tetano
Editor, Senior Moderator
Sci Rep
. 2025 May 2;15(1):15326.
doi: 10.1038/s41598-025-00153-9. Neural networks to model COVID-19 dynamics and allocate healthcare resources
Abdullah Ali H Ahmadini[SUP] 1 [/SUP], Yashpal Singh Raghav[SUP] 1 [/SUP], Ali M Mahnashi[SUP] 1 [/SUP], Khalid Ul Islam Rather[SUP] 2 [/SUP], Irfan Ali[SUP] 3 [/SUP]
Affiliations
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.
Keywords: COVID-19 forecasting; Epidemiological modeling; Healthcare resource optimization; Machine learning; Neural networks.
. 2025 May 2;15(1):15326.
doi: 10.1038/s41598-025-00153-9. Neural networks to model COVID-19 dynamics and allocate healthcare resources
Abdullah Ali H Ahmadini[SUP] 1 [/SUP], Yashpal Singh Raghav[SUP] 1 [/SUP], Ali M Mahnashi[SUP] 1 [/SUP], Khalid Ul Islam Rather[SUP] 2 [/SUP], Irfan Ali[SUP] 3 [/SUP]
Affiliations
- PMID: 40312406
- PMCID: PMC12045988
- DOI: 10.1038/s41598-025-00153-9
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.
Keywords: COVID-19 forecasting; Epidemiological modeling; Healthcare resource optimization; Machine learning; Neural networks.