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A Mathematical Model of Helicobacter pylori Transmission Incorporating Antibiotic Resistance

Received: 19 March 2026     Accepted: 30 March 2026     Published: 24 April 2026
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Abstract

Helicobacter pylori (H. pylori) infection remains a major public health concern, particularly in developing countries with inadequate sanitation. The increasing rate of antibiotic resistance complicates treatment, prolongs infections, increases household transmission, and raises the risk of complications like stomach ulcers, highlighting the need for improved interventions. This study develops and analyzes a mathematical model of H. pylori transmission that incorporates antibiotic resistance, classifying infectious individuals into drug-sensitive, drug-resistant, and stomach ulcer cases. Individuals with drug-sensitive infections are treated with first-line antibiotics, those with drug-resistant infections are treated with second-line antibiotic therapy, and patients infected with stomach ulcer cases undergo specialized antibiotic management. Moreover, the transition from drug-resistant to drug-sensitive cases occurs as treatment suppresses resistant strains, letting sensitive strains dominate. Analytical results show that the basic reproduction number ℜc; is the sum of two reproduction numbers ℜs and ℜr representing the contribution of the sensitive and resistant strains, respectively. The disease-free equilibrium is locally asymptotically stable when ℜc<1, indicating possible eradication under effective control measures, while the endemic equilibrium is stable when ℜc>1, implying persistent transmission. Sensitivity analysis identifies critical parameters that influence the persistence of H. pylori in the population. Numerical simulations demonstrate that improved hygiene and sanitation, together with the use of appropriate and timely antibiotic therapy, significantly reduce the prevalence of sensitive and resistant strains, limit stomach ulcer development, and lower the overall infection burden.

Published in American Journal of Mathematical and Computer Modelling (Volume 11, Issue 2)
DOI 10.11648/j.ajmcm.20261102.11
Page(s) 81-97
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Helicobacter Pylori, Drug-sensitive Strain, Drug-Resistant Strain, Antibiotic Resistance, Reproduction Number, Numerical Simulation

References
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Cite This Article
  • APA Style

    Mwanthi, V. K., Karanja, S., Njagi, L., Kimathi, M. (2026). A Mathematical Model of Helicobacter pylori Transmission Incorporating Antibiotic Resistance. American Journal of Mathematical and Computer Modelling, 11(2), 81-97. https://doi.org/10.11648/j.ajmcm.20261102.11

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    ACS Style

    Mwanthi, V. K.; Karanja, S.; Njagi, L.; Kimathi, M. A Mathematical Model of Helicobacter pylori Transmission Incorporating Antibiotic Resistance. Am. J. Math. Comput. Model. 2026, 11(2), 81-97. doi: 10.11648/j.ajmcm.20261102.11

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    AMA Style

    Mwanthi VK, Karanja S, Njagi L, Kimathi M. A Mathematical Model of Helicobacter pylori Transmission Incorporating Antibiotic Resistance. Am J Math Comput Model. 2026;11(2):81-97. doi: 10.11648/j.ajmcm.20261102.11

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  • @article{10.11648/j.ajmcm.20261102.11,
      author = {Vincent Kyunguti Mwanthi and Stephen Karanja and Loyford Njagi and Mark Kimathi},
      title = {A Mathematical Model of Helicobacter pylori Transmission Incorporating Antibiotic Resistance},
      journal = {American Journal of Mathematical and Computer Modelling},
      volume = {11},
      number = {2},
      pages = {81-97},
      doi = {10.11648/j.ajmcm.20261102.11},
      url = {https://doi.org/10.11648/j.ajmcm.20261102.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmcm.20261102.11},
      abstract = {Helicobacter pylori (H. pylori) infection remains a major public health concern, particularly in developing countries with inadequate sanitation. The increasing rate of antibiotic resistance complicates treatment, prolongs infections, increases household transmission, and raises the risk of complications like stomach ulcers, highlighting the need for improved interventions. This study develops and analyzes a mathematical model of H. pylori transmission that incorporates antibiotic resistance, classifying infectious individuals into drug-sensitive, drug-resistant, and stomach ulcer cases. Individuals with drug-sensitive infections are treated with first-line antibiotics, those with drug-resistant infections are treated with second-line antibiotic therapy, and patients infected with stomach ulcer cases undergo specialized antibiotic management. Moreover, the transition from drug-resistant to drug-sensitive cases occurs as treatment suppresses resistant strains, letting sensitive strains dominate. Analytical results show that the basic reproduction number ℜc; is the sum of two reproduction numbers ℜs and ℜr representing the contribution of the sensitive and resistant strains, respectively. The disease-free equilibrium is locally asymptotically stable when ℜcc>1, implying persistent transmission. Sensitivity analysis identifies critical parameters that influence the persistence of H. pylori in the population. Numerical simulations demonstrate that improved hygiene and sanitation, together with the use of appropriate and timely antibiotic therapy, significantly reduce the prevalence of sensitive and resistant strains, limit stomach ulcer development, and lower the overall infection burden.},
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - A Mathematical Model of Helicobacter pylori Transmission Incorporating Antibiotic Resistance
    AU  - Vincent Kyunguti Mwanthi
    AU  - Stephen Karanja
    AU  - Loyford Njagi
    AU  - Mark Kimathi
    Y1  - 2026/04/24
    PY  - 2026
    N1  - https://doi.org/10.11648/j.ajmcm.20261102.11
    DO  - 10.11648/j.ajmcm.20261102.11
    T2  - American Journal of Mathematical and Computer Modelling
    JF  - American Journal of Mathematical and Computer Modelling
    JO  - American Journal of Mathematical and Computer Modelling
    SP  - 81
    EP  - 97
    PB  - Science Publishing Group
    SN  - 2578-8280
    UR  - https://doi.org/10.11648/j.ajmcm.20261102.11
    AB  - Helicobacter pylori (H. pylori) infection remains a major public health concern, particularly in developing countries with inadequate sanitation. The increasing rate of antibiotic resistance complicates treatment, prolongs infections, increases household transmission, and raises the risk of complications like stomach ulcers, highlighting the need for improved interventions. This study develops and analyzes a mathematical model of H. pylori transmission that incorporates antibiotic resistance, classifying infectious individuals into drug-sensitive, drug-resistant, and stomach ulcer cases. Individuals with drug-sensitive infections are treated with first-line antibiotics, those with drug-resistant infections are treated with second-line antibiotic therapy, and patients infected with stomach ulcer cases undergo specialized antibiotic management. Moreover, the transition from drug-resistant to drug-sensitive cases occurs as treatment suppresses resistant strains, letting sensitive strains dominate. Analytical results show that the basic reproduction number ℜc; is the sum of two reproduction numbers ℜs and ℜr representing the contribution of the sensitive and resistant strains, respectively. The disease-free equilibrium is locally asymptotically stable when ℜcc>1, implying persistent transmission. Sensitivity analysis identifies critical parameters that influence the persistence of H. pylori in the population. Numerical simulations demonstrate that improved hygiene and sanitation, together with the use of appropriate and timely antibiotic therapy, significantly reduce the prevalence of sensitive and resistant strains, limit stomach ulcer development, and lower the overall infection burden.
    VL  - 11
    IS  - 2
    ER  - 

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Author Information
  • Department of Mathematics, Meru University of Science and Technology, Meru, Kenya

  • Department of Mathematics, Meru University of Science and Technology, Meru, Kenya

  • Department of Mathematics, Meru University of Science and Technology, Meru, Kenya

  • Department of Mathematics and Statistics, Machakos University, Machakos, Kenya

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