ORIGINAL RESEARCH article
Front. Public Health
Sec. Health Economics
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1597381
This article is part of the Research TopicPublic Health Outcomes: The Role of Social Security Systems in Improving Residents' Health WelfareView all 58 articles
The Impact of Social Security Systems on Public Health Outcomes: An Economic Perspective on Machine Translation Applications
Provisionally accepted- Taizhou Vocational College of Science and Technology, Taizhou, China
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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 well-being 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. 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. These applications contribute to the evaluation of social security systems by improving the accessibility and efficiency of service delivery, particularly in linguistically diverse populations. 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.
Keywords: social security systems, Public Health, Economic Policy Modeling, Dynamic optimization, statistical learning
Received: 21 Mar 2025; Accepted: 03 Jun 2025.
Copyright: © 2025 Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Li Li, Taizhou Vocational College of Science and Technology, Taizhou, China
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