<?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>S1028-99332021000300001</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Dióxido de cloro y su repercusión en las tendencias de búsquedas en internet durante la pandemia por la COVID-19]]></article-title>
<article-title xml:lang="en"><![CDATA[Chlorine dioxide: its impact on internet search trends in times of COVID-19]]></article-title>
<article-title xml:lang="pt"><![CDATA[Dióxido de cloro e seu impacto nas tendências de pesquisa da Internet durante a pandemia de COVID-19]]></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 contrib-type="author">
<name>
<surname><![CDATA[Alcántara-Mimbela]]></surname>
<given-names><![CDATA[Miguel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Córdova-Rojas]]></surname>
<given-names><![CDATA[Lizbeth Maribel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional &#8220;Pedro Ruiz Gallo&#8221;  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Perú</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional de Jaén  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Perú</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2021</year>
</pub-date>
<volume>100</volume>
<numero>3</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1028-99332021000300001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1028-99332021000300001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1028-99332021000300001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  El creciente número de casos de COVID-19 a nivel mundial han dado paso al deterioro de la de salud mental y la investigación de nuevos tratamientos; esto ha dado lugar a una explosión de búsquedas en internet de palabras clave.  Objetivo:  En esta investigación se ha descrito 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.  Método:  Se midió la tendencia de búsquedas en internet del término &#8220;dioxido de cloro&#8221; en el período entre el 3 de junio al 3 de septiembre 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.  Resultados:  Se encontró que los países que presentaron mayor nivel de búsqueda para dicho término fueron Bolivia, Perú, Ecuador, Argentina y México. Se encontró correlación positiva alta entre el nivel de búsqueda en Argentina y el número de casos en este país, a comparación de Perú, Ecuador y México, donde la correlación fue positiva muy baja. En el caso de Bolivia, se presentó una correlación negativa muy baja. Google Trends podría, además, definir potencialmente el momento y la ubicación adecuada para practicar estrategias de comunicación de riesgos a las poblaciones afectadas.  Conclusiones:  Existe correlación entre en número de casos y las búsquedas de dióxido de cloro como medida médica contra la COVID-19.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction: The increasing worldwide number of cases of COVID-19 has led to the deterioration of mental health and researches of new treatments; this has resulted in an explosion of keyword searches on Internet.  Objective:  This research has described the use of Google Trends to measure the search queries in internet for terms associated with the COVID-19 pandemic in different regions of Peru as well as its potential to conduct research on health aspects.  Method:  It was measured the search trends in internet for the term "chlorine dioxide" in the period from June 3 to September 3, 2020. Google trends data were used on a fraction of the keyword searches, and the outcomes were analyzed according to the geographic location and defined period.  Results:  It was found a higher tendency of searching related terms in Bolivia, Perú, Ecuador, Argentina, and México. A high positive correlation was found between the level of search in Argentina and the number of COVID-19 cases in this country, unlike Peru, Ecuador and Mexico, where the correlation was very low. Instead, in Bolivia there was a very low negative correlation. Google Trends could also potentially define the appropriate time and location to practice risk communication strategies to affected populations.  Conclusions:  An appropriate risk communication could help to prevent the excessive information intakes, which often causes concern or panic in different populations.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[RESUMO  Introdução:  O crescente número de casos de COVID-19 em todo o mundo tem dado lugar à deterioração da saúde mental e à investigação de novos tratamentos; Isso levou a uma explosão de pesquisas de palavras-chave na Internet.  Objetivo:  Esta pesquisa descreveu o uso do Google Trends para medir buscas na internet por termos associados à pandemia COVID-19 em diferentes regiões do Peru e seu potencial para a realização de pesquisas em saúde.  Método:  A tendência das pesquisas na internet do termo &#8220;dióxido de cloro&#8221; foi medida no período entre 3 de junho e 3 de setembro de 2020. Os dados do Google Trends foram usados &#8203;&#8203;em uma fração das pesquisas pelas palavras-chave, e os resultados foram analisados &#8203;&#8203;de acordo com uma determinada localização geográfica e um período definido.  Resultados:  Constatou-se que os países com maior nível de busca por esse termo foram Bolívia, Peru, Equador, Argentina e México. Foi encontrada uma alta correlação positiva entre o nível de pesquisa na Argentina e o número de casos neste país, em comparação com Peru, Equador e México, onde a correlação foi muito baixa positiva. No caso da Bolívia, houve uma correlação negativa muito baixa. O Google Trends também pode definir o momento e o local certos para praticar estratégias de comunicação de risco para as populações afetadas.  Conclusões:  Há correlação entre o número de casos e as pesquisas de dióxido de cloro como medida médica contra o COVID-19.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[dióxido de cloro]]></kwd>
<kwd lng="es"><![CDATA[Google Trends]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[tendencia]]></kwd>
<kwd lng="es"><![CDATA[Internet]]></kwd>
<kwd lng="en"><![CDATA[chlorine dioxide]]></kwd>
<kwd lng="en"><![CDATA[Google Trends]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[trend]]></kwd>
<kwd lng="en"><![CDATA[Internet]]></kwd>
<kwd lng="pt"><![CDATA[dióxido de cloro]]></kwd>
<kwd lng="pt"><![CDATA[tendências do Google]]></kwd>
<kwd lng="pt"><![CDATA[COVID-19]]></kwd>
<kwd lng="pt"><![CDATA[tendência]]></kwd>
<kwd lng="pt"><![CDATA[Internet]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Whitworth]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[COVID-19 a fast evolving pandemic]]></article-title>
<source><![CDATA[Trans R Soc Trop Med Hyg]]></source>
<year>2020</year>
<volume>114</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>241-8</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Meselson]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Droplets and aerosols in the transmission of SARS-CoV-2]]></article-title>
<source><![CDATA[N Engl J Med]]></source>
<year>2020</year>
<volume>382</volume>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Acosta-Quiroz]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Iglesias-Osores]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Salud mental en trabajadores expuestos a COVID-19]]></article-title>
<source><![CDATA[Rev Neuropsiquiatr]]></source>
<year>2020</year>
<volume>83</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gupta]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Sahoo]]></surname>
<given-names><![CDATA[AK]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ivermectin: potential candidate for the treatment of Covid 19]]></article-title>
<source><![CDATA[Brazilian J Infect Dis]]></source>
<year>2020</year>
<volume>24</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>369-71</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Iglesias-Osores]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Saavedra-Camacho]]></surname>
<given-names><![CDATA[JL.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Aplicaciones de búsqueda de Google para la comunicación de riesgos en el manejo de la COVID-19]]></article-title>
<source><![CDATA[Rev Cienc Méd Pinar del Río]]></source>
<year>2020</year>
<volume>24</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Iglesias-Osores]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Saavedra-Camacho]]></surname>
<given-names><![CDATA[JL.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Tendencias de búsquedas en internet por la pandemia COVID-19 en Perú]]></article-title>
<source><![CDATA[Rev Cubana Hig Epidemiol]]></source>
<year>2020</year>
<volume>57</volume>
<numero>2020</numero>
<issue>2020</issue>
</nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Acosta-Quiroz]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Iglesias-Osores]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[COVID-19: Desinformación en redes sociales]]></article-title>
<source><![CDATA[Rev Cuerpo Méd HNAAA]]></source>
<year>2020</year>
<volume>13</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>218-9</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Keskinen]]></surname>
<given-names><![CDATA[LA]]></given-names>
</name>
<name>
<surname><![CDATA[Burke]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Annous]]></surname>
<given-names><![CDATA[BA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficacy of chlorine, acidic electrolyzed water and aqueous chlorine dioxide solutions to decontaminate Escherichia coli O157 H7 from lettuce leaves]]></article-title>
<source><![CDATA[Int J Food Microbiol]]></source>
<year>2009</year>
<volume>132</volume>
<page-range>134-40</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Madlala]]></surname>
<given-names><![CDATA[AM]]></given-names>
</name>
<name>
<surname><![CDATA[Bissoon]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Christov]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Xylanase-induced reduction of chlorine dioxide consumption during elemental chlorine-free bleaching of different pulp types]]></article-title>
<source><![CDATA[Biotechnol Lett]]></source>
<year>2001</year>
<volume>23</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>345-51</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cervellin]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Comelli]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Lippi]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Is Google Trends a reliable tool for digital epidemiology Insights from different clinical settings]]></article-title>
<source><![CDATA[J Epidemiol Glob Health]]></source>
<year>2017</year>
<volume>7</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>185-9</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chire Saire]]></surname>
<given-names><![CDATA[JE]]></given-names>
</name>
<name>
<surname><![CDATA[Lemus-Martin]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Analysis of internet trends related to medications for COVID-19 in ten countries with the highest number of cases]]></article-title>
<source><![CDATA[MedRxiv]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Malaty Rivera]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Gupta]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Ramjee]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[El Hayek]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[El Amiri]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Desai]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluating Interest in Off-Label Use of Disinfectants for COVID-19 with Google Trends]]></article-title>
<source><![CDATA[SSRN Electron J]]></source>
<year>2020</year>
<volume>4</volume>
<numero>7</numero>
<issue>7</issue>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Chiu]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Google searches for the keywords of "wash hands" predict the speed of national spread of COVID-19 outbreak among 21 countries]]></article-title>
<source><![CDATA[Brain Behav Immun]]></source>
<year>2020</year>
<volume>87</volume>
<page-range>30-2</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
