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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Coronavirus</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Dominio científico: Coronavirus</text>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Another look at a good approximation of data for the distribution of COVID-19 in Cuba</text>
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          <name>Creator</name>
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              <text>Nikolay Kyurkchiev, Anton Iliev, Asen Rahnev, Todorka Terzieva</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>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.</text>
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              <text>2020</text>
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              <text>covid-19, Cuba, estudio predictivo, curvas de crecimiento poblacional</text>
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          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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              <text>Biotemas</text>
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          <name>Publisher</name>
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              <text>Universidade Federal de Santa Catarina</text>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Public aspects of medicine, Medicine (General)</text>
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