Failure and Success in Single-Drug Control of Antimicrobial Resistance
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866915711834652672 |
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| author | Anderson, Alejandro Katz, Rami Campana, Francesca Calà Giordano, Giulia |
| author_facet | Anderson, Alejandro Katz, Rami Campana, Francesca Calà Giordano, Giulia |
| contents | We propose a mathematical model of Antimicrobial Resistance in the host to predict the failure of two antagonists of bacterial growth: the immune response and a single-antibiotic therapy. After characterising the initial bacterial load that cannot be cleared by the immune system alone, we define the success set of initial conditions for which an infection-free equilibrium can be reached by a viable single-antibiotic therapy, and we provide a rigorously defined inner approximation of the set. For initial conditions within the success set, we propose an optimal control framework to design single-drug therapies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_09616 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Failure and Success in Single-Drug Control of Antimicrobial Resistance Anderson, Alejandro Katz, Rami Campana, Francesca Calà Giordano, Giulia Populations and Evolution We propose a mathematical model of Antimicrobial Resistance in the host to predict the failure of two antagonists of bacterial growth: the immune response and a single-antibiotic therapy. After characterising the initial bacterial load that cannot be cleared by the immune system alone, we define the success set of initial conditions for which an infection-free equilibrium can be reached by a viable single-antibiotic therapy, and we provide a rigorously defined inner approximation of the set. For initial conditions within the success set, we propose an optimal control framework to design single-drug therapies. |
| title | Failure and Success in Single-Drug Control of Antimicrobial Resistance |
| topic | Populations and Evolution |
| url | https://arxiv.org/abs/2504.09616 |