a mathematical model to describe them, and Owolabi et al. [59, 60] examined epidemiological models that included fractional order.
This study is arranged as follows: Sect. 2 offers an overview of the research model. The analytical solutions to this model and some diagrams for some of the analytical solutions we shall get are in Sect. 3. In the final part, we present the conclusion.
2 New algorithm scheme of the HIV-1 infection of CD4+ T cell
Let us first consider the new biomathematical model as follows [61,62,63]
This model with f(t), g(t), h(t), \(\nu \in \left( {0,\;1} \right]\) and \(\beta_{i}\), (i = 1, …, 6) is arbitrary constants that indicate the rate of production of CD4 + T cells, the rate of natural death rate, infected CD4 + cells from uninfected CD4 + cells, virus-producing cells' death, creation of vision viruses by infected cells, and virus particle death.
The conformable derivative (CD) of order \(\nu\) can be computed using the following formula:
for all t > 0, \(\nu \in \left( {0,\;1} \right]\).
Using the transformation described below
Then Eq. (1), becomes
In the following, the analytical scheme is used for generating new exact traveling wave solutions of the reduced Eq. (4).
3 New analytical solutions HIV-1 infection of CD4+ T cell
Here, the extended analytical method has been used for getting new exact solutions for fractional Eq. (4).
3.1 Improved \(\left( {{{\Upsilon^{\prime}} \mathord{\left/ {\vphantom {{\Upsilon^{\prime}} \Upsilon }} \right. \kern-0pt} \Upsilon }} \right)\) expansion method
In what’s follows [64,65,66,67,68,69,70], let the polynomial form of solution for Eq. (4) can be presented as follows:
where \(A_{0}\), \(A_{1}\), \(A_{2}\)…, \(A_{N}\), \(B_{0}\), \(B_{1}\), \(B_{2}\)…, \(B_{U}\),and \(M_{0}\), \(M_{1}\), \(M_{2}\),… \(M_{O}\) are constants, which can be determined by considering the derivative term of highest order with comparison of nonlinear terms of the governing equation, while \(F\left( \varsigma \right)\) is introduced by
where \(\Upsilon = \Upsilon \left( \zeta \right)\) follows the ODE in the following form:
where \(\alpha\), \(\beta\), and \(\delta\) are constants.
Equation (7) can be rewritten as
The generalized solutions of Eq. (7) are the four types of solutions as follows:
-
Case (1) if \(\Lambda = \beta^{2} + 4\alpha - 4\alpha \delta \ge 0\) and \(\beta \ne 0\), then
-
Case (2) If \(\Lambda = \beta^{2} + 4\alpha - 4\alpha \delta < 0\) and \(\beta \ne 0\), then
$$F\left( \zeta \right) = \frac{\beta }{{2\left( {1 - \delta } \right)}} + \frac{{\beta \sqrt { - \Lambda } }}{{2\left( {1 - \delta } \right)}}\left( {\frac{{i\delta_{1} \cos \left( {\frac{{\sqrt { - \Lambda } }}{2}\zeta } \right) - \delta_{2} \sin \left( {\frac{{\sqrt { - \Lambda } }}{2}\zeta } \right)}}{{i\delta_{1} \sin \left( {\frac{{\sqrt { - \Lambda } }}{2}\zeta } \right) + \delta_{2} \cos \left( {\frac{{\sqrt { - \Lambda } }}{2}\zeta } \right)}}} \right)$$(10)
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Case (3) If \(\Lambda = \alpha \left( {1 - \delta } \right) \ge 0\) and \(\beta = 0\), then
$$F\left( \zeta \right) = \frac{\sqrt \Lambda }{{\left( {1 - \delta } \right)}}\left( {\frac{{\delta_{1} \cos \left( {\sqrt \Lambda \,\zeta } \right) + \delta_{2} \sin \left( {\sqrt {\Lambda \,} \zeta } \right)}}{{\delta_{1} \sin \left( {\sqrt \Lambda \,\zeta } \right) - \delta_{2} \cos \left( {\sqrt \Lambda \,\zeta } \right)}}} \right)$$(11)
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Case (4) If \(\Lambda = \alpha \left( {1 - \delta } \right) < 0\) and \(\beta = 0\), then
$$F\left( \zeta \right) = \frac{{\sqrt { - \Lambda } }}{{\left( {1 - \delta } \right)}}\left( {\frac{{i\delta_{1} \cosh \left( {\sqrt { - \Lambda \,} \zeta } \right) - \delta_{2} \sinh \left( {\sqrt { - \Lambda \,} \zeta } \right)}}{{i\delta_{1} \sinh \left( {\sqrt { - \Lambda \,} \zeta } \right) - \delta_{2} \cosh \left( {\sqrt { - \Lambda \,} \zeta } \right)}}} \right)$$(12)where, \(\zeta = c\frac{{t^{\nu } }}{\nu }\) and \(\alpha ,\beta ,\delta ,\delta_{1} ,\delta_{2}\) are real parameters.
3.2 Application of improved \(\left( {{{\Upsilon^{\prime}} \mathord{\left/ {\vphantom {{\Upsilon^{\prime}} \Upsilon }} \right. \kern-0pt} \Upsilon }} \right)\) expansion method
In order to use this approach on our model, we must strike a balance between \(f^{\prime}\left( \zeta \right)\) with \(f\left( \zeta \right)h\left( \zeta \right)\), \(g^{\prime}\left( \zeta \right)\) with \(f\left( \zeta \right)h\left( \zeta \right)\) and \(h^{\prime}\left( \zeta \right)\) with \(h\left( \zeta \right)\) in Eq. (4), and we obtain N = U = 2, O = 1. Then, the solutions of Eq. (4) yields
Inserting Eq. (13) into Eq. (4) with the aid of (8) yields a system of algebraic equations. By solving them, it gains.
-
Set (1)
-
Set (2)
$$\left\{ \begin{gathered} c = c,A_{0} = - B_{0} ,A_{1} = \frac{1}{2}\frac{{\ell B_{0} }}{\alpha },A_{2} = 0,B_{0} = B_{0} ,,\beta_{6} = \beta_{6} ,\ell = \left( { \mp \beta + \sqrt {\beta^{2} - 4\alpha \delta + 4\alpha } } \right), \hfill \\ B_{2} = 0,M_{0} = M_{0} ,M_{1} = - \frac{{c\left( {\delta - 1} \right)}}{{\beta_{3} }},\beta_{1} = 0,B_{1} = \frac{1}{2}\frac{{\ell B_{0} }}{\alpha }, \hfill \\ \beta_{2} = \mp \frac{{2\alpha \left( {c\delta - c \pm \frac{1}{2}\frac{{\beta_{3} \ell M_{0} }}{\alpha } \pm \frac{c\beta \ell }{{2\alpha }}} \right)}}{\ell },\beta_{4} = \mp \frac{{2\alpha \left( {c\delta - c \pm \frac{1}{2}\frac{{\beta_{3} \ell M_{0} }}{\alpha } \pm \frac{c\beta \ell }{{2\alpha }}} \right)}}{\ell } \hfill \\ \end{gathered} \right\}$$(15)
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Set (3)
$$\left\{ \begin{gathered} c = c,A_{0} = A_{0} ,A_{1} = A_{1} ,A_{2} = 0,B_{0} = B_{0} ,B_{1} = - A_{1} , \hfill \\ B_{2} = 0,M_{0} = \frac{{c\left( {B_{0} A_{0} \delta - B_{0} A_{0} - B_{0} A_{1} \beta - A_{1}^{2} \alpha } \right)}}{{\beta_{3} A_{1} \left( {A_{0} + B_{0} } \right)}},M_{1} = - \frac{{c\left( {\delta - 1} \right)}}{{\beta_{3} }},\beta_{1} = \frac{{c\left( {A_{0}^{2} \delta - A_{0}^{2} - A_{1}^{2} \alpha - A_{1} \beta A_{0} } \right)}}{{A_{1} }}, \hfill \\ \beta_{2} = \frac{{c\left( {A_{0}^{2} \delta - A_{0}^{2} - A_{1}^{2} \alpha - A_{1} \beta A_{0} } \right)}}{{A_{1} \left( {A_{0} + B_{0} } \right)}},\beta_{4} = \frac{{c\left( {A_{0}^{2} \delta - A_{0}^{2} - A_{1}^{2} \alpha - A_{1} \beta A_{0} } \right)}}{{A_{1} \left( {A_{0} + B_{0} } \right)}},\beta_{6} = \beta_{6} \hfill \\ \end{gathered} \right\}$$(16)
-
Set (4)
$$\left\{ \begin{gathered} c = c,A_{0} = \frac{{A_{1} \alpha }}{\beta },A_{1} = A_{1} ,A_{2} = \frac{{A_{1} \left( {\delta - 1} \right)}}{\beta },B_{0} = B_{0} ,B_{1} = B_{1} ,\beta_{2} = - \frac{{\beta c\left( {A_{1} + B_{1} } \right)}}{{A_{1} }}, \hfill \\ B_{2} = - \frac{{A_{1} \left( {\delta - 1} \right)}}{\beta },M_{0} = \frac{{cB_{1} \beta }}{{\beta_{3} A_{1} }},M_{1} = - \frac{{2c\left( {\delta - 1} \right)}}{{\beta_{3} }},\beta_{1} = 0,\beta_{4} = 0,\beta_{6} = \beta_{6} \hfill \\ \end{gathered} \right\}$$(17)
-
Set (5)
$$\left\{ \begin{gathered} c = c,A_{0} = \frac{{A_{1} \alpha }}{\beta },A_{1} = A_{1} ,A_{2} = \frac{{A_{1} \left( {\delta - 1} \right)}}{\beta },B_{0} = B_{0} ,B_{1} = B_{1} ,\beta_{4} = 0,\beta_{6} = \beta_{6} , \hfill \\ B_{2} = - \frac{{A_{1} \left( {\delta - 1} \right)}}{\beta },M_{0} = \frac{{cB_{1} \beta }}{{\beta_{3} A_{1} }},M_{1} = - \frac{{2c\left( {\delta - 1} \right)}}{{\beta_{3} }},\beta_{1} = 0,\beta_{2} = - \frac{{\beta c\left( {A_{1} + B_{1} } \right)}}{{A_{1} }} \hfill \\ \end{gathered} \right\}$$(18)
-
Set (6)
$$\left\{ \begin{gathered} c = 0,A_{0} = \frac{1}{2}\frac{{A_{1}^{2} \delta - A_{1} \beta A_{2} - A_{1}^{2} + 2A_{2}^{2} \alpha }}{{A_{2} \left( {\delta - 1} \right)}},A_{1} = A_{1} ,A_{2} = A_{2} , \hfill \\ B_{0} = \frac{1}{2}\left( {\frac{{A_{1}^{2} \delta - A_{1}^{2} - A_{1} B_{1} + A_{1} B_{1} \delta - A_{1} \beta A_{2} + 2A_{2}^{2} \alpha }}{{A_{2} \left( {\delta - 1} \right)}}} \right), \hfill \\ B_{1} = B_{1} ,B_{2} = - A_{2} ,M_{0} = \frac{{c\left( {B_{1} \delta - A_{2} \beta + A_{1} \delta - A_{1} - B_{1} } \right)}}{{A_{2} \beta_{3} }},M_{1} = - \frac{{2c\left( {\delta - 1} \right)}}{{\beta_{3} }}, \hfill \\ \beta_{1} = \frac{1}{2}c\left( {\frac{{ - 2A_{1}^{3} \delta + 2A_{2}^{2} \beta^{2} A_{1} + 3A_{2} \beta A_{1}^{2} - 4A_{2}^{3} \beta \alpha + A_{1}^{3} + 4A_{1} \delta A_{2}^{2} \alpha - 4A_{1} A_{2}^{2} \alpha + A_{1}^{3} \delta^{2} - 3A_{2} \beta A_{1}^{2} \delta }}{{A_{2}^{2} \left( {\delta - 1} \right)}}} \right), \hfill \\ \beta_{2} = - \frac{{c\left( {A_{2} \beta + B_{1} \delta - B_{1} } \right)}}{{A_{2} }},\beta_{4} = \frac{{c\left( {A_{1} \delta - A_{1} - A_{2} \beta } \right)}}{{A_{2} }},\beta_{6} = \beta_{6} \hfill \\ \end{gathered} \right\}$$(19)
-
Set (7)
$$\left\{ \begin{gathered} c = 0,A_{0} = \frac{1}{2}\frac{{A_{1}^{2} \delta - A_{1} \beta A_{2} - A_{1}^{2} + 2A_{2}^{2} \alpha }}{{A_{2} \left( {\delta - 1} \right)}},A_{1} = A_{1} ,A_{2} = A_{2} ,\beta_{2} = \beta_{4} , \hfill \\ B_{0} = \frac{1}{2}\left( {\frac{\begin{gathered} cA_{1}^{3} \delta^{2} - 3cA_{2} \beta A_{1}^{2} \delta - 2cA_{1}^{3} \delta + 2cA_{2}^{2} \beta^{2} A_{1} + 3cA_{2} \beta A_{1}^{2} - 4cA_{2}^{3} \beta \alpha \hfill \\ - \beta_{4} A_{2} A_{1}^{2} \delta + \beta_{4} A_{2}^{2} A_{1} \beta + \beta_{4} A_{2} A_{1}^{2} - 2\beta_{4} A_{2}^{3} \alpha + cA_{1}^{3} + 4cA_{1} \delta A_{2}^{2} \alpha - 4cA_{1} A_{2}^{2} \alpha \hfill \\ \end{gathered} }{{\beta_{4} A_{2}^{2} \left( {\delta - 1} \right)}}} \right), \hfill \\ B_{1} = - A_{1} ,B_{2} = - A_{2} ,M_{0} = \frac{{cA_{1} \delta - 2cA_{2} \beta - \beta_{4} A_{2} - cA_{1} }}{{A_{2} \beta_{3} }},M_{1} = - \frac{{2c\left( {\delta - 1} \right)}}{{\beta_{3} }}, \hfill \\ \beta_{1} = \frac{1}{2}c\left( {\frac{\begin{gathered} - 2A_{1}^{3} \delta + 2A_{2}^{2} \beta^{2} A_{1} + 3A_{2} \beta A_{1}^{2} - 4A_{2}^{3} \beta \alpha + A_{1}^{3} \hfill \\ + 4A_{1} \delta A_{2}^{2} \alpha - 4A_{1} A_{2}^{2} \alpha + A_{1}^{3} \delta^{2} - 3A_{2} \beta A_{1}^{2} \delta \hfill \\ \end{gathered} }{{A_{2}^{2} \left( {\delta - 1} \right)}}} \right),\beta_{4} = \beta_{4} ,\beta_{6} = \beta_{6} \hfill \\ \end{gathered} \right\}$$(20)
-
Set (8)
$$\left\{ \begin{gathered} c = 0,A_{0} = A_{0} ,A_{1} = A_{1} ,A_{2} = A_{2} ,B_{0} = \frac{{A_{0} B_{2} }}{{A_{2} }},B_{1} = \frac{{A_{1} B_{2} }}{{A_{2} }},B_{2} = B_{2} ,M_{0} = \frac{{\beta_{4} B_{2} }}{{A_{2} \beta_{3} }},M_{1} = 0,\beta_{1} = 0, \hfill \\ \beta_{2} = - \frac{{\beta_{4} B_{2} }}{{A_{2} }},\beta_{4} = \beta_{4} ,\beta_{6} = \beta_{6} \hfill \\ \end{gathered} \right\}$$(21)
-
Set (9)
$$\left\{ \begin{gathered} c = c,A_{0} = A_{0} ,A_{1} = A_{1} ,A_{2} = A_{2} ,B_{0} = B_{0} ,B_{1} = B_{1} ,B_{2} = B_{2} ,M_{0} = 0,M_{1} = 0,\beta_{1} = 0, \hfill \\ \beta_{2} = 0,\beta_{4} = 0,\beta_{6} = \beta_{6} \hfill \\ \end{gathered} \right\}$$(22)
In view of set [1], Eq. (13) yields
Substituting Eqs. (23) in Eqs. (9–12), we have.
Case (1) If \(\Lambda = \beta^{2} + 4\alpha - 4\alpha \delta \ge 0\) and \(\beta \ne 0\) (Fig. 1), then
Case (2) If \(\Lambda = \beta^{2} + 4\alpha - 4\alpha \delta < 0\) and \(\beta \ne 0\) (Fig. 2), then
Case (3) If \(\Lambda = \alpha \left( {1 - \delta } \right) \ge 0\) and \(\beta = 0\) (Fig. 3), then
where, \(\hbar = \sqrt { - 4\alpha \delta + 4\alpha }\).
Case (4) If \(\Lambda = \alpha \left( {1 - \delta } \right) < 0\) and \(\beta = 0\), then
where \(\zeta = c\frac{{t^{\nu } }}{\nu }\) and \(\alpha ,\beta ,\delta ,\delta_{1} ,\delta_{2}\) are real parameters. For simplicity, the sets [2,3,4,5,6,7,8,9] should be omitted here (Fig. 4).
4 Conclusions
In conclusion, we introduced a novel fractional model in biology, namely HIV-1 infection of CD4 + T cells. Here, an extended \(\left( {{{\Upsilon^{\prime}} \mathord{\left/ {\vphantom {{\Upsilon^{\prime}} \Upsilon }} \right. \kern-0pt} \Upsilon }} \right)\) method has been studied for constructing new exact traveling wave solutions such as exponential function, trigonometric function and hyperbolic function which are shown graphically in 2D plots to show the dynamical behavior of the proposed model for a different fractal order to see how unique our solutions are, as they are all fresh and different. Therefore, we came to the conclusion that the analytical findings presented here are both useful and fascinating. We want to propose a simple and trustworthy way to the research that will be conducted for the future of human beings.
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The authors are thankful to the Deanship of Scientific Research at University of Bisha for supporting this work through the Fast-Track Research Support Program.
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Abdou, M.A., Ouahid, L., Al Shahrani, J.S. et al. Novel analytical techniques for HIV-1 infection of CD4 + T cells on fractional order in mathematical biology. Indian J Phys 97, 2319–2325 (2023). https://doi.org/10.1007/s12648-022-02559-x
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DOI: https://doi.org/10.1007/s12648-022-02559-x