Introduction:

Several models have tried to predict and evaluate the current status of the pandemic that the new coronavirus, labeled SARVS-CoV2, has caused. This evaluation would be the basis for decision making. Therefore, the importance of monitoring the COVID-19 status in a selected period of time is very important for the process of information management, which can be done through statistical and mathematical methods in order to make big decisions to control the epidemic.

Objective:

To propose a mathematical and statistical method to monitor COVID-19 status in contrast to the peak of the epidemic in a selected period of time.

Method:

Several theoretical methods were used, specially: analysis, synthesis, abstract; and other purely mathematical methods.

Results:

As a result of the practical application of the methods used, valid and reliable information was generated in charts, supporting an effective process of decision making. Conclusions: This proposal shows the robustness of its theoretical aspects and a practical effectiveness that, even if elaborated to submit Cuban-generated national data, it could be used in other countries, and even in a provincial or municipal level.

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