Modeling the effect of the vaccination campaign on the COVID-19 pandemic

DOI10.1016/j.chaos.2021.111621zbMath1498.92193arXiv2108.13908OpenAlexW3214835090MaRDI QIDQ2170320

Marios Mattheakis, Mattia Angeli, Efthimios Kaxiras, Georgios Neofotistos

Publication date: 2 September 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2108.13908

zbMATH Keywords

neural networksmachine learningCOVID-19vaccines

Mathematics Subject Classification ID

Epidemiology (92D30) Medical epidemiology (92C60)

Related Items (3)

Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: the case study of COVID-19 ⋮ Investigating the impact of vaccine hesitancy on an emerging infectious disease: a mathematical and numerical analysis ⋮ A kinetic model considering the decline of antibody level and simulation about vaccination effect of COVID-19

Uses Software

• Adam
• GitHub

Cites Work

• SIR dynamics in random networks with heterogeneous connectivity
• Dynamical patterns of epidemic outbreaks in complex heterogeneous networks
• Forecasting epidemics through nonparametric estimation of time-dependent transmission rates using the SEIR model
• Extension and verification of the SEIR model on the 2009 influenza A (H1N1) pandemic in Japan
• Deep learning for physical processes: incorporating prior scientific knowledge

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