Cost-Effective Strategies for Infectious Diseases: A Multi-Objective Framework with an Interactive Dashboard
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866912997146886144 |
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| author | Lee, Jongmin Mendoza, Renier Mendoza, Victoria May P. Jung, Eunok |
| author_facet | Lee, Jongmin Mendoza, Renier Mendoza, Victoria May P. Jung, Eunok |
| contents | During an infectious disease outbreak, policymakers must balance medical costs with social and economic burdens and seek interventions that minimize both. To support this decision-making process, we developed a framework that integrates multi-objective optimization, cost-benefit analysis, and an interactive dashboard. This platform enables users to input cost parameters and immediately obtain a cost-optimal intervention strategy. We applied this framework to the early outbreak of COVID-19 in South Korea. The results showed that cost-optimal solutions for costs per infection ranging from 4,410 USD to 361,000 USD exhibited a similar pattern. This indicates that once the cost per infection is specified, our approach generates the corresponding cost-optimal solution without additional calculations. Our framework supports decision-making by accounting for trade-offs between policy and infection costs. It delivers rapid optimization and cost-benefit analysis results, enabling timely and informed decision-making during the critical phases of a pandemic. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2509_09087 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Cost-Effective Strategies for Infectious Diseases: A Multi-Objective Framework with an Interactive Dashboard Lee, Jongmin Mendoza, Renier Mendoza, Victoria May P. Jung, Eunok Optimization and Control 37N40, 90C26, 90C29, 90B50, 92-04, 90-04 G.4; I.6.3; J.4; J.3 During an infectious disease outbreak, policymakers must balance medical costs with social and economic burdens and seek interventions that minimize both. To support this decision-making process, we developed a framework that integrates multi-objective optimization, cost-benefit analysis, and an interactive dashboard. This platform enables users to input cost parameters and immediately obtain a cost-optimal intervention strategy. We applied this framework to the early outbreak of COVID-19 in South Korea. The results showed that cost-optimal solutions for costs per infection ranging from 4,410 USD to 361,000 USD exhibited a similar pattern. This indicates that once the cost per infection is specified, our approach generates the corresponding cost-optimal solution without additional calculations. Our framework supports decision-making by accounting for trade-offs between policy and infection costs. It delivers rapid optimization and cost-benefit analysis results, enabling timely and informed decision-making during the critical phases of a pandemic. |
| title | Cost-Effective Strategies for Infectious Diseases: A Multi-Objective Framework with an Interactive Dashboard |
| topic | Optimization and Control 37N40, 90C26, 90C29, 90B50, 92-04, 90-04 G.4; I.6.3; J.4; J.3 |
| url | https://arxiv.org/abs/2509.09087 |