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10.1016/j.procs.2021.09.110

http://scihub22266oqcxt.onion/10.1016/j.procs.2021.09.110
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34630750!8486235!34630750
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suck abstract from ncbi

pmid34630750      Procedia+Comput+Sci 2021 ; 192 (ä): 3370-3379
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  • Cellular Automata in Covid-19 prediction #MMPMID34630750
  • Podolski P; Nguyen HS
  • Procedia Comput Sci 2021[]; 192 (ä): 3370-3379 PMID34630750show ga
  • 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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