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Author

Debashis Chatterjee

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Open access 2026

Current Trends in COVID-19 Severity: A Machine Learning Approach Based on RecentVariants, Genomic Mutations and Demographic Information

Abstract With the recent global surge in COVID-19 cases, understanding the current drivers of severe COVID-19 is critical as novel variants continue to emerge. This study aimed to investigate the impact of current SARS-CoV-2 variants, genomic mutations and patient demography on COVID-19 severity using robust prediction...

Meghna Banerjee, Debashis Chatterjee, Arindom Chakraborty · 0 citations
Aug 2026

MechGNN-Epi: Mechanistically Constrained Spatiotemporal Graph Learning for Regional Epidemic Forecasting

This work proposes MechGNN-Epi, a hybrid framework that couples a spatiotemporal graph encoder with a differentiable SIR update that yields epidemiologically constrained trajectories and produces region- and time-indexed parameter proxies that can be inspected as diagnostic signals, while not being guaranteed as causal...

Debashis Chatterjee, Sagnik Acharyya, Subrata Rana · 0 citations

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