<?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>1870-6622</journal-id>
<journal-title><![CDATA[EconoQuantum]]></journal-title>
<abbrev-journal-title><![CDATA[EconoQuantum]]></abbrev-journal-title>
<issn>1870-6622</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Guadalajara]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1870-66222021000200001</article-id>
<article-id pub-id-type="doi">10.18381/eq.v18i2.7227</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Aislamiento social y el COVID-19 en las regiones de México]]></article-title>
<article-title xml:lang="en"><![CDATA[Social isolation and COVID-19 in the regions of Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rangel González]]></surname>
<given-names><![CDATA[Erick]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Llamosas-Rosas]]></surname>
<given-names><![CDATA[Irving]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fonseca]]></surname>
<given-names><![CDATA[Felipe J.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Banco de México  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>18</volume>
<numero>2</numero>
<fpage>1</fpage>
<lpage>22</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1870-66222021000200001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1870-66222021000200001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1870-66222021000200001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen:   Objetivo:  Utilizando información a partir de los Informes de Movilidad elaborados por Google, particularmente el relacionado con la estadía residencial, se estima el efecto del aislamiento social sobre los contagios y defunciones por COVID-19 en los estados mexicanos.  Metodología:  Se emplea un modelo econométrico dinámico el cual toma en consideración la potencial endogeneidad en el registro de contagios nuevos, así como el efecto rezagado que tiene la variable de aislamiento.  Resultados:  Los hallazgos indican una relación negativa y significativa entre la estadía residencial y la tasa de crecimiento de los contagios y defunciones. Adicionalmente, se utiliza este modelo para realizar simulaciones de los posibles efectos del nivel de distanciamiento social sobre los niveles de contagios y muertes generados por la pandemia de COVID-19 hasta el 5 de julio.  Limitaciones:  El estudio analiza la relación entre el distanciamiento social y los contagios, y las muertes causadas por COVID-19, pero no toma en consideración los costos económicos asociados (tales como reducciones en la producción y el empleo).  Originalidad:  Hasta donde sabemos, se trata del primer estudio para el caso de México que mide el efecto del aislamiento sobre los contagios y defunciones por COVID-19 en el nivel regional.  Conclusiones:  Acorde con las simulaciones realizadas, se estima que de haberse registrado índices mayores de aislamiento social, se hubiesen registrado entre 135 000 y 143 000 contagios menos de COVID-19.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract:  Objective:  Using information from the Google Mobility Report, particularly the one related to residential stay, we estimated the effect of social distancing on new cases and deaths from COVID-19 in the Mexican States.  Methodology:  We employ a dynamic econometric model which takes into account the potential endogeneity in the registration of new cases, as well as the lagged effect of the social distancing variable.  Results:  The findings indicate a negative and significant relationship between residential stay and the growth rate of cases and deaths. Moreover, the proposed econometric model is used to perform simulations of the possible effects of the level of social distancing on the levels of cases and deaths generated by the COVID-19 pandemic in Mexico until July the 5th.  Limitations:  The study does not take into account the economic costs associated with higher levels of social distancing.  Originality:  To the best of our knowledge, this is the first study for the case of Mexico that analyze the effect of social distancing on infections and deaths from COVID-19 at the regional level.  Conclusion:  According to the models, it is estimated that if there had been higher rates of social distancing, between 135 000 and 143 000 fewer cases of COVID-19 would have been registered.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Aislamiento social]]></kwd>
<kwd lng="es"><![CDATA[contagios y defunciones]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[Social distancing]]></kwd>
<kwd lng="en"><![CDATA[contagion and deaths]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
</kwd-group>
</article-meta>
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