PERSPECTIVE article

Front. Public Health

Sec. Infectious Diseases: Epidemiology and Prevention

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1584938

This article is part of the Research TopicOutbreak Oracles: How AI's Journey through COVID-19 Shapes Future Epidemic StrategyView all 9 articles

Exploring the Emerging Technologies and Trends of Infectious Diseases in the Post-Epidemic Era

Provisionally accepted
Huaiyan  FanHuaiyan Fan*Yuan  QianYuan QianZhijian  HeZhijian HeLong  LiuLong LiuMei  WangMei Wang
  • The First People’s Hospital of Zhaotong, Zhaotong, China

The final, formatted version of the article will be published soon.

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.

Keywords: Infectious diseases department, Post -pandemic era, bioinformatics, artificial intelligence, big data, digital transformation

Received: 28 Feb 2025; Accepted: 22 May 2025.

Copyright: © 2025 Fan, Qian, He, Liu and Wang. 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: Huaiyan Fan, The First People’s Hospital of Zhaotong, Zhaotong, China

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