Predicting Workplace Hazard, Stress and Burnout Among Public Health Inspectors
An AI-Driven Analysis in the Context of Climate Change
Bibliographic Data
| ID | 16945877 |
|---|---|
| Authors | Ioannis Adamopoulos (0000-0002-4942-7123, University of West Attica, corresponding author), Antonios Valamontes (0009-0008-5616-7746), Panagiotis Tsirkas (0009-0001-9996-2917, General Hospital of Ioannina G. Hatzikosta), George Dounias (0009-0004-9823-7037, University of West Attica) |
| Year | 2025 |
| Volume | 15 |
| Issue | 5 |
| Pages | 65 |
| Publication date | 2025-04-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | European Journal of Investigation in Health, Psychology and Education (JOURNAL) |
| Journal identifiers | ISSN: 2174-8144 • E-ISSN: 2254-9625 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ejihpe15050065 |
| PMID | 40422294 |
| OpenAlex | W4409682557 |
| Language | EN |
| Citations received | 4 |
| References cited | 25 |
The increasing severity of climate-related workplace hazards challenges occupational health and safety, particularly for Public Health and Safety Inspectors. Exposure to extreme temperatures, air pollution, and high-risk environments heightens immediate physical threats and long-term burnout. This study employs Artificial Intelligence (AI)-driven predictive analytics and secondary data analysis to assess hazards and forecast burnout risks. Machine learning models, including eXtreme Gradient Boosting (XGBoost 3.0), Random Forest, Autoencoders, and Long Short-Term Memory (LSTMs), achieved 85–90% accuracy in hazard prediction, reducing workplace incidents by 35% over six months. Burnout risk analysis identified key predictors: physical hazard exposure (β = 0.76, p 10 h/day, +40% risk), and inadequate training (β = 0.68, p
Burnout · Environmental health · Hazard · Occupational safety and health · Political science · Workforce · Workload · Applied Psychology · Climate Change and Health Impacts · Clinical Psychology · Computer Science · Medicine · Occupational Health and Safety Research · Psychology · Workplace Health and Well-being
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| Citations per year | 4 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |