<?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>1561-3003</journal-id>
<journal-title><![CDATA[Revista Cubana de Higiene y Epidemiología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Cubana Hig Epidemiol]]></abbrev-journal-title>
<issn>1561-3003</issn>
<publisher>
<publisher-name><![CDATA[Centro Nacional de Información de Ciencias MédicasEditorial Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1561-30032020000100017</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Tendencias de búsquedas en internet por la pandemia COVID-19 en Perú]]></article-title>
<article-title xml:lang="en"><![CDATA[Web search trends in the context of the COVID-19 pandemic in Peru]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Iglesias-Osores]]></surname>
<given-names><![CDATA[Sebastián]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Saavedra-Camacho]]></surname>
<given-names><![CDATA[Johnny Leandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Pedro Ruiz Gallo Facultad de Ciencias Biológicas ]]></institution>
<addr-line><![CDATA[ Lambayeque]]></addr-line>
<country>Perú</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<volume>57</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1561-30032020000100017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1561-30032020000100017&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1561-30032020000100017&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN En esta comunicación nos proponemos describir el uso de Google Trends para medir las búsquedas en internet de términos asociados a la pandemia por COVID-19 en distintas regiones de Perú y su potencial para realizar investigaciones en salud. Se midió la tendencia de búsquedas en internet de los términos &#8220;covid&#8221;, &#8220;lavado de manos&#8221;, &#8220;mascarillas&#8221;, &#8220;distanciamiento&#8221; y &#8220;sars-cov-2&#8221;.en el período entre el 27 de febrero al 27 de mayo de 2020 Se utilizaron los datos de Google Trends sobre una fracción de las búsquedas de las palabras clave, y se analizaron los resultados de acuerdo con una ubicación geográfica dada y un período definido. Para el término &#8220;covid&#8221; y &#8220;lavado de manos&#8221; la región con mayor nivel de interés fue Huancavelica con 100 búsquedas en cada término. Para el vocablo &#8220;mascarillas&#8221; predominó la región de Amazonas, también con 100 búsquedas. Igual condición se encontró en Moquegua y Puno para los términos &#8220;distanciamiento&#8221; y &#8220;sars-cov-2&#8221;, respectivamente. Se encontró fuerte correlación entre covid, mascarillas, distanciamiento con el número de casos de COVID-19 en Perú y la misma situación pero con correlación ligeramente positiva para sars-cov-2 y lavado de manos. Google Trends podría, además, definir potencialmente el momento y la ubicación adecuada para practicar estrategias de comunicación de riesgos a las poblaciones afectadas. La comunicación adecuada del riesgo puede ayudar a prevenir la cantidad excesiva de información circulante, que suele provocar inquietud o pánico en estas poblaciones.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The purpose of the present communication is to describe the use of Google Trends to measure web searches for terms associated to the COVID-19 pandemic in different regions of Peru and its potential to conduct health research. Measurements were taken of the trend of web searches for the terms "COVID", "handwashing", "facemasks", "distancing" and "SARS-CoV-2" in the period extending from 27 February to 27 May 2020. Google Trends data were applied to a number of the key word searches examined, and results were analyzed according to specific geographic locations and definite time periods. For the terms "COVID" and "handwashing" the region of greatest interest was Huancavelica with 100 searches for each term. For the term "facemasks" the Amazonas Region stood out, also with 100 searches. A similar situation was observed in Moquegua and Puno for the terms "distancing" and "SARS-CoV-2", respectively. A strong correlation was found between "COVID", "facemasks" and "distancing", and the number of COVID-19 cases in Peru. The same applies, though with a slightly positive correlation, to "SARS-CoV-2" and "handwashing". Google Trends could also potentially define the appropriate moment and location to implement risk communication strategies intended for the populations affected. Adequate risk communication may help prevent the excessive amount of information in circulation, which often causes disquiet or panic in those populations.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Google Trends]]></kwd>
<kwd lng="es"><![CDATA[comunicación de riesgos]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[Perú]]></kwd>
<kwd lng="en"><![CDATA[Google Trends]]></kwd>
<kwd lng="en"><![CDATA[risk communication]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[Peru]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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