The hard lessons and shifting modeling trends of COVID-19 dynamics: multiresolution modeling approach

DOI10.1007/s11538-021-00959-4zbMath1478.92172OpenAlexW3214441026WikidataQ112561418 ScholiaQ112561418MaRDI QIDQ2060031

Aditi Ghosh, Jai Prakash Tripathi, Olcay Akman, Sudipa Chauhan, Sara Liesman, Anuj Mubayi, Rebecca Perlin, Edwin Michael, Padmanabhan Seshaiyer

Publication date: 13 December 2021

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11538-021-00959-4

zbMATH Keywords

multi-objective optimizationparticipatory modeling

Mathematics Subject Classification ID

Epidemiology (92D30) Medical epidemiology (92C60) Mathematical modeling or simulation for problems pertaining to biology (92-10)

Related Items (4)

The importance of quarantine: modelling the COVID-19 testing process ⋮ A reaction-diffusion epidemic model with virus mutation and media coverage: theoretical analysis and numerical simulation ⋮ Influence of distinct social contexts of long-term care facilities on the dynamics of spread of COVID-19 under predefine epidemiological scenarios ⋮ Dynamic analysis of delayed vaccination process along with impact of retrial queues

Cites Work

• Dynamics of two-strain influenza model with cross-immunity and no quarantine class
• Multiobjective optimization to a TB-HIV/AIDS coinfection optimal control problem
• Epidemiological models with age structure, proportionate mixing, and cross-immunity
• Capturing the dynamics of pathogens with many strains
• Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation
• Dynamics of Two-Strain Influenza with Isolation and Partial Cross-Immunity
• Global dynamics of a multi-strain SEIR epidemic model with general incidence rates: application to COVID-19 pandemic

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