Another look at a good approximation of data for the distribution of COVID-19 in Cuba

Título

Another look at a good approximation of data for the distribution of COVID-19 in Cuba

Autor

Nikolay Kyurkchiev, Anton Iliev, Asen Rahnev, Todorka Terzieva

Descripción

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.

Fecha

2020

Materia

covid-19, Cuba, estudio predictivo, curvas de crecimiento poblacional

Fuente

Biotemas

Editor

Universidade Federal de Santa Catarina

Cobertura

Public aspects of medicine, Medicine (General)

Archivos

https://socictopen.socict.org/files/to_import/pdfs/358c7d4cc4a9cabf076758c6c88774c7.pdf

Colección

Citación

Nikolay Kyurkchiev, Anton Iliev, Asen Rahnev, Todorka Terzieva, “Another look at a good approximation of data for the distribution of COVID-19 in Cuba,” SOCICT Open, consulta 18 de abril de 2026, https://www.socictopen.socict.org/items/show/7000.

Formatos de Salida

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