Neural networks to model COVID-19 dynamics and allocate healthcare resources

被引：0
作者：
Abdullah Ali H. Ahmadini [1 ]
Yashpal Singh Raghav [1 ]
Ali M. Mahnashi [1 ]
Khalid Ul Islam Rather [2 ]
Irfan Ali [3 ]
机构：
[1] Department of Mathematics, College of Science, Jazan University, P.O. Box. 114, Jazan
[2] Division of Statistics & Computer Science, SKUAST-Jammu, Jammu
[3] Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh
来源：
Scientific Reports | / 15卷 / 1期
关键词：
COVID-19; forecasting; Epidemiological modeling; Healthcare resource optimization; Machine learning; Neural networks;
D O I：
10.1038/s41598-025-00153-9
中图分类号：
学科分类号：
摘要：
This study presents a neural network-based framework for COVID-19 transmission prediction and healthcare resource optimization. The model achieves high prediction accuracy by integrating epidemiological, mobility, vaccination, and environmental data and enables dynamic resource allocation. The results demonstrate significant improvements in forecasting performance and healthcare preparedness compared to traditional models. This work enhances decision-making in pandemic management by leveraging machine learning for real-time operational efficiency. © The Author(s) 2025.
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