<?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>S2307-21132022000100001</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Líderes de opinión digital en tiempos de pandemia: el rol de la Asociación Nacional de Informadores de la Salud en Twitter frente al COVID-19]]></article-title>
<article-title xml:lang="en"><![CDATA[Digital opinion leaders in the time of COVID-19: the role of the National Association of Health Reporters on Twitter in the struggle against the pandemic]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martín Cárdaba]]></surname>
<given-names><![CDATA[Miguel Ángel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Carrasco Polaino]]></surname>
<given-names><![CDATA[Rafael]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cuesta Cambra]]></surname>
<given-names><![CDATA[Ubaldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Villanueva Facultad de Comunicación ]]></institution>
<addr-line><![CDATA[ Madrid]]></addr-line>
<country>España</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Complutense de Madrid Facultad de Ciencias de la Información Departamento de Periodismo y Nuevos Medios]]></institution>
<addr-line><![CDATA[ Madrid]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Complutense de Madrid Cátedra de Comunicación y Salud Departamento de Comunicación Audiovisual y Publicidad]]></institution>
<addr-line><![CDATA[ Madrid]]></addr-line>
<country>Spain</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=S2307-21132022000100001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2307-21132022000100001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2307-21132022000100001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La Asociación Nacional de Informadores de la Salud constituye una de las mayores asociaciones de prensa sectorial de España, con más de 700 miembros. Durante la crisis del COVID-19, su función en la gestión y difusión de información puede considerarse fundamental. El objetivo general de esta investigación fue analizar cómo se produce la comunicación entre los miembros de la Asociación Nacional de Informadores de la Salud en torno al COVID-19 en Twitter. Se descargaron todos los tuits e interacciones entre los asociados y se analizó la red generada por estos; se identificó a los miembros más influyentes a través de medidas de centralidad y se examinó el contenido de los tuits con mayor difusión y engagement. Tras identificar expresiones que aparecían con mayor frecuencia, se hizo un análisis semántico para extraer los temas más relevantes. Los datos mostraron una red poco cohesionada, donde los usuarios interactúan poco entre sí. Tanto la Asociación como sus miembros, se centran mayoritariamente en la difusión de mensajes fomentadores de concienciación, con información relevante relacionada con la enfermedad, la formación, la denuncia social y el humor. Un uso más coordinado e interactivo de la red social por parte de los miembros de la Asociación, sería deseable para aumentar el alcance y la difusión de sus mensajes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The National Association of Health Informants is one of the largest sectoral press associations in Spain, with more than 700 members. During the COVID-19 crisis, its role in the management and dissemination of information can be considered fundamental. The overall objective of this research was to analyze how communication occurs between members of the National Association of Health Informants regarding COVID-19 on Twitter. All tweets and interactions between associates were downloaded and the network generated by them was analyzed; the most influential members were identified through measures of centrality and the content of the tweets with the highest diffusion and engagement was examined. After identifying expressions that appeared more frequently, a semantic analysis was made to extract the most relevant topics. The data showed a poorly cohesive network, where users interact little with each other. Both the Association and its members focus mainly on the dissemination of awareness-raising messages, with relevant information related to the disease, training, social denunciation and humor. A more coordinated and interactive use of the social network by the members of the Association would be desirable to increase the reach and dissemination of their messages.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[coronavirus]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[análisis de redes]]></kwd>
<kwd lng="es"><![CDATA[Twitter]]></kwd>
<kwd lng="es"><![CDATA[líderes de opinión digital]]></kwd>
<kwd lng="es"><![CDATA[desinformación]]></kwd>
<kwd lng="es"><![CDATA[engagement]]></kwd>
<kwd lng="en"><![CDATA[coronavirus]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[network analysis]]></kwd>
<kwd lng="en"><![CDATA[Twitter]]></kwd>
<kwd lng="en"><![CDATA[digital opinion leaders]]></kwd>
<kwd lng="en"><![CDATA[misinformation]]></kwd>
<kwd lng="en"><![CDATA[engagement]]></kwd>
</kwd-group>
</article-meta>
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