Huaiyan Fan, Yuan Qian, Zhijian He, Long Liu, Mei Wang
Zhaotong First People's Hospital, Zhaotong, China.
Front Public Health. 2025 Jun 11;13:1584938. doi: 10.3389/fpubh.2025.1584938. eCollection 2025.
This study focuses on the development of the infectious diseases department in the post-pandemic era. It reviews the impact, transformation needs, and challenges brought by the pandemic to this field. By discussing the application prospects of emerging technologies such as bioinformatics, artificial intelligence, and big data in epidemic analysis, pathogen research, and medical services, this article demonstrates how interdisciplinary technologies can promote the digital transformation of the infectious diseases department. Meanwhile, it analyzes the development trends of technologies in disease prevention, early diagnosis, innovative treatment methods, and vaccine development. Through case studies and empirical analysis, it reveals the effectiveness of data-driven decision-making in optimizing the management of the infectious diseases department. The research findings indicate the development direction of the infectious diseases department in the post-pandemic era and provide theoretical guidance and technical references for related research and practice.
本研究聚焦于大流行后时代传染病科的发展。它回顾了大流行给该领域带来的影响、转型需求和挑战。通过讨论生物信息学、人工智能和大数据等新兴技术在疫情分析、病原体研究和医疗服务中的应用前景，本文展示了跨学科技术如何推动传染病科的数字化转型。同时，分析了疾病预防、早期诊断、创新治疗方法和疫苗研发等技术的发展趋势。通过案例研究和实证分析，揭示了数据驱动决策在优化传染病科管理方面的有效性。研究结果指明了大流行后时代传染病科的发展方向，为相关研究和实践提供了理论指导和技术参考。
