Numerical analysis approach for models of COVID-19 and other epidemics

Author:

Ritu 1,Gupta Yogesh1ORCID

Affiliation:

1. Department of Mathematics, Jaypee Institute of Information Technology, A-10, Sector-62, Noida-201309, Uttar Pradesh, India

Abstract

The world wide spread of COVID-19 epidemic has instigated an unprecedented demand and supply of research related to this epidemic. Together with medical research for treatment and cure of the pandemic, efficient mathematical modeling of epidemics is the need of hour. First, this paper depicts a detailed and comprehensive compendium of various numerical methods used for infectious diseases modeling during last 14 years including the very recent work done for COVID-19 models. This gives researchers a good insight about past work done, present efforts and future scope of numerical analysis methods for epidemic modeling. Second, this paper also proposes its numerical analysis approach based on Adomian decomposition method (ADM) for generalized SEIR model of COVID-19. The proposed method is shown to give very accurate numerical results.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science Applications,Modeling and Simulation

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Multi-step Differential Transform Approach for a Nonlinear Fractional COVID–19 Pandemic Model;2023 International Conference on Fractional Differentiation and Its Applications (ICFDA);2023-03-14

2. Numerical Treatment On SEIR Problem With Temporal Fractal Fractional Derivatives;J APPL SCI ENG;2023

3. Chaos Theory Applied to Cascading Disaster Dynamics, Modelling and Control;2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON);2022-04-17

4. A comparative analysis of eleven neural networks architectures for small datasets of lung images of COVID-19 patients toward improved clinical decisions;Computers in Biology and Medicine;2021-12

5. Transmission dynamics of depression in socially connected population: A nonlinear modeling study;International Journal of Modeling, Simulation, and Scientific Computing;2021-03-31

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