A hybrid approach to study and forecast climate-sensitive norovirus infections in the USA

DOI10.1016/J.JTBI.2024.112007MaRDI QIDQ6671235

Hao Wang, Shohel Ahmed, Juping Ji

Publication date: 24 January 2025

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

zbMATH Keywords

inverse methodmachine learningtransmission rateenvironmental conditionsgeneralized boosting modelnorovirus

Mathematics Subject Classification ID

Epidemiology (92D30) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Cites Work

• Greedy function approximation: A gradient boosting machine.
• A hypothesis-free bridging of disease dynamics and non-pharmaceutical policies
• From policy to prediction: forecasting COVID-19 dynamics under imperfect vaccination
• Extracting the time-dependent transmission rate from infection data via solution of an inverse ODE problem
• The inverse method for a childhood infectious disease model with its application to pre-vaccination and post-vaccination measles data
• Climate-dependent effectiveness of nonpharmaceutical interventions on COVID-19 mitigation

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