GitHub / ayoubziate / Predicting-COVID-19-distribution-in-Morocco-
The current epidemic of coronavirus disease (COVID-19) has become a global crisis due to its rapid and widespread contamination worldwide. A good understanding of disease dynamics would significantly improve the control and prevention of COVID19. The unique features of this pandemic have limited the applications of all existing models We used, for the Moroccan context, a Markov chain system and a SIR modelfor predicting the distribution of the disease. The same stochasticmodel was used in Mexico, it characterizes the probabilitydistribution and the estimation of cases through a differentialequation (modified SIR model). With this model, we will be ableto characterize the disease and its evolution in order to be moreprepared and to promote more logical actions on the part ofpolicy makers than on the part of the general population.
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PURL: pkg:github/ayoubziate/Predicting-COVID-19-distribution-in-Morocco-
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Forks: 0
Open issues: 1
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Language: Jupyter Notebook
Size: 11.1 MB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: over 3 years ago
Pushed at: over 4 years ago
Last synced at: about 2 years ago
Topics: covid19, markov-chain, python, sir-model, webscapping