Research on the impact of artificial intelligence technology on urban public health resilience
Bibliographic Data
| ID | 22090948 |
|---|---|
| Authors | Erdong Chen (0000-0002-1551-3015, Liaoning University, corresponding author), Huaxin Zhang, Hua‐Xin Zhang (0000-0003-1739-0124, Liaoning University) |
| Year | 2025 |
| Volume | 12 |
| Pages | 1506930-1506930 |
| Publication date | 2025-01-07 |
| Peer Reviewed | Yes |
| 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.2024.1506930 |
| PMID | 39839427 |
| OpenAlex | W4406127915 |
| Language | EN |
| Citations received | 3 |
| References cited | 46 |
Urban public health resilience has become a critical focus in the transition to high-quality development, especially in addressing increasing public health challenges. This study explores the role of artificial intelligence (AI) technology in enhancing urban public health resilience across 284 Chinese cities from 2011 to 2021. Using a comprehensive index based on resistance, recovery, and innovation dimensions, the study quantifies AI technology levels through patent applications and authorizations, further disaggregating these into invention, utility model, and design patents. A two-way fixed effects regression model and spatial econometric models are employed to analyze the direct and spillover effects of AI on urban public health systems. The results demonstrate that AI technology significantly enhances resilience by improving resource allocation and response efficiency, with stronger impacts observed in eastern and central regions compared to western regions, where economic and technological capacities are weaker. Spatial analysis reveals significant positive spillover effects, particularly from patent authorizations, which enhance public health resilience in neighboring cities through cross-regional collaboration and resource sharing. Despite these advancements, regional disparities in economic development and technological infrastructure limit AI’s broader impact, underscoring the need for targeted policies, enhanced funding, and interdisciplinary training to bridge the digital divide. The findings highlight AI’s transformative potential in fostering urban public health resilience and call for sustained investment and collaboration to maximize its benefits
Data science · Public health · Advanced Technologies in Various Fields · Climate Change and Health Impacts · Computer Science · Health disparities and outcomes · Medicine · Nursing
Spatial resilience
Spatial planning for multifunctional green infrastructure
Urban resilience efforts must consider social and political forces
AI-employee collaboration and business performance
Essential public health functions are not enough
From resilience attributes to city resilience
Towards a resilience management guideline — Cities as a starting point for societal resilience
Benefits and challenges of consolidating public health functions into a National Public Health Institute
Energy transitions, air quality and health
Factors influencing patients’ engagement with ChatGPT for accessing health-related information
Examining the relationship between regional economic resilience and epidemiologic spread of Covid-19
A Systematic Review of Collaboration and Network Research in the Public Affairs Literature
Resilience implications of policy responses to climate change
The economic resilience of regions
An East–West comparison of healthcare evaluations in Europe
Digital turn, digital geographies
Public health
The backroads of AI
Regional economic resilience, hysteresis and recessionary shocks
Sustainability transformations
Resilience Thinking
Resilience (Republished)
Technology, innovation, employment and power
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |