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Article: Cellular Automata in Covid-19 prediction.

Podolski, Piotr / Nguyen, Hung Son

Procedia computer science

2021  Volume 192, Page(s) 3370–3379

Abstract: At the end of 2019 a new coronavirus emerged, turning into a world pandemic. The new coronavirus is called COVID-19. Different countries handled the pandemic differently and our main focus in this article is on Poland. For better counteracting and ... ...

Abstract At the end of 2019 a new coronavirus emerged, turning into a world pandemic. The new coronavirus is called COVID-19. Different countries handled the pandemic differently and our main focus in this article is on Poland. For better counteracting and managing the situation a model for predicting the dynamics of the pandemic is needed. In this article we present a model for simulating future infections taking into account various preventive measures and locations in Poland. We based the model on a two-dimensional cellular automata, with spatial dependencies between regions, different population and size of simulated regions.
Language English
Publishing date 2021-10-01
Publishing country Netherlands
Document type Journal Article
ZDB-ID 2557358-5
ISSN 1877-0509
ISSN 1877-0509
DOI 10.1016/j.procs.2021.09.110
Database MEDical Literature Analysis and Retrieval System OnLINE

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