A comprehensive probabilistic analysis of approximate SIR‐type epidemiological models via full randomized discrete‐time Markov chain formulation with applications

6533b81ffe1ef96bd12783f9

RESEARCH PRODUCT

A comprehensive probabilistic analysis of approximate SIR‐type epidemiological models via full randomized discrete‐time Markov chain formulation with applications

S.k. El‐labany A. Navarro-quiles Howida Slama Juan Carlos Cortés M. M. Selim

subject

010101 applied mathematics Discrete mathematics Markov chain Discrete time and continuous time General Mathematics 010102 general mathematics General Engineering Probabilistic analysis of algorithms 0101 mathematics Type (model theory)01 natural sciences Mathematics

description

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

year	journal	country	edition	language
2020-04-29	Mathematical Methods in the Applied Sciences

https://doi.org/10.1002/mma.6482

PEPhysical Sciences and Engineering
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