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Cost-Effective Strategies for Infectious Diseases: A Multi-Objective Framework with an Interactive Dashboard

Year: 2025

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2509.09087

Authors: Lee, Jongmin, Mendoza, Renier, Mendoza, Victoria May P., Jung, Eunok

Institutions: Konkuk University, Konkuk University Medical Center, University of the Philippines Diliman

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Research Foundation, Ministry of Science and ICT, South Korea

OpenAlex ID: W7081568079

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