Introduction: after six months of detecting the first case of Coronavirus disease 2019 (COVID-19) in the world, a research study on the transmission of the disease by its global distribution, was carried out. Objective: to determine if there are differences in the averages of people infected with COVID 19 between countries around the world. Materials and Methods: the database including people infected with COVID-19 was used, with the information collected between June 28 and 30 2020. Data collected by applying the ANOVA and a Duncan post hoc multiple comparisons test was used for statistical analysis, in the SPSS v.25 statistical package. Results: from the statistical analysis of data applying the ANOVA mean comparison, it was determined that the p value for the variable, transmission, is equal to 0.000, which is less than α =0.05, thus, the hypothesis (Ho) is rejected, which means that at least for one of the averages it is different from the rest of the results obtained for infected people with COVID-19 from nation to nation. Conclusions: half of the global number of cases have been registered in the United States and Europe, but are rapidly increasing across America. In Latin America the rate of new cases has accelerated since mid-May, and is rising predominantly in Brazil, Mexico and Chile, according to the World Health Organization.