On the evolution of the COVID-19 epidemiological parameters using only the series of deceased. A study of the Spanish outbreak using genetic algorithms

DOI10.1016/J.MATCOM.2022.02.007OpenAlexW4212896521MaRDI QIDQ2139867

Eduardo Acosta-González, Julián Andrada-Félix, Fernando Fernández-Rodríguez

Publication date: 19 May 2022

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2022.02.007

zbMATH Keywords

genetic algorithmpredictive modellingCOVID-19SIRD model estimation

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Related Items (2)

Global stability and analysing the sensitivity of parameters of a multiple-susceptible population model of SARS-CoV-2 emphasising vaccination drive ⋮ Global asymptotic stability, extinction and ergodic stationary distribution in a stochastic model for dual variants of SARS-CoV-2

Cites Work

• Unnamed Item
• Generalized autoregressive conditional heteroscedasticity
• Using a genetic algorithm to fit parameters of a COVID-19 SEIR model for US states
• The Mathematics of Infectious Diseases
• Directly Transmitted Infections Diseases: Control by Vaccination
• Mathematical Models in Population Biology and Epidemiology

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