<?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>S1028-99332021000100006</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Movilidad en ciudades de Perú durante la pandemia de COVID-19]]></article-title>
<article-title xml:lang="en"><![CDATA[Mobility in cities of Peru during the COVID-19 pandemic]]></article-title>
<article-title xml:lang="pt"><![CDATA[Mobilidade em cidades do Peru durante a pandemia COVID-19]]></article-title>
</title-group>
<contrib-group>
<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[Iglesias-Osores]]></surname>
<given-names><![CDATA[Sebastian]]></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 Pedro Ruiz Gallo  ]]></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>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>02</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>02</month>
<year>2021</year>
</pub-date>
<volume>100</volume>
<numero>1</numero>
<fpage>1</fpage>
<lpage>8</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1028-99332021000100006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1028-99332021000100006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1028-99332021000100006&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción: Los datos de movilidad en tiempo real de Wuhan, China, y datos de casos detallados, incluido el historial de viajes, para determinar el impacto de las medidas de control, fue de vital importancia para el control de la COVID-19.  Objetivo:  Analizar los casos reportados en los cinco regiones más afectadas de Perú por la COVID-19 y la correlacion con los datos de movilidad.  Método:  Se incluyeron los datos de los casos confirmados de COVID-19 que fueron obtenidos del Centro Nacional de Epidemiologia, Prevención y Control de Enfermedades de Perú (https://www.dge.gob.pe/), en el periodo desde 6 de emarzo hasta el 17 de agosto de 2020, y se seleccionaron las regiones con mayor cantidad de casos (CDC-Peru) (Arequipa, Callao, Lima, Lambayeque y Piura). Los datos de movilidad fueron obtenidos de los Informes de Movilidad Local (Community Mobility Reports-Google Mobility Reports) (https://www.google.com/covid19/mobility/) del Perú y se descargaron en un archivo CSV. Las categorias incluidas de los reportes de movilidad fueron: tiendas minoristas y ocio, estaciones de transporte público, lugares de trabajo y zonas residenciales.  Resultados:  Se analizaron 165 datos encontrados en Google Mobility Reports, estos tenían una frecuencia diaria de datos, la misma cantidad de datos fue obtenida del CDC-Perú. Se observó una caída de todos los lugares estudiados menos de las zonas residenciales a nivel país. En cuanto a las asociaciones se encontró una correlacion negativa solo en las zonas residenciales.  Conclusión:  Hubo una reducción de movilidad dada por la cuarentena y un factor protector para evitar contagios es el permanecer en casa.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  Real-time mobility data from Wuhan, China, and detailed case data, including travel history, was of vital importance for the control of COVID-19, in order to determine the impact of control measures.  Objective:  To analyze the cases reported in the five most affected regions by COVID-19 in Peru, and its correlation with mobility data.  Method:  Data of the confirmed cases of COVID-19 obtained from the Centro Nacional de Epidemiologia, Prevención y Control de Enfermedades de Perú (National Center for Epidemiology, Prevention and Control of Diseases of Peru) (https://www.dge.gob.pe/) in the period from 6 From March until August 17, 2020 were included; and the regions with the highest number of cases (CDC-Peru) (Arequipa, Callao, Lima, Lambayeque and Piura) were selected. The mobility data was obtained from the Local Mobility Reports (Community Mobility Reports-Google Mobility Reports) (https://www.google.com/covid19/mobility/) of Peru and downloaded in a CSV file. The categories included in the mobility reports were: retail stores and leisure, public transport stations, workplaces and residential areas.  Results:  165 data found in Google Mobility Reports were analyzed; these having a daily data frequency. The same amount of data was obtained from the CDC-Peru. A drop was observed in all places studied except for residential areas in the country. Regarding associations, a negative correlation was found only in residential areas.  Conclusion:  There was a reduction in mobility due to quarantine, and staying at home is a factor to avoid infections.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[RESUMO  Introdução: Dados de mobilidade em tempo real de Wuhan, China, e dados detalhados de casos, incluindo histórico de viagens, para determinar o impacto das medidas de controle, foram de vital importância para o controle do COVID-19.  Objetivo:  Analisar os casos notificados nas cinco regiões mais afetadas pelo COVID-19 no Peru e a correlação com os dados de mobilidade.  Método:  Foram incluídos os dados dos casos confirmados de COVID-19 obtidos do Centro Nacional de Epidemiologia, Prevención y Control de Enfermedades de Perú (https://www.dge.gob.pe/), no período desde 6 de março até 17 de agosto de 2020, sendo selecionadas as regiões com maior número de casos (CDC-Peru) (Arequipa, Callao, Lima, Lambayeque e Piura). Os dados de mobilidade foram obtidos dos Relatórios de Mobilidade Local (Community Mobility Reports-Google Mobility Reports) (https://www.google.com/covid19/mobility/) do Peru e baixado em um arquivo CSV. As categorias incluídas nos relatórios de mobilidade foram: lojas de varejo e lazer, estações de transporte público, locais de trabalho e áreas residenciais.  Resultados:  Foram analisados 165 dados encontrados no Google Mobility Reports, estes tinham uma frequência de dados diária, a mesma quantidade de dados foi obtida do CDC-Peru. Uma queda foi observada em todos os locais estudados, exceto para áreas residenciais em nível de país. Em relação às associações, foi encontrada correlação negativa apenas nas áreas residenciais.  Conclusões:  Houve redução da mobilidade devido à quarentena e um fator de proteção para evitar o contágio é a permanência em casa.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[informes de movilidad]]></kwd>
<kwd lng="es"><![CDATA[Google]]></kwd>
<kwd lng="es"><![CDATA[Perú]]></kwd>
<kwd lng="es"><![CDATA[tendencias]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[mobility reports]]></kwd>
<kwd lng="en"><![CDATA[Google, Peru]]></kwd>
<kwd lng="en"><![CDATA[trends]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="pt"><![CDATA[relatórios de mobilidade]]></kwd>
<kwd lng="pt"><![CDATA[Google]]></kwd>
<kwd lng="pt"><![CDATA[Peru]]></kwd>
<kwd lng="pt"><![CDATA[tendências]]></kwd>
<kwd lng="pt"><![CDATA[COVID-19]]></kwd>
</kwd-group>
</article-meta>
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