Abstract
INTRODUCTION: The relationship between social security systems and public health outcomes has garnered significant attention due to its impact on improving health welfare and promoting economic stability. Social security systems, including pension schemes, healthcare benefits, and unemployment support, are essential for shaping societal wellbeing by influencing healthcare access, labor market participation, and overall economic resilience. However, traditional methods for evaluating these systems often fail to capture the complex dynamics of policy interventions over time. METHODS: To address this, we propose an advanced economic policy modeling framework that integrates dynamic optimization techniques with machine translation applications. Machine translation applications refer to the use of automated translation tools to facilitate communication in multilingual contexts, ensuring equal access to healthcare and social services. RESULTS: These applications contribute to the evaluation of social security systems by improving the accessibility and efficiency of service delivery, particularly in linguistically diverse populations. DISCUSSION: By incorporating both economic policy modeling and machine translation technology, our framework offers a comprehensive analysis of social security interventions, demonstrating how well-optimized policies can enhance public health outcomes while ensuring fiscal sustainability.