Disease effects on individual exposure rates using Matlab tools for susceptibility-infection-recovery models
DOI:
https://doi.org/10.54172/5ntd5q51Keywords:
Susceptible, Exposed-Infectious, Recovered model environmental compartment, MatlabAbstract
Infectious diseases with a viral origin are of significant worldwide concern. In recent times, pandemics are creating havoc across the entire globe. This paper presents a constructive analysis of a new mathematical concept that will help medical authorities to predict and to take controlling measures. In this work, we use ordinary first-order differential equations and compartmental model analysis for the calculation of the infection rate, transmission rate, and reproduction number of the patients. A new Advanced Susceptible-Exposed-Infectious-Recovered model has been introduced, which has greater accuracy of the reproduction number. The prediction of a model of disease transmission demonstrates the performance characteristics of the proposed model.
References
1. L. M. Erinle-Ibrahim, W. O. Lawal, O. Adebimpe, G. R. Sontan, A susceptible exposed infected recovered susceptible (SEIRS) model for the transmission of tuberculosis. Tanzania Journal of Science 47, 917 (2021).
2. C.-C. Lai, C. Y. Hsu, H. H. Jen, A. M. F. Yen, C. C. Chan, H. H. Chen. The Bayesian susceptible-exposed-infected-recovered model for the outbreak of COVID-19 on the diamond princess cruise ship. Stochastic Environmental Research and Risk Assessment 35, 1319 (2021).
3. C. Li, J. Huang, Y.-H. Chen, H. Zhao, A fuzzy susceptible-exposed-infected-recovered model based on the confidence index. International Journal of Fuzzy Systems 23, 907 (2021).
4. T. Tomé, M. J. De Oliveira, Susceptible-infected-recovered and susceptible-exposed-infected models. Journal of Physics A: Mathematical and Theoretical 44, 095005 (2011).
5. A. Viguerie, G. Lorenzo, F. Auricchio, D. Baroli, T. J. Hughes, A. Patton, A. Reali, T. E. Yankeelov, A. Veneziani. Simulating the spread of COVID-19 via a spatially-resolved susceptible–exposed–infected–recovered–deceased (SEIRD) model with heterogeneous diffusion. Applied Mathematics Letters 111, 106617 (2021).
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