Susceptible-Exposed-Infectious Model Using Markov Chains

In the present work we introduced and analyzed the most basic transmission SEI (susceptible-exposed-infective) model for a directly transmitted infectious disease caused by Coronavirus disease 2019 (COVID-19). The SEI model is modeling as a Markov chain and we computed a closed form formula of the m...

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Veröffentlicht in:	Journal of nonlinear mathematical physics 2024-02, Vol.31 (1), p.8, Article 8
Hauptverfasser:	Omar, F. M., Sohaly, M. A., El-Metwally, H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms COVID-19 Disease transmission Epidemics Infections Infectious diseases Markov analysis Markov chains Mathematical models Mathematical Physics Mathematics Mathematics and Statistics Media coverage Pandemics Probability Public health Random walk Research Article Viral diseases
Online-Zugang:	Volltext
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