<?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>S2307-21132022000100008</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis de publicaciones y comentarios sobre la ivermectina en Facebook durante la pandemia del COVID-19 en Perú]]></article-title>
<article-title xml:lang="en"><![CDATA[Analysis of Facebook publications and comments about ivermectin during the COVID-19 pandemic in Peru]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mujica Rodríguez]]></surname>
<given-names><![CDATA[Iván Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Condor Camara]]></surname>
<given-names><![CDATA[Daniel Flavio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[de la Cruz]]></surname>
<given-names><![CDATA[Lewis]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Estefanía Montero]]></surname>
<given-names><![CDATA[Andrea]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bacilio Ruiz]]></surname>
<given-names><![CDATA[Anthony]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reyes Solari]]></surname>
<given-names><![CDATA[Esperanza]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Unidad de Informática Biomédica Facultad de Salud Pública y Administración Universidad Peruana &#8220;Cayetano Heredia&#8221;]]></institution>
<addr-line><![CDATA[ Lima]]></addr-line>
<country>Perú</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Peruana &#8220;Cayetano Heredia&#8221; Facultad de Salud Pública y Administración ]]></institution>
<addr-line><![CDATA[ Lima]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2022</year>
</pub-date>
<volume>33</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2307-21132022000100008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2307-21132022000100008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2307-21132022000100008&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Los datos de acceso público en plataformas de redes sociales se pueden utilizar para identificar percepciones, actitudes y sentimientos en relación con la COVID-19; ello puede ser útil para formular políticas de estado y enfrentar adecuadamente la emergencia. El presente trabajo tuvo por objetivo analizar las publicaciones y percepciones de los usuarios a través de sus comentarios en Facebook sobre el fármaco ivermectina durante la pandemia de COVID-19 en Perú. Las publicaciones y sus comentarios fueron seleccionados mediante búsqueda manual, utilizando los términos: &#8220;ivermectina&#8221; e &#8220;#ivermectina&#8221;, en julio de 2020. Su interpretación se efectuó por análisis de contenido cualitativo convencional, con proceso inductivo y apoyado por literatura científica. Se encontraron 17 publicaciones realizadas entre el 18 de mayo y 7 de julio del 2020, clasificadas en 5 temáticas: rumores (58,8 %), basadas en evidencia científica (11,8 %), precaución (11,8 %), producción del fármaco (11,8 %) y confrontación (5,9 %). El 70,0 % de los rumores surgieron de páginas de medios de comunicación. Los comentarios se clasificaron, según percepciones de los usuarios hacia la ivermectina, en cuatro temas: ivermectina como &#8220;cura efectiva&#8221; (64,8 %), solicitud de información (25,3 %), en contra del consumo de ivermectina (6,3 %) y otros tratamientos (3,6 %). Más de la mitad de la información sobre ivermectina en Facebook aparece en &#8220;rumores&#8221;, en su mayoría originados por páginas de medios de comunicación. Entre los comentarios se destaca la percepción de los usuarios que la consideran &#8220;cura efectiva&#8221; contra la COVID-19.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The purpose of the study was to analyze Facebook publications and perceptions of users, expressed in their comments, about the drug ivermectin during the COVID-19 pandemic in Peru. The publications and their comments were selected by manual search using the terms &#8220;ivermectin&#8221; and &#8220;#ivermectin&#8221; in July 2020. Interpretation of publications and their comments was performed by conventional qualitative content analysis with inductive processing and supported by scientific literature. A total 17 publications were retrieved from the period extending from 18 May to 7 July 2020. These were classified into five topics: rumors (58.8%), based on scientific evidence (11.8%), caution (11.8%), production of the drug (11.8%) and confrontation (5.9%). Paradoxically, 70.0% of the rumors were spread by mass media pages. Comments, on the other hand, were classified into four topics based on user perceptions: ivermectin as &#8220;effective cure&#8221; (64.8%), request for information about ivermectin (25.3%), against the use of ivermectin (6.3%) and other treatments (3.6%). As a conclusion, it was found that more than half of the information about ivermectin circulating in Facebook publications is classified as &#8220;rumors&#8221;, and most is spread by mass media pages. Analysis of the comments found that user perception considers ivermectin to be the &#8220;effective cure&#8221; against COVID-19.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[ivermectina]]></kwd>
<kwd lng="es"><![CDATA[red social]]></kwd>
<kwd lng="es"><![CDATA[percepción social]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[Perú]]></kwd>
<kwd lng="en"><![CDATA[ivermectin]]></kwd>
<kwd lng="en"><![CDATA[social network]]></kwd>
<kwd lng="en"><![CDATA[social perception]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[Peru]]></kwd>
</kwd-group>
</article-meta>
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