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A comprehensive probabilistic analysis of SIR-type epidemiological models based on full randomized Discrete-Time Markov Chain formulation with applications

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A comprehensive probabilistic analysis of SIR-type epidemiological models based on full randomized Discrete-Time Markov Chain formulation with applications

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Cortés, J.; El-Labany, S.; Navarro-Quiles, A.; Selim, MM.; Slama, H. (2020). A comprehensive probabilistic analysis of SIR-type epidemiological models based on full randomized Discrete-Time Markov Chain formulation with applications. Mathematical Methods in the Applied Sciences. 43(14):8204-8222. https://doi.org/10.1002/mma.6482

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/162100

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Title: A comprehensive probabilistic analysis of SIR-type epidemiological models based on full randomized Discrete-Time Markov Chain formulation with applications
Author: Cortés, J.-C. El-Labany, S.K. Navarro-Quiles, A. Selim, Mustafa M. Slama, H.
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Embargo end date: 2021-09-30
Abstract:
[EN] This paper provides a comprehensive probabilistic analysis of a full randomization of approximate SIR-type epidemiological models based on discrete-time Markov chain formulation. The randomization is performed by ...[+]
Subjects: First probability density function , Random variable transformation technique , Randomized discrete-time Markov chains , Simulations , SIR epidemiological model
Copyrigths: Embargado
Source:
Mathematical Methods in the Applied Sciences. (issn: 0170-4214 )
DOI: 10.1002/mma.6482
Publisher:
John Wiley & Sons
Publisher version: https://doi.org/10.1002/mma.6482
Project ID:
AEI/MTM2017-89664-P-AR
GENERALITAT VALENCIANA/APOSTD/2019/128
Thanks:
Spanish Ministerio de Economia y Competitividad, Grant/Award Number: MTM2017-89664-P; Generalitat Valenciana, Grant/Award Number: APOSTD/2019/128; Ministerio de Economia y Competitividad, Grant/Award Number: MTM2017-89664-P[+]
Type: Artículo

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