Global stability and optimal control of an HBV/HCV coinfection model with humoral immunity and cell-to-cell transmission

Raghad S. Alsulami , A. M. Elaiw , A. A. Alshareef , A. D. Hobiny

Networks and Heterogeneous Media ›› 2026, Vol. 21 ›› Issue (6) : 2108 -2179.

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Networks and Heterogeneous Media ›› 2026, Vol. 21 ›› Issue (6) :2108 -2179. DOI: 10.3934/nhm.2026080
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Global stability and optimal control of an HBV/HCV coinfection model with humoral immunity and cell-to-cell transmission
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Abstract

In this study, we investigate the dynamics of a within-host model of hepatitis B virus (HBV) and hepatitis C virus (HCV) coinfection with two distinct transmission pathways: virus-to-cell and cell-to-cell transmission. The model incorporates both HBV-specific and HCV-specific humoral immunity. Using the next-generation matrix method, we derive the basic reproduction numbers for HBV mono-infection ($\mathcal{R}_{0}^{B}$), HCV mono-infection ($\mathcal{R}_{0}^{C}$), and HBV/HCV coinfection ($\mathcal{R}_{0}$ = max{$\mathcal{R}_{0}^{B}$, $\mathcal{R}_{0}^{C}$}). We establish the fundamental qualitative properties of the model, identify eight possible equilibrium points, and investigate their global stability. The stability analysis is carried out using Lyapunov functions together with the Lyapunov–LaSalle invariance principle. The model is further formulated as a nonlinear control system, where anti-HBV and anti-HCV therapies serve as the control inputs. For each virus, two antiviral treatment strategies are considered: one that reduces virus-to-cell transmission and another that reduces cell-to-cell transmission. The results show that neglecting cell-to-cell transmission may underestimate the treatment effort required for viral clearance, highlighting the importance of incorporating this transmission pathway to obtain more realistic descriptions of within-host HBV/HCV dynamics. The optimal control problem is formulated to maximize the population of uninfected hepatocytes while minimizing treatment costs. Numerical simulations illustrate the theoretical results and demonstrate that the proposed control strategies can reduce viral infections and increase the population of uninfected hepatocytes under the considered parameter scenarios. Finally, sensitivity analysis of $\mathcal{R}_{0}^{B}$ and $\mathcal{R}_{0}^{C}$ identifies the parameters that have the greatest influence on the basic reproduction numbers, providing insights into the model mechanisms associated with viral persistence and clearance.

Keywords

hepatitis B virus / hepatitis C virus / global stability / Lyapunov function / optimal control

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Raghad S. Alsulami, A. M. Elaiw, A. A. Alshareef, A. D. Hobiny. Global stability and optimal control of an HBV/HCV coinfection model with humoral immunity and cell-to-cell transmission. Networks and Heterogeneous Media, 2026, 21 (6) : 2108-2179 DOI:10.3934/nhm.2026080

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References

[1]

World Health Organization, Global hepatitis report (2026), WHO. Available from: https://www.who.int/publications/i/item/9789240122383 (accessed on 1 July 2026).

[2]

World Health Organization, Global hepatitis report (2024): Action for access in low— and middle—income countries, WHO. Available from: https://www.who.int/publications/i/item/9789240091672 (accessed on 1 July 2026).

[3]

M. G. Mavilia, G. Y. Wu, HBV—HCV coinfection: Viral interactions, management, and viral reactivation, JCTH, 6(2018), 296-305. https://doi.org/10.14218/JCTH.2018.00016

[4]

Q. Maqsood, A. Sumrin, M. Iqbal, S. Younas, N. Hussain, M. Mahnoor, et al., Hepatitis C virus/hepatitis B virus coinfection: Current prospectives, Antivir. Ther., 28(2023), 1-18. https://doi.org/10.1177/13596535231189643

[5]

G. Raimondo, G. Cacciamo, C. Saitta, Hepatitis B virus and hepatitis C virus co—infection: Additive players in chronic liver disease? Ann. Hepatol., 4(2005), 100-106. https://doi.org/10.1016/S1665—2681(19)32072—1

[6]

Z. Liu, J. Hou, Hepatitis B virus (HBV) and hepatitis C virus (HCV) dual infection, Int. J. Med. Sci., 3(2006), 57-62. https://doi.org/10.7150/ijms.3.57

[7]

D. Konstantinou, M. Deutsch, The spectrum of HBV/HCV coinfection: Epidemiology, clinical characteristics, viralinteractions and management, Ann. Gastroenterol., 28(2015), 221-228. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC4367211/.

[8]

L. Pinky, G. Gonzalez—Parra, H. M. Dobrovolny, Superinfection and cell regeneration can lead to chronic viral coinfections, J. Theor. Biol., 466(2019), 24-38. https://doi.org/10.1016/j.jtbi.2019.01.011

[9]

A. M. Elaiw, N. H. AlShamrani, Analysis of a within—host HIV/HTLV—I co—infection model with immunity, Virus Res., 295(2021), 198204. https://doi.org/10.1016/j.virusres.2020.198204

[10]

R. Shi, Y. Zhang, Dynamic analysis and optimal control of a fractional order HIV/HTLV co—infection model with HIV—specific CTL immune response, AIMS Math., 9(2024), 9455-9493. https://doi.org/10.3934/math.2024462

[11]

A. M. Elaiw, G. Alsaadi, A. D. Hobiny, Global co—dynamics of viral infections with saturated incidence, AIMS Math., 9(2024), 13770-13818. https://doi.org/10.3934/math.2024671

[12]

H. Nampala, L. S. Luboobi, J. Y. Mugisha, C. Obua, M. Jablonska—Sabuka, Modelling hepatotoxicity and antiretroviral therapeutic effect in HIV/HBV co—infection, Math. Biosci., 302(2018), 67-79. https://doi.org/10.1016/j.mbs.2018.05.012

[13]

R. Shi, T. Lu, C. Wang, Dynamic analysis of a fractional—order model for HIV with drug—resistance and CTL immune response, Math. Comput. Simul., 188(2021), 509-536. https://doi.org/10.1016/j.matcom.2021.04.022

[14]

N. H. AlShamrani, A. M. Elaiw, Modeling within—host dynamics of two competing viruses with distinct target—cell populations, AIMS Math., 11(2026), 1489-1526. https://doi.org/10.3934/math.2026063

[15]

S. Hagiwara, N. Nishida, M. Kudo, Antiviral therapy for chronic hepatitis B: Combination of nucleoside analogs and interferon, World J. Hepatol., 7(2015), 2427-2431. https://doi.org/10.4254/wjh.v7.i23.2427

[16]

S. J. Hadziyannis, N. C. Tassopoulos, E. J. Heathcote, T. T. Chang, G. Kitis, M. Rizzetto, et al., Adefovir dipivoxil for the treatment of hepatitis B e antigen—negative chronic hepatitis B, N. Engl. J. Med., 348(2003), 800-807. https://www.nejm.org/doi/full/10.1056/NEJMoa021812

[17]

J. J. Feld, J. H. Hoofnagle, Mechanism of action of interferon and ribavirin in treatment of hepatitis C, Nature, 436(2005), 967-972. https://doi.org/10.1038/nature04082

[18]

C. L. Lai, M. F. Yuen, The natural history and treatment of chronic hepatitis B: A critical evaluation of standard treatment criteria and end points, Ann. Intern. Med., 147(2007), 58-61. https://doi.org/10.7326/0003—4819—147—1—200707030—00010

[19]

T. Khan, G. Zaman, M. I. Chohan, The transmission dynamic and optimal control of acute and chronic hepatitis B, J. Biol. Dyn., 11(2017), 172-189. https://doi.org/10.1080/17513758.2016.1256441

[20]

I. Zada, M. Naeem Jan, N. Ali, D. Alrowail, K. S. Nisar, G. Zaman, Mathematical analysis of hepatitis B epidemic model with optimal control, Adv. Differ. Equ., 2021 (2021), 451. https://doi.org/10.1186/s13662—021—03607—2

[21]

A. U. Neumann, N. P. Lam, H. Dahari, D. R. Gretch, T. E. Wiley, T. J. Layden, et al., Hepatitis C viral dynamics in vivo and the antiviral efficacy of interferon—α therapy, Science, 282(1998), 103-107. https://doi.org/10.1126/science.282.5386.103

[22]

A. N. Chatterjee, F. Al Basir, Y. Takeuchi, Effect of DAA therapy in hepatitis C treatment—an impulsive control approach, Math. Biosci. Eng., 18(2021), 1450-1464. http://dx.doi.org/10.3934/mbe.2021075

[23]

M. A. Nowak, S. Bonhoeffer, A. M. Hill, R. Boehme, H. C. Thomas, H. McDade, Viral dynamics in hepatitis B virus infection, Proc. Natl. Acad. Sci. U.S.A., 93(1996), 4398-4402. https://doi.org/10.1073/pnas.93.9.4398

[24]

M. A. Nowak, R. M. May, Virus Dynamics: Mathematical Principles of Immunology and Virology, Oxford University Press, UK, 2000. https://doi.org/10.1093/oso/9780198504184.001.0001

[25]

A. Murase, T. Sasaki, T. Kajiwara, Stability analysis of pathogen—immune interaction dynamics, J. Math. Biol., 51(2005), 247-267. https://doi.org/10.1007/s00285—005—0321—y

[26]

S. Wang, D. Zou, Global stability of in—host viral models with humoral immunity and intracellular delays, Appl. Math. Model., 36(2012), 1313-1322. https://doi.org/10.1016/j.apm.2011.07.086

[27]

C. Tadmon, S. Foko, A. D. Rendall, Global stability analysis of a delay cell—population model of hepatitis B infection with humoral immune response, Dyn. Syst., 36(2021), 537-559. https://doi.org/10.1080/14689367.2021.1940868

[28]

J. Danane, K. Allali, Z. Hammouch, Mathematical analysis of a fractional differential model of HBV infection with antibody immune response, Chaos, Solitons Fractals, 136(2020), 109787. https://doi.org/10.1016/j.chaos.2020.109787

[29]

S. Foko, C. Tadmon, Consistent discrete global dynamics of a general initial boundary value problem for hepatitis B virus infection with capsids and adaptive immunity, J. Differ. Equ. Appl., 28(2022), 777-852. https://doi.org/10.1080/10236198.2022.2082873

[30]

S. Foko, Dynamical analysis of a general delayed HBV infection model with capsids and adaptive immune response in presence of exposed infected hepatocytes, J. Math. Biol., 88(2024), 75. https://doi.org/10.1007/s00285—024—02096—7

[31]

N. Martin, Q. Sattentau, Cell—to—cell HIV—1 spread and its implications for immune evasion, Curr. Opin. HIV AIDS, 4(2009), 143-149. https://doi.org/10.1097/COH.0b013e328322f94a

[32]

Q. Sattentau, Avoiding the void: Cell—to—cell spread of human viruses, Nat. Rev. Microbiol., 6(2008), 815-826. https://doi.org/10.1038/nrmicro1972

[33]

N. L. Galloway, G. Doitsh, K. M. Monroe, Z. Yang, I. Muñoz—Arias, D. N. Levy, et al., Cell—to—cell transmission of HIV—1 is required to trigger pyroptotic death of lymphoid—tissue—derived CD4 T cells, Cell Rep., 12(2015), 1555-1563. https://doi.org/10.1016/j.celrep.2015.08.011

[34]

W. Hübner, G. P. McNerney, P. Chen, B. M. Dale, R. E. Gordan, F. Y. S. Chuang, et al., Quantitative 3D video microscopy of HIV transfer across T cell virological synapses, Science, 323(2009), 1743-1747. https://doi.org/10.1126/science.1167525

[35]

K. Hattaf, N. Yousfi, Qualitative analysis of a generalized virus dynamics model with both modes of transmission and distributed delays, Int. J. Differ. Equ., 2018 (2018), 9818372. https://doi.org/10.1155/2018/9818372

[36]

H. Shu, Y. Chen, L. Wang, Impacts of the cell—free and cell—to—cell infection modes on viral dynamics, J. Dyn. Differ. Equ., 30(2018), 1817-1836. https://doi.org/10.1007/s10884—017—9622—2

[37]

X. Wang, Y. Tan, Y. Cai, K. Wang, W. Wang, Dynamics of a stochastic HBV infection model with cell—to—cell transmission and immune response, Math. Biosci. Eng., 18(2021), 616-642. http://dx.doi.org/10.3934/mbe.2021034

[38]

F. Mirza, Z. A. Alhussain, J. Feng, A. Din, The impact of Lévy jumps on the dynamics of an HBV model with immune interaction and intracellular transmission pathways, AIMS Math., 11(2026), 21036-21068. https://doi.org/10.3934/math.2026854

[39]

H. Dahari, A. Lo, R. M. Ribeiro, A. S. Perelson, Modeling hepatitis C virus dynamics: Liver regeneration and critical drug efficacy, J. Theor. Biol., 247(2007), 371-381. https://doi.org/10.1016/j.jtbi.2007.03.006

[40]

T. C. Reluga, H. Dahari, A. S. Perelson, Analysis of hepatitis C virus infection models with hepatocyte homeostasis, SIAM J. Appl. Math., 69(2009), 999-1023. https://doi.org/10.1137/080714579

[41]

D. Wodarz, Hepatitis C virus dynamics and pathology: The role of CTL and antibody responses, J. Gen. Virol., 84(2003), 1743-1750. https://doi.org/10.1099/vir.0.19118—0

[42]

N. Yousfi, K. Hattaf, M. Rachik, Analysis of a HCV model with CTL and antibody responses, Appl. Math. Sci., 3(2009), 2835-2846. Available from: https://www.m—hikari.com/ams/ams—password—2009/ams—password57—60—2009/hattafAMS57—60—2009.pdf.

[43]

A. Meskaf, Y. Tabit, K. Allali, Global analysis of a HCV model with CTL, antibody responses and therapy, Appl. Math. Sci., 9(2015), 3997-4008. http://doi.org/10.12988/ams.2015.54334

[44]

A. Mojaver, H. Kheiri, Dynamical analysis of a class of hepatitis C virus infection models with application of optimal control, Int. J. Biomath., 9(2016), 1650038. https://doi.org/10.1142/S1793524516500388

[45]

J. M. Timpe, Z. Stamataki, A. Jennings, K. Hu, M. J. Farquhar, H. J. Harris, et al., Hepatitis C virus cell—cell transmission in hepatoma cells in the presence of neutralizing antibodies, Hepatology, 47(2008), 17-24. https://doi.org/10.1002/hep.21959

[46]

F. Xiao, I. Fofana, L. Heydmann, H. Barth, E. Soulier, F. Habersetzer, et al., Hepatitis C virus cell—cell transmission and resistance to direct—acting antiviral agents, PLoS Pathog., 10(2014), e1004128. https://doi.org/10.1371/journal.ppat.1004128

[47]

M. Sadki, J. Danane, K. Allali, Hepatitis C virus fractional—order model: Mathematical analysis, Model. Earth Syst. Environ., 9(2023), 1695-1707. https://doi.org/10.1007/s40808—022—01582—5

[48]

X. Wang, X. Meng, L. Rong, Global dynamics of a multiscale model for hepatitis C virus infection, Appl. Math. Lett., 149(2024), 108904. https://doi.org/10.1016/j.aml.2023.108904

[49]

M. Sadki, S. Harroudi, K. Allali, Local and global stability of an HCV viral dynamics model with two routes of infection and adaptive immunity, Comput. Meth. Biomech. Biomed. Engin., 27(2024), 1510-1537. https://doi.org/10.1080/10255842.2023.2245941

[50]

P. Yosyingyong, R. Viriyapong, Global dynamics of multiple delays within—host model for a hepatitis B virus infection of hepatocytes with immune response and drug therapy, Math. Biosci. Eng., 20(2023), 7349-7386. https://doi.org/10.3934/mbe.2023319

[51]

N. H. Shah, N. Sheoran, E. Jayswal, Mathematical model of HBV/HCV co—infection, Discontinuity Nonlinearity Complex., 10(2021), 409-424.

[52]

H. Alrabaiah, M. U. Rahman, I. Mahariq, S. Bushnaq, M. Arfan, Fractional order analysis of HBV and HCV co—infection under ABC derivative, Fractals, 30(2022), 2240036. https://doi.org/10.1142/S0218348X22400369

[53]

A. M. Elaiw, A. D. Al Agha, G. Alsaadi, A. D. Hobiny, Global analysis of HCV/HBV codynamics model with antibody immunity, Eur. Phys. J. Plus, 139(2024), 850. https://doi.org/10.1140/epjp/s13360—024—05604—2

[54]

A. M. Elaiw, G. S. Alsaadi, A. A. Raezah, A. D. Hobiny, Co—dynamics of hepatitis B and C viruses under the influence of CTL immunity, Alex. Eng. J., 119(2025), 285-325. https://doi.org/10.1016/j.aej.2025.01.029

[55]

S. Jamma, G. Hussain, D. T. Y. Lau, Current concepts of HBV/HCV coinfection: Coexistence, but not necessarily in harmony, Curr. Hepatitis Rep., 9(2010), 260-269. https://doi.org/10.1007/s11901—010—0060—4

[56]

K. Zhang, X. Lai, J. Song, L. He, L. Wang, G. Ou, et al., A novel cell culture model reveals the viral interference during hepatitis B and C virus coinfection, Antiviral Res., 189(2021), 105061. https://doi.org/10.1016/j.antiviral.2021.105061

[57]

M. B. Zeisel, S. Fafi—Kremer, I. Fofana, H. Barth, F. Stoll—Keller, M. Dofföel, et al., Neutralizing antibodies in hepatitis C virus infection, World J. Gastroenterol., 13(2007), 4824-4830. https://doi.org/10.3748/wjg.v13.i36.4824

[58]

V. C. Edwards, A. W. Tarr, R. A. Urbanowicz, J. K. Ball, The role of neutralizing antibodies in hepatitis C virus infection, J. Gen. Virol., 93(2012), 1-19. https://doi.org/10.1099/vir.0.035956—0

[59]

L. Kong, E. Giang, J. B. Robbins, R. L. Stanfield, D. R. Burton, I. A. Wilson, et al., Structural basis of hepatitis C virus neutralization by broadly neutralizing antibody HCV1, Proc. Natl. Acad. Sci. U.S.A., 109(2012), 9499-9504. https://doi.org/10.1073/pnas.1202924109

[60]

H. L. Smith, P. Waltman, The Theory of the Chemostat: Dynamics of Microbial Competition, Cambridge University Press: Cambridge, UK, 1995.

[61]

A. Korobeinikov, Global properties of basic virus dynamics models, Bull. Math. Biol., 66(2004), 879-883. https://doi.org/10.1016/j.bulm.2004.02.001

[62]

H. K. Khalil, Nonlinear Systems, 3rd Edition, Prentice Hall, Upper Saddle River, 2002.

[63]

J. K. Hale, S. V. Lunel, Introduction to Functional Differential Equations, Springer—Verlag, 2(1993), 187-200.

[64]

Z. Liu, J. J. He, Cell—cell contact—mediated hepatitis C virus (HCV) transfer, productive infection, and replication and their requirement for HCV receptors, J. Virol., 87(2013), 8545-8558. https://doi.org/10.1128/jvi.01062—13

[65]

A. Goyal, J. M. Murray, Modelling the impact of cell—to—cell transmission in hepatitis B virus, PLoS One, 11(2016), e0161978. https://doi.org/10.1371/journal.pone.0161978

[66]

L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, E. F. Mishchenko, The Mathematical Theory of Optimal Processes, Wiley, New York, 1962.

[67]

W. H. Fleming, R. W. Rishel, Deterministic and Stochastic Optimal Control, Springer—Verlag, New York, 1975.

[68]

D. Wodarz, Mathematical models of immune effector responses to viral infections: Virus control versus the development of pathology, J. Comput. Appl. Math., 184(2005), 301-319. https://doi.org/10.1016/j.cam.2004.08.016

[69]

N. Yousfi, K. Hattaf, A. Tridane, Modeling the adaptive immune response in HBV infection, J. Math. Biol., 63(2011), 933-957. https://doi.org/10.1007/s00285—010—0397—x

[70]

G. J. Webster, S. Reignat, M. K. Maini, S. A. Whalley, G. S. Ogg, A. King, et al., Incubation phase of acute hepatitis B in man: Dynamic of cellular immune mechanisms, Hepatology, 32(2000), 1117-1124. https://doi.org/10.1053/jhep.2000.19324

[71]

S. A. Gourley, Y. Kuang, J. D. Nagy, Dynamics of a delay differential equation model of hepatitis B virus infection, J. Biol. Dyn., 2(2008), 140-153. https://doi.org/10.1080/17513750701769873

[72]

R. Sutradhar, G. Sadhu, D. C. Dalal, Multi—point infection dynamics of hepatitis B in the presence of sub—viral particles, Bull. Math. Biol., 88(2026), 7. https://doi.org/10.1007/s11538—025—01572—5

[73]

X. Wang, H. Zhao, L. Wang, Dynamics of an age—structured multiscale hepatitis C virus model with two infection modes and antibody immune response, Math. Methods Appl. Sci., 48(2025), 2693-2725. https://doi.org/10.1002/mma.10352

[74]

N. M. Dixit, J. E. Layden—Almer, T. J. Layden, A. S. Perelson, Modelling how ribavirin improves interferon response rates in hepatitis C virus infection, Nature, 432(2004), 922-924. https://doi.org/10.1038/nature03153

[75]

H. A. Elkaranshawy, H. M. Ezzat, N. N. Ibrahim, Lyapunov function and global asymptotic stability for a new multiscale viral dynamics model incorporating the immune system response: Implemented upon HCV, PloS One, 16(2021), e0257975. https://doi.org/10.1371/journal.pone.0257975

[76]

S. Foko, S. A. Mohammadi, Complex dynamics in a delayed diffusive cell population model of hepatitis b with capsids, mitotic transmission, and non—cytopathic antiviral mechanisms, Discrete Contin. Dyn. Syst. Ser. B, 31(2026), 94-145. https://doi.org/10.3934/dcdsb.2025104

[77]

K. Manna, Global properties of a HBV infection model with HBV DNA—containing capsids and CTL immune response, Int. J. Appl. Comput. Math., 3(2017), 2323-2338. https://doi.org/10.1007/s40819—016—0205—4

[78]

M. Tsiang, J. F. Rooney, J. J. Toole, C. S. Gibbs, Biphasic clearance kinetics of hepatitis B virus from patients during adefovir dipivoxil therapy, Hepatology, 29(1999), 1863-1869. https://doi.org/10.1002/hep.510290626

[79]

P. Yosyingyong, R. Viriyapong, Global stability and optimal control for a hepatitis B virus infection model with immune response and drug therapy, J. Appl. Math. Comput., 60(2019), 537-565. https://doi.org/10.1007/s12190—018—01226—x

[80]

A. Meskaf, K. Allali, Y. Tabit, Optimal control of a delayed hepatitis B viral infection model with cytotoxic T—lymphocyte and antibody responses, Int. J. Dyn. Control, 5(2017), 893-902. https://doi.org/10.1007/s40435—016—0231—4

[81]

S. Pan, S. P. Chakrabarty, Stochastic analysis of in—host HCV dynamics through budding and bursting process, Commun. Nonlinear Sci. Numer. Simul., 80(2020), 104955. https://doi.org/10.1016/j.cnsns.2019.104955

[82]

J. Reyes—Silveyra, A. R. Mikler, Modeling immune response and its effect on infectious disease outbreak dynamics, Theor. Biol. Med. Model., 13(2016), 10. https://doi.org/10.1186/s12976—016—0033—6

[83]

S. Lenhart, J. T. Workman, Optimal Control Applied to Biological Models, Chapman & Hall/CRC, 2007.

[84]

K. Hattaf, M. Rachik, S. Saadi, N. Yousfi, Optimal control of treatment in a basic virus infection model, Appl. Math. Sci., 3(2009), 949-958.

[85]

S. Marino, I. B. Hogue, C. J. Ray, D. E. Kirschner, A methodology for performing global uncertainty and sensitivity analysis in systems biology, J. Theor. Biol., 254(2008), 178-196. https://doi.org/10.1016/j.jtbi.2008.04.011

[86]

P. Van den Driessche, J. Watmough, Reproduction numbers and sub—threshold endemic equilibria for compartmental models of disease transmission, Math. Biosci., 180(2002), 29-48. https://doi.org/10.1016/S0025—5564(02)00108—6

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