Another look at a good approximation of data for the distribution of COVID-19 in Cuba
Keywords:
COVID-19, predictive study, population growth curves, Cuba.Abstract
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.
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References
1. Medina Mendieta JF, Cortés Cortés ME, Cortés Iglesias M. Ajuste de curvas de crecimiento poblacional aplicadas a la COVID-19 en Cuba. Rev haban cienc méd [Internet]. 2020 [Cited 04/04/2020];19(Supl.):e3353. Available from: https://www.revhabanera.sld.cu/index.php/rhab/article/view/3353
2. Kyurkchiev N, Iliev A, Rahnev A. On the Half-Logistic Model with ”polynomial variable transfer”. Application to approximate the specific ”data CORONA VIRUS”. International Journal of Differential Equations and Applications [Internet]. 2020 [Cited 04/04/2020];19(1):45–61. Available from:
3. Kyurkchiev N, Iliev A, Rahnev A. A Look at the New Logistic Models with ”Polynomial Variable Transfer” [Internet]. Alemania: LAP LAMBERT Academic Publishing; 2020 [Cited 04/04/2020]. Available from:
4. Cordeiro G, Alizadeh M, Ortega E. The exponentiated Half–Logistic Family of Distributions: Properties and Applications. J Prob Stat [Internet]. 2014 [Cited 04/04/2020]; 28:21. Available from:
5. Sendov B. Hausdorff Approximations, Kluwer, Boston[Internet]. London: Academic Press Academic Press; 1990 [Cited 04/04/2020]. Available from: