Research Article
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Year 2025, Volume: 15 Issue: 1, 1 - 36, 30.06.2025
https://doi.org/10.17678/beuscitech.1573256

Abstract

References

  • M. Sholikah, C. Alfiniyah and Miswanto, “Stability analysis and optimal control of mathematical model for the spread of hepatitis E,” Commun. Math. Biol. Neurosci., vol. 37, pp. 1–24, 2020.
  • S. E. Mwaijande and G. E. Mpogolo, “Modeling the Transmission Dynamics of Hepatitis A with Combined Vaccination and Sanitation Mitigation,” Comput. Math. Methods Med., pp. 1–19, 2023.
  • WHO, A. Hepatitis and World Health Organization, 2022. [Online]. Available: http://www.who.int/mediacentre/factsheets/fs328/en/.
  • MMWR, “Prevention of hepatitis A through active or passive immunization: Recommendations of the Advisory Committee on Immunization Practices (ACIP),” MMWR Recomm. Rep., vol. 48, no. 12, pp. 1–37, 1999.
  • J. T. Stapleton and S. M. Lemon, “Infectious Diseases,” in Hepatitis A and Hepatitis E, Lippincott Co, Philadelphia, US, pp. 790–797, 1994.
  • J. L. Trujillo-Ochoa, O. Viera-Segura, and N. A. Fiery, “Challenges in management of hepatitis A virus epidemiological transition in Mexico,” Ann. Hepatol., vol. 18, no. 1, pp. 14–22, 2019.
  • C. J. Staes, T. L. Schlenker, I. Risk et al., “Sources of infection among persons with acute hepatitis A and no identified risk factors during a sustained community-wide outbreak,” Pediatrics, vol. 106, no. 4, p. E54, 2000.
  • E. Bianco, A. Mariano, A. Mele, E. Spada, and M. Tosti, “Epidemiology of acute viral hepatitis: twenty years of surveillance through SEIEVA in Italy and a review of the literature,” Rapporti Istisan, vol. 12, 2006.
  • R. Aggarwal and S. Naik, “Epidemiology of hepatitis E: current status,” J. Gastroenterol. Hepatol., vol. 24, no. 9, pp. 1484–1493, 2009.
  • J. Zuckerman, “Hepatitis Viruses,” in Medical Microbiology, 4th ed., S. Baron, Ed. Galveston, TX: Univ. Texas Med. Branch, 1996, ch. 70. [Online]. Available: https://www.ncbi.nlm.nih.gov/books/NBK7864
  • G. J. Ebrahim, “The Five Hepatitis Viruses,” J. Trop. Pediatr., vol. 57, no. 6, pp. 401–404, 2011.
  • D. K. Owens et al., “Screening for Hepatitis B Virus Infection in Pregnant Women: U.S. Preventive Services Task Force Reaffirmation Recommendation Statement,” JAMA, vol. 322, no. 4, pp. 349–354, 2019.
  • A. C. Loyinmi, and S. O. Gbodogbe, “Epidemiological viability and control of rotavirus: A mathematical modelling approach,” Fnaps journal, vol. 6, no. 2, pp. 18-43, 2025.
  • R. Ragusa, L. S. Corsaro, E. Frazzetto, E. Bertino, M. A. Bellia and G. Bertino, “Hepatitis C Virus Infection in Children and Pregnant Women,” AJP Rep., vol. 10, no. 1, pp. 121–127, 2020.
  • S. Saab, R. Kullar, C. Amini and P. Gounder, “The next frontier: universal hepatitis C virus screening in pregnant women,” Am. J. Obstet. Gynecol., 2020, doi:10.1016/j.ajog.2020.01.058.
  • T. Ahmad, J. Hui, T. H. Musa, M. Behzadifar and M. Baig, “Seroprevalence of hepatitis E virus infection in pregnant women: a systematic review and meta-analysis,” Ann. Saudi Med., vol. 40, no. 2, pp. 136–146, 2020.
  • M. S. Khuroo, S. Kamili and M. S. Khuroo, “Clinical course and duration of viremia in vertically transmitted hepatitis E virus (HEV) infection in babies born to HEV-infected mothers,” J. Viral Hepat., vol. 16, no. 7, pp. 519–523, 2009.
  • WHO, “Hepatitis E,” WHO, 2018. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/hepatitis-e [Accessed: Aug. 29, 2018].
  • G. S. Oluwafemi, and A.C. Loyinmi, “Model of optimal control strategies for the transmission of diphtheria,” Journal of Information & Optimization Sciences ISSN 0252-2667 (Print), ISSN 2169-0103 (Online). Available: https://tarupublication.s3.ap-south-1.amazonaws.com/articles/jios-1587.pdf DOI : 10.47974/JIOS-1587
  • H. Sooryanarain and X. J. Meng, “Swine hepatitis E virus: Cross-species infection, pork safety and chronic infection,” Virus Res., vol. 284, 197985, 2020. doi:10.1016/j.virusres.2020.197985
  • H. Ren, J. Li, Z. Yuan, J. Hu, Y. Yu and Y. Lu, “The development of a combined mathematical model to forecast the incidence of hepatitis E in Shanghai, China,” BMC Infect. Dis., vol. 13, no. 421, 2013.
  • WHO, “Viral hepatitis,” WHO, 2010. [Online]. Available: http://apps.who.int/gb/ebwha/pdf_files/A62/A62_22-en.pdf
  • N. Chitnis, J. M. Hyman and J. M. Cushing, “Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model,” Bull. Math. Biol., vol. 70, no. 5, 2008.
  • C. Loyinmi and A. L. Ijaola, “Investigating the effects of some control measures on the dynamics of diphtheria infection using fractional order model,” Math. Comput. Sci., vol. 5, no. 4, pp. 26–47, 2024. doi:10.30511/MCS.2024.2032110.1183
  • Castillo-Chavez and B. Song, “Dynamical models of tuberculosis and their applications,” Math. Biosci. Eng., vol. 1, no. 2, pp. 361–404, 2004.
  • S. O. Gbodogbe, “Harmonizing epidemic dynamics: A fractional calculus approach to optimal control strategies for cholera transmission,” Sci. Afr., vol. 27, 2025.
  • Korobeinikov, “Global properties of infectious disease models with non-linear incidence,” Bull. Math. Biol., vol. 69, no. 6, 2007.
  • J. T. Stapleton and S. M. Lemon, “Infectious Diseases, (Chapter) Hepatitis A and Hepatitis E,” Lippincott Co, Philadelphia, US, pp. 790–797, 1994.
  • K. Ayouni et al., “Hepatitis A virus infection in Central-West Tunisia: an age structured model of transmission and vaccination impact,” BMC Infect. Dis., vol. 20, no. 1, pp. 1–13, 2020.
  • F. Brouwer et al., “The impact of vaccination efforts on the spatiotemporal patterns of the hepatitis A outbreak in Michigan, 2016–18,” Epidemiology, vol. 31, no. 5, 2020.
  • T. Van Effelterre, C. Marano and K. H. Jacobsen, “Modeling the hepatitis A epidemiological transition in Thailand,” Vaccine, vol. 34, no. 4, pp. 555–562, 2016.
  • M. Ajelli, L. Fumanelli, P. Manfredi and S. Merler, “Spatiotemporal dynamics of viral hepatitis A in Italy,” Theor. Popul. Biol., vol. 79, no. 1–2, pp. 1–11, 2011.
  • M. Ajelli, M. Iannelli, P. Manfredi and M. L. C. degli Atti, “Basic mathematical models for the temporal dynamics of HAV in medium-endemicity Italian areas,” Vaccine, vol. 26, no. 13, pp. 1697–1707, 2008.
  • A. C. Loyinmi, and S. O. Gbodogbe, “Mathematical modeling and control strategies for Nipah virus transmission incorporating bat-to-pig-to-human pathway,” EDUCATUM Journal of Science, Mathematics and Technology, vol. 11, no. 1, pp. 54-80, 2024.
  • E. Fiore, A. Wasley and B. P. Bell, “Prevention of hepatitis A through active or passive immunization: recommendations of the Advisory Committee on Immunization Practices (ACIP),” MMWR Recomm. Rep., vol. 55, no. 7, 2006.
  • T. P. Van Effelterre, T. K. Zink, B. J. Hoet, W. P. Hausdorff and P. A. Rosenthal, “Mathematical model of hepatitis A transmission in the United States indicates value of universal childhood immunization,” Clin. Infect. Dis., vol. 43, no. 2, pp. 158–164, 2006.
  • M. A. D. Guimaraens and C. T. Codeço, “Experiments with mathematical models to simulate hepatitis A population dynamics under different levels of endemicity,” Cad. Saúde Pública, vol. 21, no. 5, pp. 1531–1539, 2005.
  • R. S. Koff, “Clinical manifestations and diagnosis of hepatitis A virus infection,” Vaccine, vol. 10, no. Suppl. 1, pp. S15–S17, 1992.
  • S. Krugman and J. P. Giles, “Viral hepatitis,” JAMA, vol. 212, no. 6, pp. 1019–1029, 1970.
  • C. J. Staes et al., “Sources of infection among persons with acute hepatitis A and no identified risk factors during a sustained community-wide outbreak,” Pediatrics, vol. 106, no. 4, 2006.
  • C. Loyinmi, S. O. Gbodogbe and K. O. Idowu, “On the interaction of the human immune system with foreign body: Mathematical modelling approach,” Kathmandu Univ. J. Sci. Eng. Technol., vol. 17, no. 2, pp. 1–17, 2023. [Online]. Available: https://journals.ku.edu.np/kuset/article/view/137
  • K. M. Bisgard, A. Kao and J. Leake, “Haemophilus influenzae invasive disease in the United States, 1994–1995: near disappearance of a vaccine-preventable childhood disease,” Emerg. Infect. Dis., vol. 4, pp. 229–237, 1998.
  • B. P. Bell, D. Kruszon-Moran and C. N. Shapiro, “Hepatitis A virus infection in the United States: serologic results from the third national health and nutrition examination survey,” Vaccine, vol. 23, pp. 5798–5806, 2005.
  • F. Averhoff, C. N. Shapiro and B. P. Bell, “Control of hepatitis A through routine vaccination of children,” JAMA, vol. 286, pp. 2968–2973, 2001.
  • R. Singh, P. Preeti and A. A. Raina, “Markovian epidemic queueing model with exposed, infection and vaccination based on treatment,” World Sci. News, vol. 106, pp. 141–150, 2018.
  • Din and Y. Li, “Optimizing HIV/AIDS dynamics: stochastic control strategies with education and treatment,” Eur. Phys. J. Plus, vol. 139, no. 9, p. 812, 2024.
  • S. M. A. Shah, H. Tahir, A. Khan and A. Arshad, “Stochastic model on the transmission of worms in wireless sensor network,” J. Math. Tech. Model., vol. 1, no. 1, pp. 75–88, 2024.
  • Q. T. Ain, “Nonlinear stochastic cholera epidemic model under the influence of noise,” J. Math. Tech. Model., vol. 1, no. 1, pp. 52–74, 2024.
  • Din, “Bifurcation analysis of a delayed stochastic HBV epidemic model: Cell-to-cell transmission,” Chaos Solitons Fractals, vol. 181, 114714, 2024.
  • S. Ullah, “Investigating a coupled system of Mittag-Leffler type fractional differential equations with coupled integral boundary conditions,” J. Math. Tech. Model., vol. 1, no. 2, pp. 16–28, 2024.

Modeling and comprehensive strategic intervention analysis for Hepatitis A and E infections: A paradigm shift in public health dynamics

Year 2025, Volume: 15 Issue: 1, 1 - 36, 30.06.2025
https://doi.org/10.17678/beuscitech.1573256

Abstract

Infectious diseases like Hepatitis A and E pose substantial challenges to public health globally, necessitating innovative strategies that combine mathematical modelling with strategic intervention analysis. This study introduces a comprehensive mathematical model designed to encapsulate the complex dynamics of Hepatitis A and E infections, including susceptibility, vaccination, latent and acute phases, treatment, and recovery.
A thorough quantitative analysis was performed, encompassing the non-negativity and boundedness of solutions, the disease-free equilibrium, and the basic reproductive ratio. Stability analyses provided critical insights into the local and global dynamics of the model, essential for understanding the conditions under which the diseases persist or are controlled.
Sensitivity analysis highlighted key parameters driving disease transmission, aiding in the development of targeted intervention strategies. Utilizing optimal control theory, innovative intervention frameworks were formulated to optimize vaccination campaigns, allocate treatment resources efficiently, implement health education programs, and enhance sanitation measures. Numerical simulations further demonstrated the effectiveness of these interventions, showcasing their influence on population dynamics, disease prevalence, and environmental contamination.

References

  • M. Sholikah, C. Alfiniyah and Miswanto, “Stability analysis and optimal control of mathematical model for the spread of hepatitis E,” Commun. Math. Biol. Neurosci., vol. 37, pp. 1–24, 2020.
  • S. E. Mwaijande and G. E. Mpogolo, “Modeling the Transmission Dynamics of Hepatitis A with Combined Vaccination and Sanitation Mitigation,” Comput. Math. Methods Med., pp. 1–19, 2023.
  • WHO, A. Hepatitis and World Health Organization, 2022. [Online]. Available: http://www.who.int/mediacentre/factsheets/fs328/en/.
  • MMWR, “Prevention of hepatitis A through active or passive immunization: Recommendations of the Advisory Committee on Immunization Practices (ACIP),” MMWR Recomm. Rep., vol. 48, no. 12, pp. 1–37, 1999.
  • J. T. Stapleton and S. M. Lemon, “Infectious Diseases,” in Hepatitis A and Hepatitis E, Lippincott Co, Philadelphia, US, pp. 790–797, 1994.
  • J. L. Trujillo-Ochoa, O. Viera-Segura, and N. A. Fiery, “Challenges in management of hepatitis A virus epidemiological transition in Mexico,” Ann. Hepatol., vol. 18, no. 1, pp. 14–22, 2019.
  • C. J. Staes, T. L. Schlenker, I. Risk et al., “Sources of infection among persons with acute hepatitis A and no identified risk factors during a sustained community-wide outbreak,” Pediatrics, vol. 106, no. 4, p. E54, 2000.
  • E. Bianco, A. Mariano, A. Mele, E. Spada, and M. Tosti, “Epidemiology of acute viral hepatitis: twenty years of surveillance through SEIEVA in Italy and a review of the literature,” Rapporti Istisan, vol. 12, 2006.
  • R. Aggarwal and S. Naik, “Epidemiology of hepatitis E: current status,” J. Gastroenterol. Hepatol., vol. 24, no. 9, pp. 1484–1493, 2009.
  • J. Zuckerman, “Hepatitis Viruses,” in Medical Microbiology, 4th ed., S. Baron, Ed. Galveston, TX: Univ. Texas Med. Branch, 1996, ch. 70. [Online]. Available: https://www.ncbi.nlm.nih.gov/books/NBK7864
  • G. J. Ebrahim, “The Five Hepatitis Viruses,” J. Trop. Pediatr., vol. 57, no. 6, pp. 401–404, 2011.
  • D. K. Owens et al., “Screening for Hepatitis B Virus Infection in Pregnant Women: U.S. Preventive Services Task Force Reaffirmation Recommendation Statement,” JAMA, vol. 322, no. 4, pp. 349–354, 2019.
  • A. C. Loyinmi, and S. O. Gbodogbe, “Epidemiological viability and control of rotavirus: A mathematical modelling approach,” Fnaps journal, vol. 6, no. 2, pp. 18-43, 2025.
  • R. Ragusa, L. S. Corsaro, E. Frazzetto, E. Bertino, M. A. Bellia and G. Bertino, “Hepatitis C Virus Infection in Children and Pregnant Women,” AJP Rep., vol. 10, no. 1, pp. 121–127, 2020.
  • S. Saab, R. Kullar, C. Amini and P. Gounder, “The next frontier: universal hepatitis C virus screening in pregnant women,” Am. J. Obstet. Gynecol., 2020, doi:10.1016/j.ajog.2020.01.058.
  • T. Ahmad, J. Hui, T. H. Musa, M. Behzadifar and M. Baig, “Seroprevalence of hepatitis E virus infection in pregnant women: a systematic review and meta-analysis,” Ann. Saudi Med., vol. 40, no. 2, pp. 136–146, 2020.
  • M. S. Khuroo, S. Kamili and M. S. Khuroo, “Clinical course and duration of viremia in vertically transmitted hepatitis E virus (HEV) infection in babies born to HEV-infected mothers,” J. Viral Hepat., vol. 16, no. 7, pp. 519–523, 2009.
  • WHO, “Hepatitis E,” WHO, 2018. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/hepatitis-e [Accessed: Aug. 29, 2018].
  • G. S. Oluwafemi, and A.C. Loyinmi, “Model of optimal control strategies for the transmission of diphtheria,” Journal of Information & Optimization Sciences ISSN 0252-2667 (Print), ISSN 2169-0103 (Online). Available: https://tarupublication.s3.ap-south-1.amazonaws.com/articles/jios-1587.pdf DOI : 10.47974/JIOS-1587
  • H. Sooryanarain and X. J. Meng, “Swine hepatitis E virus: Cross-species infection, pork safety and chronic infection,” Virus Res., vol. 284, 197985, 2020. doi:10.1016/j.virusres.2020.197985
  • H. Ren, J. Li, Z. Yuan, J. Hu, Y. Yu and Y. Lu, “The development of a combined mathematical model to forecast the incidence of hepatitis E in Shanghai, China,” BMC Infect. Dis., vol. 13, no. 421, 2013.
  • WHO, “Viral hepatitis,” WHO, 2010. [Online]. Available: http://apps.who.int/gb/ebwha/pdf_files/A62/A62_22-en.pdf
  • N. Chitnis, J. M. Hyman and J. M. Cushing, “Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model,” Bull. Math. Biol., vol. 70, no. 5, 2008.
  • C. Loyinmi and A. L. Ijaola, “Investigating the effects of some control measures on the dynamics of diphtheria infection using fractional order model,” Math. Comput. Sci., vol. 5, no. 4, pp. 26–47, 2024. doi:10.30511/MCS.2024.2032110.1183
  • Castillo-Chavez and B. Song, “Dynamical models of tuberculosis and their applications,” Math. Biosci. Eng., vol. 1, no. 2, pp. 361–404, 2004.
  • S. O. Gbodogbe, “Harmonizing epidemic dynamics: A fractional calculus approach to optimal control strategies for cholera transmission,” Sci. Afr., vol. 27, 2025.
  • Korobeinikov, “Global properties of infectious disease models with non-linear incidence,” Bull. Math. Biol., vol. 69, no. 6, 2007.
  • J. T. Stapleton and S. M. Lemon, “Infectious Diseases, (Chapter) Hepatitis A and Hepatitis E,” Lippincott Co, Philadelphia, US, pp. 790–797, 1994.
  • K. Ayouni et al., “Hepatitis A virus infection in Central-West Tunisia: an age structured model of transmission and vaccination impact,” BMC Infect. Dis., vol. 20, no. 1, pp. 1–13, 2020.
  • F. Brouwer et al., “The impact of vaccination efforts on the spatiotemporal patterns of the hepatitis A outbreak in Michigan, 2016–18,” Epidemiology, vol. 31, no. 5, 2020.
  • T. Van Effelterre, C. Marano and K. H. Jacobsen, “Modeling the hepatitis A epidemiological transition in Thailand,” Vaccine, vol. 34, no. 4, pp. 555–562, 2016.
  • M. Ajelli, L. Fumanelli, P. Manfredi and S. Merler, “Spatiotemporal dynamics of viral hepatitis A in Italy,” Theor. Popul. Biol., vol. 79, no. 1–2, pp. 1–11, 2011.
  • M. Ajelli, M. Iannelli, P. Manfredi and M. L. C. degli Atti, “Basic mathematical models for the temporal dynamics of HAV in medium-endemicity Italian areas,” Vaccine, vol. 26, no. 13, pp. 1697–1707, 2008.
  • A. C. Loyinmi, and S. O. Gbodogbe, “Mathematical modeling and control strategies for Nipah virus transmission incorporating bat-to-pig-to-human pathway,” EDUCATUM Journal of Science, Mathematics and Technology, vol. 11, no. 1, pp. 54-80, 2024.
  • E. Fiore, A. Wasley and B. P. Bell, “Prevention of hepatitis A through active or passive immunization: recommendations of the Advisory Committee on Immunization Practices (ACIP),” MMWR Recomm. Rep., vol. 55, no. 7, 2006.
  • T. P. Van Effelterre, T. K. Zink, B. J. Hoet, W. P. Hausdorff and P. A. Rosenthal, “Mathematical model of hepatitis A transmission in the United States indicates value of universal childhood immunization,” Clin. Infect. Dis., vol. 43, no. 2, pp. 158–164, 2006.
  • M. A. D. Guimaraens and C. T. Codeço, “Experiments with mathematical models to simulate hepatitis A population dynamics under different levels of endemicity,” Cad. Saúde Pública, vol. 21, no. 5, pp. 1531–1539, 2005.
  • R. S. Koff, “Clinical manifestations and diagnosis of hepatitis A virus infection,” Vaccine, vol. 10, no. Suppl. 1, pp. S15–S17, 1992.
  • S. Krugman and J. P. Giles, “Viral hepatitis,” JAMA, vol. 212, no. 6, pp. 1019–1029, 1970.
  • C. J. Staes et al., “Sources of infection among persons with acute hepatitis A and no identified risk factors during a sustained community-wide outbreak,” Pediatrics, vol. 106, no. 4, 2006.
  • C. Loyinmi, S. O. Gbodogbe and K. O. Idowu, “On the interaction of the human immune system with foreign body: Mathematical modelling approach,” Kathmandu Univ. J. Sci. Eng. Technol., vol. 17, no. 2, pp. 1–17, 2023. [Online]. Available: https://journals.ku.edu.np/kuset/article/view/137
  • K. M. Bisgard, A. Kao and J. Leake, “Haemophilus influenzae invasive disease in the United States, 1994–1995: near disappearance of a vaccine-preventable childhood disease,” Emerg. Infect. Dis., vol. 4, pp. 229–237, 1998.
  • B. P. Bell, D. Kruszon-Moran and C. N. Shapiro, “Hepatitis A virus infection in the United States: serologic results from the third national health and nutrition examination survey,” Vaccine, vol. 23, pp. 5798–5806, 2005.
  • F. Averhoff, C. N. Shapiro and B. P. Bell, “Control of hepatitis A through routine vaccination of children,” JAMA, vol. 286, pp. 2968–2973, 2001.
  • R. Singh, P. Preeti and A. A. Raina, “Markovian epidemic queueing model with exposed, infection and vaccination based on treatment,” World Sci. News, vol. 106, pp. 141–150, 2018.
  • Din and Y. Li, “Optimizing HIV/AIDS dynamics: stochastic control strategies with education and treatment,” Eur. Phys. J. Plus, vol. 139, no. 9, p. 812, 2024.
  • S. M. A. Shah, H. Tahir, A. Khan and A. Arshad, “Stochastic model on the transmission of worms in wireless sensor network,” J. Math. Tech. Model., vol. 1, no. 1, pp. 75–88, 2024.
  • Q. T. Ain, “Nonlinear stochastic cholera epidemic model under the influence of noise,” J. Math. Tech. Model., vol. 1, no. 1, pp. 52–74, 2024.
  • Din, “Bifurcation analysis of a delayed stochastic HBV epidemic model: Cell-to-cell transmission,” Chaos Solitons Fractals, vol. 181, 114714, 2024.
  • S. Ullah, “Investigating a coupled system of Mittag-Leffler type fractional differential equations with coupled integral boundary conditions,” J. Math. Tech. Model., vol. 1, no. 2, pp. 16–28, 2024.
There are 50 citations in total.

Details

Primary Language English
Subjects Biological Mathematics
Journal Section Research Article
Authors

Adedapo Loyinmi 0000-0002-6171-4256

Submission Date October 24, 2024
Acceptance Date February 21, 2025
Publication Date June 30, 2025
Published in Issue Year 2025 Volume: 15 Issue: 1

Cite

IEEE A. Loyinmi, “Modeling and comprehensive strategic intervention analysis for Hepatitis A and E infections: A paradigm shift in public health dynamics”, Bitlis Eren University Journal of Science and Technology, vol. 15, no. 1, pp. 1–36, 2025, doi: 10.17678/beuscitech.1573256.