This paper introduces some elements of mathematical modeling to show suspected, recovered and deceased COVID-19 patients, and the chains adopted in deploying operations around the world, and it is still not definitively known when people acquire long-term immunity, but the formulation of proposed models for probability distributions allows for the definition of the finite difference scheme. Non-standard, some graphical results have been presented to some carefully selected countries. The results showed that health safety plans and isolation of infected and suspected humans, in general, is the only way so far that can reduce the risk of the spread of this epidemic in the near future, and also through statistical analysis using fitted models that revealed a high and unstable exponential growth of the number of confirmed cases. And deaths and cases that responded to treatment based on the results of experimental COVID-19 predictions, and it is expected that the number of infected cases and daily deaths will stabilize after the measures taken by most countries, and this situation will continue until the largest number of people are vaccinated in order to obtain herd immunity, and control the causes. As the epidemic spreads like human gatherings and contact, the results of this work will be useful to practitioners in various fields of theoretical and applied sciences.
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