<?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>1028-9933</journal-id>
<journal-title><![CDATA[Revista Información Científica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. inf. cient.]]></abbrev-journal-title>
<issn>1028-9933</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Ciencias Médicas Guantánamo]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1028-99332020000600538</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Método estadístico matemático para identificar el estado de la COVID-19 con relación al pico epidémico]]></article-title>
<article-title xml:lang="en"><![CDATA[Statistical and mathematical method to monitor COVID-19 status in relation to the peak of the epidemic]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-Capdevila]]></surname>
<given-names><![CDATA[Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cobas-Ortiz]]></surname>
<given-names><![CDATA[Yanelis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-Cobas]]></surname>
<given-names><![CDATA[Alejandro Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Delegación de Ciencia, Tecnología y Medio Ambiente de Guantánamo  ]]></institution>
<addr-line><![CDATA[ Guantánamo]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Guantánamo  ]]></institution>
<addr-line><![CDATA[ Guantánamo]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Ciencias Médicas Guantánamo  ]]></institution>
<addr-line><![CDATA[ Guantánamo]]></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>99</volume>
<numero>6</numero>
<fpage>538</fpage>
<lpage>547</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1028-99332020000600538&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1028-99332020000600538&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1028-99332020000600538&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  Varios modelos han intentado pronosticar y evaluar el estado actual de la pandemia que ha generado el coronavirus SARVS-CoV2, siendo la evaluación la base fundamental para la toma de decisiones. Por ello, la importancia de identificar el estado de la COVID-19 en un lapso seleccionado es un proceso de gestión de información muy importante, el cual puede realizarse a través de métodos estadísticos y matemáticos con el fin de tomar decisiones para controlar la epidemia.  Objetivo:  Proponer un método estadístico matemático para identificar el estado de la COVID-19 con relación al pico epidémico en lapsos escogidos.  Método:  Se utilizaron métodos teóricos entre los que destacan el análisis, la síntesis y la abstracción, y otros de carácter puramente matemáticos.  Resultados:  Como resultado de la aplicación práctica del método se generan gráficos que ofrecen información válida y confiable para un eficaz proceso de toma de decisiones.  Conclusiones:  Esta propuesta muestra robustez teórica y eficacia práctica que, aunque se elabora teniendo en cuenta los datos de Cuba, es extrapolable a cualquier otro país, e incluso a provincias y municipios.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction: Several models have tried to predict and evaluate the current status of the pandemic that the new coronavirus, labeled SARVS-CoV2, has caused. This evaluation would be the basis for decision making. Therefore, the importance of monitoring the COVID-19 status in a selected period of time is very important for the process of information management, which can be done through statistical and mathematical methods in order to make big decisions to control the epidemic.  Objective: To propose a mathematical and statistical method to monitor COVID-19 status in contrast to the peak of the epidemic in a selected period of time.  Method: Several theoretical methods were used, specially: analysis, synthesis, abstract; and other purely mathematical methods.  Results: As a result of the practical application of the methods used, valid and reliable information was generated in charts, supporting an effective process of decision making. Conclusions: This proposal shows the robustness of its theoretical aspects and a practical effectiveness that, even if elaborated to submit Cuban-generated national data, it could be used in other countries, and even in a provincial or municipal level.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[análisis de datos, coronavirus]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[estadística y datos numéricos]]></kwd>
<kwd lng="es"><![CDATA[gráficos estadísticos]]></kwd>
<kwd lng="es"><![CDATA[matemática]]></kwd>
<kwd lng="es"><![CDATA[toma de decisiones]]></kwd>
<kwd lng="en"><![CDATA[data analysis]]></kwd>
<kwd lng="en"><![CDATA[coronavirus]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[statistical and numerical data]]></kwd>
<kwd lng="en"><![CDATA[statistical graphs]]></kwd>
<kwd lng="en"><![CDATA[mathematics]]></kwd>
<kwd lng="en"><![CDATA[decision making]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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