<?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>2307-2113</journal-id>
<journal-title><![CDATA[Revista Cubana de Información en Ciencias de la Salud]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. cuba. inf. cienc. salud]]></abbrev-journal-title>
<issn>2307-2113</issn>
<publisher>
<publisher-name><![CDATA[Centro Nacional de Información de Ciencias MédicasEditorial Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2307-21132020000400004</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Asociación entre la pandemia de COVID-19 y las tendencias de búsqueda en internet en Latinoamérica]]></article-title>
<article-title xml:lang="en"><![CDATA[Association between the pandemic COVID-19 and internet search trends in Latin America]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aquino Canchari]]></surname>
<given-names><![CDATA[Christian Renzo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Caira Chuquineyra]]></surname>
<given-names><![CDATA[Brenda Sofia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chávez Bustamante]]></surname>
<given-names><![CDATA[Sarai Gloria]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Peruana los Andes Facultad de Medicina Humana Sociedad Científica de Estudiantes de Medicina los Andes (SOCIEMLA)]]></institution>
<addr-line><![CDATA[Huancayo ]]></addr-line>
<country>Perú</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional de San Agustín (UNSA) Facultad de Medicina Humana Sociedad Científica de Estudiantes de Medicina Agustinos (SOCIEMA)]]></institution>
<addr-line><![CDATA[Arequipa ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Continental Escuela de Medicina Humana Sociedad Científica de Estudiantes de Medicina Continental (SOCIMEC)]]></institution>
<addr-line><![CDATA[Huancayo ]]></addr-line>
<country>Perú</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>31</volume>
<numero>4</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2307-21132020000400004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2307-21132020000400004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2307-21132020000400004&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La enfermedad COVID-19 ha puesto en emergencia sanitaria al mundo. La búsqueda de información a través de internet refleja en gran medida el interés de las personas acerca de esta pandemia. El presente estudio tuvo como objetivo determinar la asociación entre el volumen relativo de búsqueda del término combinado [coronavirus + covid-19 + "nuevo coronavirus" + covid + SARS-CoV-2] y el número de casos confirmados y de muertes diarias por la COVID-19. Se utilizó Google TrendsTM para proporcionar datos sobre el volumen relativo de búsqueda en Google de los términos seleccionados y compararlos con el número de casos confirmados y de muertes diarias por la COVID-19 en los 10 países más afectados de Latinoamérica, reportados por el panel de control de la Organización Mundial de la Salud. El período de evaluación fue del 01 de enero al 14 de junio del año 2020. Para obtener la asociación de las variables cuantitativas se utilizó el coeficiente de correlación de Spearman, con un nivel de significancia (p&#8804; 0,05). Se encontró una correlación positiva y significativa (p&lt; 0,001) entre el volumen relativo de búsqueda del término combinado con el número de casos confirmados y de muertes cada día por la COVID-19. Por lo tanto, se puede utilizar un modelo basado en el interés de búsqueda en internet para predecir el desarrollo y el momento pico del brote de la COVID-19.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Coronavirus disease 2019 (COVID-19) has put the world in a health emergency. The search for information through the Internet largely reflects the interest of people in this pandemic. The present study aimed to determine the association between the relative search volume of the combined term [coronavirus + covid-19 + "new coronavirus" + covid + SARS-CoV-2], and the number of confirmed cases and daily deaths from the COVID-19. Google TrendsTM was used to provide data on the relative search volume in Google for the selected terms and compare it with the number of confirmed cases and daily deaths from COVID-19 in the 10 most affected countries in Latin America, reported by the control panel of the World Health Organization on COVID-19 disease. The evaluation period was from January 01 to June 14, 2020. To obtain the relationship between quantitative variables, the Spearman correlation coefficient was used, with a level of significance (p&#8804; 0.05). A positive and significant correlation (p&lt; 0.001) was found between the relative search volume of the term combined with the number of confirmed cases and deaths by day because of COVID-19. Therefore, an interest-based internet search model can be used to predict the development and peak timing of the COVID-19 outbreak.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Coronavirus]]></kwd>
<kwd lng="es"><![CDATA[casos confirmados]]></kwd>
<kwd lng="es"><![CDATA[muertes]]></kwd>
<kwd lng="es"><![CDATA[Google Trends]]></kwd>
<kwd lng="es"><![CDATA[Latinoamérica]]></kwd>
<kwd lng="es"><![CDATA[pandemia]]></kwd>
<kwd lng="es"><![CDATA[salud pública]]></kwd>
<kwd lng="en"><![CDATA[Coronavirus]]></kwd>
<kwd lng="en"><![CDATA[confirmed cases]]></kwd>
<kwd lng="en"><![CDATA[deaths]]></kwd>
<kwd lng="en"><![CDATA[Google Trends]]></kwd>
<kwd lng="en"><![CDATA[Latin America]]></kwd>
<kwd lng="en"><![CDATA[pandemic]]></kwd>
<kwd lng="en"><![CDATA[public health]]></kwd>
</kwd-group>
</article-meta>
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