# Exploring the emerging technologies and trends of infectious diseases in the post-epidemic era

**Authors:** Fan Huaiyan, Qian Yuan, He Zhijian, Liu Long, Wang Mei

PMC · DOI: 10.3389/fpubh.2025.1584938 · Frontiers in Public Health · 2025-06-11

## TL;DR

This paper explores how emerging technologies can transform infectious disease management and research in the post-pandemic world.

## Contribution

It highlights the role of interdisciplinary technologies in driving digital transformation and improving disease management.

## Key findings

- Data-driven decision-making optimizes infectious diseases department management.
- Bioinformatics and AI show promise in pathogen research and medical services.
- Emerging technologies support innovation in disease prevention and vaccine development.

## Abstract

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.

## Full-text entities

- **Diseases:** infectious diseases (MESH:D003141)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12187677/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12187677/full.md

---
Source: https://tomesphere.com/paper/PMC12187677