Computational Modelling in Epidemiological Dispersion Using Diffusion and Epidemiological Equations: Epidemiological Dispersion Modelling
George I. Lambrou,
Kyriaki Hatziagapiou,
Petros Toumpaniaris,
Penelope Ioannidou and
Dimitrios Koutsouris
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George I. Lambrou: National and Kapodistiran University of Athens, Athens, Greece
Kyriaki Hatziagapiou: National and Kapodistrian University of Athens, Athens, Greece
Petros Toumpaniaris: Biomedical Engineering Lab, National Technical University of Athens, Athens, Greece
Penelope Ioannidou: National Technical University of Athens, Athens, Greece
Dimitrios Koutsouris: Biomedical Engineering Lab, National Technical University of Athens, Athens, Greece
International Journal of Reliable and Quality E-Healthcare (IJRQEH), 2019, vol. 8, issue 4, 1-37
Abstract:
Although a considerable amount of knowledge is gathered concerning diseases and their transmission, still more is to learn on their mathematical modelling. The present work reviews the existent knowledge on models of epidemiological dispersion, the creation of a new form of an epidemiological diffusion equation, and the subsequent application of this equation to the investigation of epidemiological phenomena. Towards that scope, the authors have used mathematical models which have been previously reported, as well as algorithmic approaches of stochastic nature for the solution of complex functions. In particular, they have used dynamic programming algorithms, Robbins-Monro and Kiefer-Wolfowitz stochastic optimization algorithms, Markov chains and cellular automata. The modified diffusion equation could potentially provide a useful tool to the investigation of epidemiological phenomena. More research is required in order to explore the extent of its possibilities and uses.
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jrqeh0:v:8:y:2019:i:4:p:1-37
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