Resumen

KYURKCHIEV, Nikolay; ILIEV, Anton; RAHNEV, Asen  y  TERZIEVA, Todorka. Another look at a good approximation of data for the distribution of COVID-19 in Cuba. Rev haban cienc méd [online]. 2020, vol.19, n.3  Epub 10-Jul-2020. ISSN 1729-519X.

In the article “Adjustment of population growth curve applied to Covid-19 in Cuba”, the authors propose six types of models to approximate data from the distribution of COVID-19 in Cuba, while giving a clear answer to the possible advantages of some considerations. In this paper, we study intrinsic properties of some models of growth with polynomial variable transfer that give a very good approximation of the specific data on the pandemics in Cuba by June 5, 2020. The models have the right to exist in the treatment of issues from different fields of scientific knowledge. Numerical examples are presented using CAS MATHEMATICA.

Palabras clave : COVID-19; predictive study; population growth curves; Cuba.

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