Research Article
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Year 2026, Volume: 8 Issue: 1, 36 - 55, 28.03.2026
https://doi.org/10.51537/chaos.1740622
https://izlik.org/JA82XX94FP

Abstract

Ethical Statement

Not Applicable

Supporting Institution

Not Applicable

Project Number

Not Applicable

Thanks

Not Applicable

References

  • Adepoju, O. and H. Ibrahim, 2024 An optimal control model for monkeypox transmission dynamics with vaccination and immunity loss following recovery. Healthcare Analytics 6: 100355.
  • Ahmad, Y. U., J. Andrawus, A. Ado, Y. A. Maigoro, A. Yusuf, et al., 2024 Mathematical modeling and analysis of human-to-human monkeypox virus transmission with post-exposure vaccination. Modeling Earth Systems and Environment 10: 2711–2731.
  • Al-Shomrani, M. M., S. S. Musa, and A. Yusuf, 2023 Unfolding the transmission dynamics of monkeypox virus: an epidemiological modelling analysis. Mathematics 11: 1121.
  • Alharbi, R., R. Jan, S. Alyobi, Y. Altayeb, and Z. Khan, 2022 Mathematical modeling and stability analysis of the dynamics of monkeypox via fractional-calculus. Fractals 30: 2240266.
  • Aly, E. S., M. Singh, M. A. Aiyashi, and M. D. Albalwi, 2024 Modeling monkeypox virus transmission: Stability analysis and comparison of analytical techniques. Open Physics 22: 20240056.
  • Araf, Y., J. F. Nipa, S. Naher, S. T. Maliha, H. Rahman, et al., 2024 Insights into the transmission, host range, genomics, vaccination, and current epidemiology of the monkeypox virus. Veterinary Medicine International 2024: 8839830.
  • Banuet-Martinez, M., Y. Yang, B. Jafari, A. Kaur, Z. A. Butt, et al., 2023 Monkeypox: a review of epidemiological modelling studies and how modelling has led to mechanistic insight. Epidemiology & Infection 151: e121.
  • Boubaker, O., 2024 Chaos in physiological control systems: Health or disease? Chaos Theory and Applications 6: 1–12.
  • Branda, F., C. Romano, M. Ciccozzi, M. Giovanetti, F. Scarpa, et al., 2024 Mpox: an overview of pathogenesis, diagnosis, and public health implications. Journal of Clinical Medicine 13: 2234.
  • Castillo-Chavez, C. and B. Song, 2004 Dynamical models of tuberculosis and their applications. Mathematical biosciences and engineering 1: 361.
  • El Mansouri, A., I. Smouni, B. Khajji, A. Labzai, and M. Belam, 2023 Mathematical modeling and optimal control strategy for the monkeypox epidemic. Math Model Comput 10: 944–955.
  • Elsonbaty, A., W. Adel, A. Aldurayhim, and A. El-Mesady, 2024 Mathematical modeling and analysis of a novel monkeypox virus spread integrating imperfect vaccination and nonlinear incidence rates. Ain Shams Engineering Journal 15: 102451.
  • Fleming,W. H. and R.W. Rishel, 2012 Deterministic and stochastic optimal control. Springer Science & Business Media.
  • Gumel, A. B., 2012 Causes of backward bifurcations in some epidemiological models. Journal of Mathematical Analysis and Applications 395: 355–365.
  • Gumel, A. B., J. M.-S. Lubuma, O. Sharomi, and Y. A. Terefe, 2018 Mathematics of a sex-structured model for syphilis transmission dynamics. Mathematical Methods in the Applied Sciences 41: 8488–8513.
  • Islam, M. A., J. Mumin, M. M. Haque, M. A. Haque, A. Khan, et al., 2023 Monkeypox virus (mpxv): A brief account of global spread, epidemiology, virology, clinical features, pathogenesis, and therapeutic interventions. Infectious medicine 2: 262–272.
  • Jose, S. A., R. Raja, J. Alzabut, G. Rajchakit, J. Cao, et al., 2022 Mathematical modeling on transmission and optimal control strategies of corruption dynamics. Nonlinear Dynamics 109: 3169–3187.
  • Jose, S. A., R. Raja, J. Dianavinnarasi, D. Baleanu, and A. Jirawattanapanit, 2023a Mathematical modeling of chickenpox in phuket: Efficacy of precautionary measures and bifurcation analysis. Biomedical Signal Processing and Control 84: 104714.
  • Jose, S. A., R. Raja, B. Omede, R. P. Agarwal, J. Alzabut, et al., 2023b Mathematical modeling on co-infection: transmission dynamics of zika virus and dengue fever. Nonlinear Dynamics 111: 4879– 4914.
  • Kaler, J., A. Hussain, G. Flores, S. Kheiri, and D. Desrosiers, 2022 Monkeypox: a comprehensive review of transmission, pathogenesis, and manifestation. Cureus 14.
  • Kang, T.-L., H.-F. Huo, and H. Xiang, 2024 Dynamics and optimal control of tuberculosis model with the combined effects of vaccination, treatment and contaminated environments. Mathematical Biosciences and Engineering 21: 5308–5334.
  • Kumar, N., A. Acharya, H. E. Gendelman, and S. N. Byrareddy, 2022 The 2022 outbreak and the pathobiology of the monkeypox virus. Journal of autoimmunity 131: 102855.
  • Larkin, M., 2003 Monkeypox spreads as us public-health system plays catch-up. The Lancet Infectious Diseases 3: 461.
  • Lenhart, S. and J. T.Workman, 2007 Optimal control applied to biological models. Chapman and Hall/CRC.
  • Lum, F.-M., A. Torres-Ruesta, M. Z. Tay, R. T. Lin, D. C. Lye, et al., 2022 Monkeypox: disease epidemiology, host immunity and clinical interventions. Nature Reviews Immunology 22: 597–613.
  • Mitjà, O., D. Ogoina, B. K. Titanji, C. Galvan, J.-J. Muyembe, et al., 2023 Monkeypox. The Lancet 401: 60–74.
  • Oguntolu, F. A., O. J. Peter, B. I. Omede, G. B. Balogun, and T. A. Ayoola, 2025 Mathematical model on the transmission dynamics of leptospirosis in human and animal population with optimal control strategies using real statistical data. Quality & Quantity 59: 1405–1444.
  • Okongo, W., J. A. Okelo, D. K. Gathungu, S. E. Moore, and S. A. Nnaemeka, 2024 Transmission dynamics of monkeypox virus with age-structured human population: A mathematical modeling approach. Journal of Applied Mathematics 2024: 9173910.
  • Omame, A., M. Abbas, and C. P. Onyenegecha, 2022 Backward bifurcation and optimal control in a co-infection model for sarscov- 2 and zikv. Results in Physics 37: 105481.
  • Omame, A., N. Sene, I. Nometa, C. I. Nwakanma, E. U. Nwafor, et al., 2021 Analysis of covid-19 and comorbidity co-infection model with optimal control. Optimal Control Applications and Methods 42: 1568–1590.
  • Omede, B., U. Odionyenma, A. Ibrahim, and B. Bolaji, 2023a Third wave of covid-19: mathematical model with optimal control strategy for reducing the disease burden in nigeria. International Journal of Dynamics and control 11: 411–427.
  • Omede, B. I., B. Bolaji, O. J. Peter, A. A. Ibrahim, and F. A. Oguntolu, 2024a Mathematical analysis on the vertical and horizontal transmission dynamics of hiv and zika virus co-infection. Franklin Open 6: 100064.
  • Omede, B. I., S. A. Jose, J. Anuwat, and T. Park, 2024b Mathematical analysis on the transmission dynamics of delta and omicron variants of covid-19 in the united states. Modeling Earth Systems and Environment pp. 1–38.
  • Omede, B. I., S. A. Jose, and O. Boubaker, 2026 Modeling Mpox Transmission Dynamics. Academic Press.
  • Omede, B. I., O. J. Peter, W. Atokolo, B. Bolaji, and T. A. Ayoola, 2023b A mathematical analysis of the two-strain tuberculosis model dynamics with exogenous re-infection. Healthcare Analytics 4: 100266.
  • Organization, W. H. et al., 2022 Who recommends new name for monkeypox disease.
  • Peter, O. J., C. E. Madubueze, M. M. Ojo, F. A. Oguntolu, and T. A. Ayoola, 2023 Modeling and optimal control of monkeypox with cost-effective strategies. Modeling Earth Systems and Environment 9: 1989–2007.
  • Peter, O. J., F. A. Oguntolu, M. M. Ojo, A. Olayinka Oyeniyi, R. Jan, et al., 2022 Fractional order mathematical model of monkeypox transmission dynamics. Physica Scripta 97: 084005.
  • Pontryagin, L. S., 2018 Mathematical theory of optimal processes. Routledge. Qureshi, M., S. Khan, R. A. Bantan, M. Daniyal, M. Elgarhy, et al., 2022 Modeling and forecasting monkeypox cases using stochastic models. Journal of Clinical Medicine 11: 6555.
  • Reed, K. D., J.W. Melski, M. B. Graham, R. L. Regnery, M. J. Sotir, et al., 2004 The detection of monkeypox in humans in the western hemisphere. New England Journal of Medicine 350: 342–350.
  • Schwartz, D. A., P. Mbala-Kingebeni, K. Patterson, J. W. Huggins, and P. R. Pittman, 2023 Congenital mpox syndrome (clade i) in stillborn fetus after placental infection and intrauterine transmission, democratic republic of the congo, 2008. Emerging Infectious Diseases 29: 2198.
  • Statista, 2025a Birth rate in nigeria from 2012 to 2022. Accessed: 2025-09-20.
  • Statista, 2025b Death rate in nigeria from 2012 to 2022. Accessed: 2025-09-20.
  • Stephenson, J., 2003 Monkeypox outbreak a reminder of emerging infections vulnerabilities. Jama 290: 23–24.
  • Subissi, L., P. Stefanelli, and G. Rezza, 2024 Human mpox: global trends, molecular epidemiology and options for vaccination. Pathogens and global health 118: 25–32.
  • Sun, Y., W. Nie, D. Tian, and Q. Ye, 2024 Human monkeypox virus: Epidemiologic review and research progress in diagnosis and treatment. Journal of Clinical Virology 171: 105662.
  • Sweilam, N., Z. Mohammed, andW. A. Kareem, 2024 Numerical approaches for solving complex order monkeypox mathematical model. Alexandria Engineering Journal 90: 170–182.
  • Thornhill, J. P., S. Barkati, S. Walmsley, J. Rockstroh, A. Antinori, et al., 2022 Monkeypox virus infection in humans across 16 countries—april–june 2022. New England Journal of Medicine 387: 679–691.
  • Van den Driessche, P. and J.Watmough, 2002 Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Mathematical biosciences 180: 29–48.
  • Wiraya, A., Y. A. Adi, L. Fitriana, T. Triyanto, Y. A. Kusumadewi, et al., 2024 Birth of catastrophe and strange attractors through generalized hopf bifurcations in covid-19 transmission mathematical model. Chaos Theory and Applications 6: 159–169.
  • Yılmaz, E. and E.Aydıner, 2024 Chaotic and quasi-periodic regimes in the covid-19 mortality data. Chaos Theory and Applications 6: 41–50.

Stability and Bifurcation Analysis of Mpox Transmission Model

Year 2026, Volume: 8 Issue: 1, 36 - 55, 28.03.2026
https://doi.org/10.51537/chaos.1740622
https://izlik.org/JA82XX94FP

Abstract

In this study, we conducted a thorough and in-depth investigation into the existence and stability of the boundary equilibria of a deterministic mathematical model for mpox transmission to gain a deeper understanding of the disease dynamics. The investigation begins with the identification and analysis of the mpox boundary equilibria, which include the rodent-only boundary equilibrium, the human-only boundary equilibrium, and the co-existence of the rodent and human boundary equilibria. Using centre manifold analysis, it was demonstrated that both the rodent equilibrium and the human equilibrium exhibit backward bifurcation when the basic reproduction number of the mpox transmission model is less than unity. This backward bifurcation phenomenon complicates the control and eradication of mpox in both rodent and human populations, even when the basic reproduction number is below one. To evaluate the robustness of the model results, uncertainty and sensitivity analyses were performed using Latin Hypercube Sampling and Partial Rank Correlation Coefficient methods. The results indicate that the basic reproduction number is most sensitive to the human-to-human and rodent-to-rodent transmission rates, as well as the proportion of quarantined humans who progress to active infection, while increases in the treatment rate of infected humans and the rodent death rate significantly reduce the transmission potential of mpox. Additionally, to underscore the importance of community education, public awareness, and enlightenment campaigns in curbing the spread of mpox, we introduced two time-dependent control measures to the mpox model, namely, precautionary actions taken by susceptible individuals to hinder the spread of Mpox (these actions include regular hand washing, wearing hand gloves when handling rodents, and avoiding direct contact with the open sores of infected humans), and the use of disinfectants (in washing of clothes and cleaning of surfaces) and proper sanitation practices to increase the decay rate of the mpox virus in the environment. Our numerical simulations indicate that each control measure is effective in reducing the spread of mpox. However, the combined implementation of both control measures proves to be particularly effective in significantly reducing the prevalence of the disease.

Project Number

Not Applicable

References

  • Adepoju, O. and H. Ibrahim, 2024 An optimal control model for monkeypox transmission dynamics with vaccination and immunity loss following recovery. Healthcare Analytics 6: 100355.
  • Ahmad, Y. U., J. Andrawus, A. Ado, Y. A. Maigoro, A. Yusuf, et al., 2024 Mathematical modeling and analysis of human-to-human monkeypox virus transmission with post-exposure vaccination. Modeling Earth Systems and Environment 10: 2711–2731.
  • Al-Shomrani, M. M., S. S. Musa, and A. Yusuf, 2023 Unfolding the transmission dynamics of monkeypox virus: an epidemiological modelling analysis. Mathematics 11: 1121.
  • Alharbi, R., R. Jan, S. Alyobi, Y. Altayeb, and Z. Khan, 2022 Mathematical modeling and stability analysis of the dynamics of monkeypox via fractional-calculus. Fractals 30: 2240266.
  • Aly, E. S., M. Singh, M. A. Aiyashi, and M. D. Albalwi, 2024 Modeling monkeypox virus transmission: Stability analysis and comparison of analytical techniques. Open Physics 22: 20240056.
  • Araf, Y., J. F. Nipa, S. Naher, S. T. Maliha, H. Rahman, et al., 2024 Insights into the transmission, host range, genomics, vaccination, and current epidemiology of the monkeypox virus. Veterinary Medicine International 2024: 8839830.
  • Banuet-Martinez, M., Y. Yang, B. Jafari, A. Kaur, Z. A. Butt, et al., 2023 Monkeypox: a review of epidemiological modelling studies and how modelling has led to mechanistic insight. Epidemiology & Infection 151: e121.
  • Boubaker, O., 2024 Chaos in physiological control systems: Health or disease? Chaos Theory and Applications 6: 1–12.
  • Branda, F., C. Romano, M. Ciccozzi, M. Giovanetti, F. Scarpa, et al., 2024 Mpox: an overview of pathogenesis, diagnosis, and public health implications. Journal of Clinical Medicine 13: 2234.
  • Castillo-Chavez, C. and B. Song, 2004 Dynamical models of tuberculosis and their applications. Mathematical biosciences and engineering 1: 361.
  • El Mansouri, A., I. Smouni, B. Khajji, A. Labzai, and M. Belam, 2023 Mathematical modeling and optimal control strategy for the monkeypox epidemic. Math Model Comput 10: 944–955.
  • Elsonbaty, A., W. Adel, A. Aldurayhim, and A. El-Mesady, 2024 Mathematical modeling and analysis of a novel monkeypox virus spread integrating imperfect vaccination and nonlinear incidence rates. Ain Shams Engineering Journal 15: 102451.
  • Fleming,W. H. and R.W. Rishel, 2012 Deterministic and stochastic optimal control. Springer Science & Business Media.
  • Gumel, A. B., 2012 Causes of backward bifurcations in some epidemiological models. Journal of Mathematical Analysis and Applications 395: 355–365.
  • Gumel, A. B., J. M.-S. Lubuma, O. Sharomi, and Y. A. Terefe, 2018 Mathematics of a sex-structured model for syphilis transmission dynamics. Mathematical Methods in the Applied Sciences 41: 8488–8513.
  • Islam, M. A., J. Mumin, M. M. Haque, M. A. Haque, A. Khan, et al., 2023 Monkeypox virus (mpxv): A brief account of global spread, epidemiology, virology, clinical features, pathogenesis, and therapeutic interventions. Infectious medicine 2: 262–272.
  • Jose, S. A., R. Raja, J. Alzabut, G. Rajchakit, J. Cao, et al., 2022 Mathematical modeling on transmission and optimal control strategies of corruption dynamics. Nonlinear Dynamics 109: 3169–3187.
  • Jose, S. A., R. Raja, J. Dianavinnarasi, D. Baleanu, and A. Jirawattanapanit, 2023a Mathematical modeling of chickenpox in phuket: Efficacy of precautionary measures and bifurcation analysis. Biomedical Signal Processing and Control 84: 104714.
  • Jose, S. A., R. Raja, B. Omede, R. P. Agarwal, J. Alzabut, et al., 2023b Mathematical modeling on co-infection: transmission dynamics of zika virus and dengue fever. Nonlinear Dynamics 111: 4879– 4914.
  • Kaler, J., A. Hussain, G. Flores, S. Kheiri, and D. Desrosiers, 2022 Monkeypox: a comprehensive review of transmission, pathogenesis, and manifestation. Cureus 14.
  • Kang, T.-L., H.-F. Huo, and H. Xiang, 2024 Dynamics and optimal control of tuberculosis model with the combined effects of vaccination, treatment and contaminated environments. Mathematical Biosciences and Engineering 21: 5308–5334.
  • Kumar, N., A. Acharya, H. E. Gendelman, and S. N. Byrareddy, 2022 The 2022 outbreak and the pathobiology of the monkeypox virus. Journal of autoimmunity 131: 102855.
  • Larkin, M., 2003 Monkeypox spreads as us public-health system plays catch-up. The Lancet Infectious Diseases 3: 461.
  • Lenhart, S. and J. T.Workman, 2007 Optimal control applied to biological models. Chapman and Hall/CRC.
  • Lum, F.-M., A. Torres-Ruesta, M. Z. Tay, R. T. Lin, D. C. Lye, et al., 2022 Monkeypox: disease epidemiology, host immunity and clinical interventions. Nature Reviews Immunology 22: 597–613.
  • Mitjà, O., D. Ogoina, B. K. Titanji, C. Galvan, J.-J. Muyembe, et al., 2023 Monkeypox. The Lancet 401: 60–74.
  • Oguntolu, F. A., O. J. Peter, B. I. Omede, G. B. Balogun, and T. A. Ayoola, 2025 Mathematical model on the transmission dynamics of leptospirosis in human and animal population with optimal control strategies using real statistical data. Quality & Quantity 59: 1405–1444.
  • Okongo, W., J. A. Okelo, D. K. Gathungu, S. E. Moore, and S. A. Nnaemeka, 2024 Transmission dynamics of monkeypox virus with age-structured human population: A mathematical modeling approach. Journal of Applied Mathematics 2024: 9173910.
  • Omame, A., M. Abbas, and C. P. Onyenegecha, 2022 Backward bifurcation and optimal control in a co-infection model for sarscov- 2 and zikv. Results in Physics 37: 105481.
  • Omame, A., N. Sene, I. Nometa, C. I. Nwakanma, E. U. Nwafor, et al., 2021 Analysis of covid-19 and comorbidity co-infection model with optimal control. Optimal Control Applications and Methods 42: 1568–1590.
  • Omede, B., U. Odionyenma, A. Ibrahim, and B. Bolaji, 2023a Third wave of covid-19: mathematical model with optimal control strategy for reducing the disease burden in nigeria. International Journal of Dynamics and control 11: 411–427.
  • Omede, B. I., B. Bolaji, O. J. Peter, A. A. Ibrahim, and F. A. Oguntolu, 2024a Mathematical analysis on the vertical and horizontal transmission dynamics of hiv and zika virus co-infection. Franklin Open 6: 100064.
  • Omede, B. I., S. A. Jose, J. Anuwat, and T. Park, 2024b Mathematical analysis on the transmission dynamics of delta and omicron variants of covid-19 in the united states. Modeling Earth Systems and Environment pp. 1–38.
  • Omede, B. I., S. A. Jose, and O. Boubaker, 2026 Modeling Mpox Transmission Dynamics. Academic Press.
  • Omede, B. I., O. J. Peter, W. Atokolo, B. Bolaji, and T. A. Ayoola, 2023b A mathematical analysis of the two-strain tuberculosis model dynamics with exogenous re-infection. Healthcare Analytics 4: 100266.
  • Organization, W. H. et al., 2022 Who recommends new name for monkeypox disease.
  • Peter, O. J., C. E. Madubueze, M. M. Ojo, F. A. Oguntolu, and T. A. Ayoola, 2023 Modeling and optimal control of monkeypox with cost-effective strategies. Modeling Earth Systems and Environment 9: 1989–2007.
  • Peter, O. J., F. A. Oguntolu, M. M. Ojo, A. Olayinka Oyeniyi, R. Jan, et al., 2022 Fractional order mathematical model of monkeypox transmission dynamics. Physica Scripta 97: 084005.
  • Pontryagin, L. S., 2018 Mathematical theory of optimal processes. Routledge. Qureshi, M., S. Khan, R. A. Bantan, M. Daniyal, M. Elgarhy, et al., 2022 Modeling and forecasting monkeypox cases using stochastic models. Journal of Clinical Medicine 11: 6555.
  • Reed, K. D., J.W. Melski, M. B. Graham, R. L. Regnery, M. J. Sotir, et al., 2004 The detection of monkeypox in humans in the western hemisphere. New England Journal of Medicine 350: 342–350.
  • Schwartz, D. A., P. Mbala-Kingebeni, K. Patterson, J. W. Huggins, and P. R. Pittman, 2023 Congenital mpox syndrome (clade i) in stillborn fetus after placental infection and intrauterine transmission, democratic republic of the congo, 2008. Emerging Infectious Diseases 29: 2198.
  • Statista, 2025a Birth rate in nigeria from 2012 to 2022. Accessed: 2025-09-20.
  • Statista, 2025b Death rate in nigeria from 2012 to 2022. Accessed: 2025-09-20.
  • Stephenson, J., 2003 Monkeypox outbreak a reminder of emerging infections vulnerabilities. Jama 290: 23–24.
  • Subissi, L., P. Stefanelli, and G. Rezza, 2024 Human mpox: global trends, molecular epidemiology and options for vaccination. Pathogens and global health 118: 25–32.
  • Sun, Y., W. Nie, D. Tian, and Q. Ye, 2024 Human monkeypox virus: Epidemiologic review and research progress in diagnosis and treatment. Journal of Clinical Virology 171: 105662.
  • Sweilam, N., Z. Mohammed, andW. A. Kareem, 2024 Numerical approaches for solving complex order monkeypox mathematical model. Alexandria Engineering Journal 90: 170–182.
  • Thornhill, J. P., S. Barkati, S. Walmsley, J. Rockstroh, A. Antinori, et al., 2022 Monkeypox virus infection in humans across 16 countries—april–june 2022. New England Journal of Medicine 387: 679–691.
  • Van den Driessche, P. and J.Watmough, 2002 Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Mathematical biosciences 180: 29–48.
  • Wiraya, A., Y. A. Adi, L. Fitriana, T. Triyanto, Y. A. Kusumadewi, et al., 2024 Birth of catastrophe and strange attractors through generalized hopf bifurcations in covid-19 transmission mathematical model. Chaos Theory and Applications 6: 159–169.
  • Yılmaz, E. and E.Aydıner, 2024 Chaotic and quasi-periodic regimes in the covid-19 mortality data. Chaos Theory and Applications 6: 41–50.
There are 51 citations in total.

Details

Primary Language English
Subjects Biological Mathematics, Complex Systems in Mathematics
Journal Section Research Article
Authors

Benjamin Idoko Omede 0000-0002-2431-2573

Sayooj Aby Jose 0000-0003-4437-1623

Anuwat Jirawattanapanit 0000-0002-6319-0214

Olfa Boubaker 0000-0001-8656-4090

Project Number Not Applicable
Submission Date July 11, 2025
Acceptance Date March 13, 2026
Publication Date March 28, 2026
DOI https://doi.org/10.51537/chaos.1740622
IZ https://izlik.org/JA82XX94FP
Published in Issue Year 2026 Volume: 8 Issue: 1

Cite

APA Omede, B. I., Jose, S. A., Jirawattanapanit, A., & Boubaker, O. (2026). Stability and Bifurcation Analysis of Mpox Transmission Model. Chaos Theory and Applications, 8(1), 36-55. https://doi.org/10.51537/chaos.1740622

Chaos Theory and Applications in Applied Sciences and Engineering: An interdisciplinary journal of nonlinear science 23830 28903   

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