The authors have declared that no competing interests exist.

In this work we present how it is possible to visualize the different coronavirus outbreaks from the calculation of the mantissa from the daily record of cases by Covid-19.This curve can also indicate the speed of propagation of the disease from the calculated

Isea proposed a new graphical representation to be able to visualize the different epidemic outbreaks from the calculation of the mantissa obtained from the daily Covid-19 cases

We propose that the calculation of the mantissa may be associated with the propagation spread of infections by Covid-19, similar to

For this reason, we are going to obtain a mathematical expression that will determine the time-dependent

This calculation is very simple to do, and it can even be done from a cell phone, with the limitation that is valid only if the total number of people is representative in the country (details in the work methodology). Finally, we evaluated four different countries,

This paper presents the possibility of being able to associate the epidemic outbreaks Covid-19 with the

This methodology has been used in several scientific publications

Where _{i}_{10}_{i}_{i}

Let us remember that the values of the mantissa range from zero to one, where a value of zero corresponds to the absence of an epidemic outbreak, while a value of one corresponds to a high rate of spread of Covid-19 infections in this country.

We are going to determine a mathematical expression capable of quantifying the infection rate, traditionally abbreviated as ^{see for example 6}

where the constants

We are going to study the dynamics of contagion in entire countries. By considering the following approximation

So the expression to get the infection rate

As can be seen in the previous equation (5), the calculation of the infection rate only depends on the cases infected and recovered over time.

The daily record of cases by Covid-19 was obtained from the database managed by Johns Hopkins University, and we will only consider four countries: Australia, Brazil, Italy, and Venezuela. From these values, we calculated the value of the mantissa according to equation (1) and later the infection rate according to equation (5). The results can be seen in

The results obtained in the case of Brazil are shown in

The results in the case of Italy are shown in

Finally, the results obtained in Venezuela can be seen in

This paper presents a graphic representation that can help to visualize the different outbreaks by Covid-19 from the calculation of the mantissa. Also, an idea of the speed of spread of this disease in these countries can be derived. This assumption is in accordance with a mathematical expression that presents the infection rate dependent-time according to the SIR model. In fact, this type of calculation has the advantage of being able to visually identify the control measures carried out by a government as well as being able to generate alerts in the case of increases that can generate new outbreaks.

This work is dedicated to all the people who work in medical services who continually expose their lives to help recover all those people who are being infected by this pandemic.

I’d like to acknowledgment to Rafael Mayo-Garcia by your help and patience in read and comments this manuscript.