Work

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

Year: 2025

Type: article

Abstract: 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.

Source: Scientific Reports

DOI: 10.1038/s41598-025-00153-9

Authors: Abdullah Ali H. Ahmadini, Yashpal Singh Raghav, Ali M. Mahnashi, Khalid Ul Islam Rather, Irfan Ali

Institutions: Jazan University, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Aligarh Muslim University

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,690