Exploring the emerging technologies and trends of infectious diseases in the post-epidemic era
Bibliographic Data
| ID | 22071020 |
|---|---|
| Authors | Fan Huaiyan (The First People's Hospital of Zhaoqing, corresponding author), Qian Yuan (0009-0007-5992-0636), Yuan Qian (0000-0002-3967-7727, The First People's Hospital of Zhaoqing), He Zhijian (The First People's Hospital of Zhaoqing), Long Liu (0000-0002-1520-8504, The First People's Hospital of Zhaoqing), Liu Long (0009-0000-8776-6938), Wang Mei (0009-0008-0473-9087, The First People's Hospital of Zhaoqing) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1584938-1584938 |
| Publication date | 2025-06-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1584938 |
| PMID | 40567963 |
| OpenAlex | W4411221927 |
| Language | EN |
| Citations received | 1 |
| References cited | 20 |
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
Big data · Data science · Disease · Emerging technologies · Pandemic · Computer Science · COVID-19 diagnosis using AI · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Medicine
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |