A robust numerical two-level second-order explicit approach to predicting the spread of Covid-2019 pandemic with undetected infectious cases

DOI10.1016/j.cam.2021.113852zbMath1481.92006OpenAlexW3203564307WikidataQ110036399 ScholiaQ110036399MaRDI QIDQ2667129

Eric Ngondiep

Publication date: 24 November 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2021.113852

zbMATH Keywords

stability analysisnumerical experimentsconvergence ratemathematical modellingSARS-COV-2 modellingtwo-level explicit scheme

Mathematics Subject Classification ID

Epidemiology (92D30) Stability and convergence of numerical methods for ordinary differential equations (65L20) Numerical methods for initial value problems involving ordinary differential equations (65L05) Computational methods for problems pertaining to biology (92-08)

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Cites Work

• Be-CoDiS: a mathematical model to predict the risk of human diseases spread between countries -- validation and application to the 2014--2015 ebola virus disease epidemic
• Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission
• Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China
• Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study
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