<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1684-1859</journal-id>
<journal-title><![CDATA[Revista Cubana de Informática Médica]]></journal-title>
<abbrev-journal-title><![CDATA[RCIM]]></abbrev-journal-title>
<issn>1684-1859</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Ciencias Médicas de La Habana]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1684-18592020000200002</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis de Modelo Matemático con percepción de riesgo para la CoVid19. Resultados para Cuba]]></article-title>
<article-title xml:lang="en"><![CDATA[Analysis of Mathematical Model with risk perception for the CoVid19. Results for Cuba]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Meció Padrón]]></surname>
<given-names><![CDATA[Daniel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bayolo Soler]]></surname>
<given-names><![CDATA[Gabriela]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marrero Severo]]></surname>
<given-names><![CDATA[Aymée]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de La Habana Facultad de Economía ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de La Habana Facultad de Matemática y Computación ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>12</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1684-18592020000200002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1684-18592020000200002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1684-18592020000200002&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN: En Epidemiología, han jugado un importante papel los Modelos Poblacionales que dividen a la población de estudio en subpoblaciones según los atributos que las distinguen, lo que permite representar la dinámica de contagio social de una determinada enfermedad, especialmente en momentos de brote epidémico. En el presente trabajo se explica cómo se representa la transmisión de enfermedades a través de modelos matemáticos definidos por ecuaciones diferenciales. En esta propuesta se formula un modelo matemático definido por ecuaciones diferenciales para representar la transmisión del SarsCov2 distinguiendo entre las poblaciones de infectados sintomáticos y asintomáticos de la CoVid19, con funciones que simulan las acciones gubernamentales e individuales ante la percepción de riesgo. También se presenta un análisis de los resultados obtenidos en Cuba.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT In Epidemiology, Population Models have played an important role, dividing the study population into subpopulations according to the attributes that distinguish them, allowing the dynamics of social contagion of a given disease to be represented, especially at times of epidemic outbreak. This work explains how the transmission of diseases is represented through mathematical models defined by differential equations. In this proposal, a mathematical model defined by differential equations is formulated to represent the transmission of SarsCov2, distinguishing between symptomatic and asymptomatic infected populations of CoVid19, with functions that simulate government and individual actions in the face of risk perception. An analysis of the results obtained in Cuba is also presented.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[modelo matemático poblacional]]></kwd>
<kwd lng="es"><![CDATA[SarsCov2]]></kwd>
<kwd lng="es"><![CDATA[CoVid19]]></kwd>
<kwd lng="es"><![CDATA[brote epidemiológico]]></kwd>
<kwd lng="es"><![CDATA[casos activos]]></kwd>
<kwd lng="es"><![CDATA[prevalencia]]></kwd>
<kwd lng="es"><![CDATA[clases epidemiológicas]]></kwd>
<kwd lng="en"><![CDATA[population mathematical model]]></kwd>
<kwd lng="en"><![CDATA[SarsCov2]]></kwd>
<kwd lng="en"><![CDATA[CoVid19]]></kwd>
<kwd lng="en"><![CDATA[epidemic outbreak]]></kwd>
<kwd lng="en"><![CDATA[active cases]]></kwd>
<kwd lng="en"><![CDATA[prevalence]]></kwd>
<kwd lng="en"><![CDATA[epidemilogical classes]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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