Mathematical modelling for coronavirus disease (COVID-19) in predicting future behaviours and sensitivity analysis

DOI10.1051/mmnp/2020020zbMath1467.92208OpenAlexW3024025841MaRDI QIDQ5001295

Sarbaz H. A. Khoshnaw, Rizgar H. Salih, Sadegh Sulaimany

Publication date: 19 July 2021

Published in: Mathematical Modelling of Natural Phenomena (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1051/mmnp/2020020

zbMATH Keywords

sensitivity analysisdifferential equationsmathematical modelingcomputational simulationscoronavirus disease (COVID-19)

Mathematics Subject Classification ID

Epidemiology (92D30) Computational methods for problems pertaining to biology (92-08) Research exposition (monographs, survey articles) pertaining to biology (92-02) Mathematical modeling or simulation for problems pertaining to biology (92-10)

Related Items (4)

Analysis of yellow fever prevention strategy from the perspective of mathematical model and cost-effectiveness analysis ⋮ A simulation study of the COVID-19 pandemic based on the Ornstein-Uhlenbeck processes ⋮ Mathematical modeling of COVID-19: Impact of non-pharmaceutical interventions in India ⋮ Deterministic and stochastic models for the epidemic dynamics of COVID-19 in Wuhan, China

Cites Work

• Reduction of a kinetic model of active export of importins
• Global dynamics of a SEIR model with varying total population size
• A discrete stochastic model of the COVID-19 outbreak: forecast and control
• Topological sensitivity analysis for systems biology
• On a quarantine model of coronavirus infection and data analysis

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