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Cellular Automata in Covid-19 prediction.
Podolski, Piotr; Nguyen, Hung Son.
  • Podolski P; Faculty of Mathematics, Informatics and Mechanics University of Warsaw Banacha 2, 02-097 Warszawa, Poland.
  • Nguyen HS; Faculty of Mathematics, Informatics and Mechanics University of Warsaw Banacha 2, 02-097 Warszawa, Poland.
Procedia Comput Sci ; 192: 3370-3379, 2021.
Article in English | MEDLINE | ID: covidwho-2301902
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Procedia Comput Sci Year: 2021 Document Type: Article Affiliation country: J.procs.2021.09.110

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Procedia Comput Sci Year: 2021 Document Type: Article Affiliation country: J.procs.2021.09.110