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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2505.18209 |
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| _version_ | 1866912391877361664 |
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| author | Kemajou-Brown, Isabella Tiomela, Romario Gildas Foko Lawal, Olawale Nasiru Alagbe, Samson Adekola Talla, Serges Love Teutu |
| author_facet | Kemajou-Brown, Isabella Tiomela, Romario Gildas Foko Lawal, Olawale Nasiru Alagbe, Samson Adekola Talla, Serges Love Teutu |
| contents | This study explores the application of Pontryagin's Maximum Principle to derive optimal strategies for controlling the spread of COVID-19, leveraging a novel compartmental model to capture the disease dynamics. We prioritize three key criteria: cost, effectiveness, and feasibility, each examined independently to evaluate their unique contributions to pandemic management. By addressing these criteria, this study aims to design intervention strategies that are scientifically robust, practical, and economically sustainable. Furthermore, the focus on cost, effectiveness and feasibility seeks to provide policymakers with actionable insights for implementing interventions that maximize public health benefits while remaining feasible under real-world conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_18209 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Optimal Control of Covid-19 Interventions in Public Health Management Kemajou-Brown, Isabella Tiomela, Romario Gildas Foko Lawal, Olawale Nasiru Alagbe, Samson Adekola Talla, Serges Love Teutu Optimization and Control 49J20, 49K15, 92D30 This study explores the application of Pontryagin's Maximum Principle to derive optimal strategies for controlling the spread of COVID-19, leveraging a novel compartmental model to capture the disease dynamics. We prioritize three key criteria: cost, effectiveness, and feasibility, each examined independently to evaluate their unique contributions to pandemic management. By addressing these criteria, this study aims to design intervention strategies that are scientifically robust, practical, and economically sustainable. Furthermore, the focus on cost, effectiveness and feasibility seeks to provide policymakers with actionable insights for implementing interventions that maximize public health benefits while remaining feasible under real-world conditions. |
| title | Optimal Control of Covid-19 Interventions in Public Health Management |
| topic | Optimization and Control 49J20, 49K15, 92D30 |
| url | https://arxiv.org/abs/2505.18209 |