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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Simulation of Spread of Infectious Diseases in Human Population
 Křištof, Jiří ; Šimek, Václav (referee) ; Strnadel, Josef (advisor)
The aim of this work is to develop an epidemiological model to simulate the spread of the infectious disease covid-19. The developed SVLIHDRS model builds on compartmental models and is implemented as a Markov chain with continuous time. For the implementation, the UPPAAL tool is used. By comparing the simulation outputs with the observed data, the Spearman coefficients are 0.8940 for infectious individuals and 0.9987 for deceased individuals, the mean bias errors are 12510.7285 and 316.2697, respectively. The results of this thesis are useful for making long-term predictions of the epidemic evolution of covid-19 infection.
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