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Mar 2022 DOI 10.14302/issn.2692-1537.ijcv-22-4108
Raúl IseaCorresponding author
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 infection rate. These conclusions are d…
Dec 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3635
Raúl IseaCorresponding author
This work characterizes the transmission dynamics of the cases registered by Covid-19 in Venezuela. The needed input data were obtained from the official gazettes issued by the Government of Venezuela, from March 15 to September 9, 2020. Later, the value of the mantissa was determined, revealing the…
Oct 2022 DOI 10.14302/issn.2643-2811.jmbr-22-4258
Raúl IseaCorresponding author
This work proposes a modification of a compartmental-type model based on the Susceptible-Exposed-Infected-Recovered (SEIR) scheme to describe the dynamics of contagion by Covid-19 in any part of the world, including also the numerical and analytical calculation of the mantissa and the resolution of…
Oct 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3587
Raúl IseaCorresponding author
The work analyzes the dynamics of transmission of infections by the new coronavirus in twelve European countries, including France, Germany, Italy, Spain, UK, Austria, Croatia, Denmark, Greece, Romania, Czech Republic, and Portugal, whose data from contagion were obtained by Johns Hopkins University…
Aug 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3498
Raúl IseaCorresponding author
The paper proposes a new visualization scheme for the registry of Covid-19 cases by calculating the mantissa of the registered ones, so there is no need of performing complicated mathematical calculations. As an example, six countries are randomly selected: Australia, Brazil, China, Colombia, Portug…
Jul 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3453
Raul IseaCorresponding author
The present work analyzes the registered cases of Covid-19 throughout the world according the data registered at Johns Hopkins University. We selected 15 countries to analyze their data. In alphabetical order the countries are: Argentina, Australia, Brazil, Chile, China, Colombia, Germany, India, It…
May 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3376
Raul IseaCorresponding author
The goal of this paper is to analyze the registered cases of people who have been infected with Covid-19 registered from throughout the world, using a digital forensic analysis technique that is based on Benford's Law. Twenty-three countries were randomly chosen for this analysis: China, India, Germ…