<?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>2448-6655</journal-id>
<journal-title><![CDATA[Análisis económico]]></journal-title>
<abbrev-journal-title><![CDATA[Anál. econ.]]></abbrev-journal-title>
<issn>2448-6655</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma Metropolitana, Unidad Azcapotzalco, División de Ciencias Sociales y Humanidades]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2448-66552024000200181</article-id>
<article-id pub-id-type="doi">10.24275/uam/azc/dcsh/ae/2024v39n101/millan</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Imágenes satelitales y COVID-19: Predicción de contagios a través de la luminosidad nocturna]]></article-title>
<article-title xml:lang="en"><![CDATA[Satellite images and COVID-19: Predicting infections through nighttime lights]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Millán López]]></surname>
<given-names><![CDATA[Andrés Jerson]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guizar]]></surname>
<given-names><![CDATA[Isai]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Guadalajara Departamento de Métodos Cuantitativos ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Guadalajara Departamento de Economía ]]></institution>
<addr-line><![CDATA[Zapopan Jalisco]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<volume>39</volume>
<numero>101</numero>
<fpage>181</fpage>
<lpage>196</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2448-66552024000200181&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2448-66552024000200181&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2448-66552024000200181&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La efectividad de las políticas implementadas durante la pandemia del COVID-19 es relevante, tanto para evaluar el impacto ocasionado, como para derivar lecciones de política en el caso de que este tipo de fenómenos se repitan. El objetivo de este documento es determinar la relación entre la actividad humana y los contagios de COVID-19 reportados. Para medir la actividad humana se genera una métrica de luminosidad nocturna empleando imágenes satelitales. Mediante un análisis de cointegración se demuestra que existe de una relación de equilibrio a largo plazo y, empleando pruebas de causalidad, que es factible predecir los contagios por COVID-19 a partir de los cambios en la luminosidad. Con modelos econométricos para series de tiempo se demuestra que los contagios por COVID-19 responden a los cambios de luminosidad con alta significancia estadística y hasta con dos semanas de retraso, esto implica que la intensidad de la actividad que sucedía en el momento presente habría sido útil para planificar los recursos que serían necesarios dos semanas posteriores.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The effectiveness of the policies implemented during the COVID-19 pandemic is relevant both for assessing the impact caused and for deriving policy lessons in case such phenomena recur. The main objective here is to determine the relationship between human activity and reported COVID-19 cases. To measure human activity, a metric of nighttime lights is generated using satellite images. Conducting cointegration tests we found a long-term equilibrium relationship between the two variables, and through causality tests we confirmed that it is feasible to predict COVID-19 infections from changes in nighttime lights. Using econometric models for time series, it is shown that COVID-19 infections respond to changes in nighttime lights with high statistical significance and with a lag of up to two weeks, implying that the intensity of human activity that was happening now would have been useful for planning the resources that would be necessary two weeks later.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Políticas de COVID19]]></kwd>
<kwd lng="es"><![CDATA[Luminosidad nocturna]]></kwd>
<kwd lng="es"><![CDATA[Actividad humana]]></kwd>
<kwd lng="es"><![CDATA[Predicción]]></kwd>
<kwd lng="en"><![CDATA[Bank profitability]]></kwd>
<kwd lng="en"><![CDATA[Microeconomic variables]]></kwd>
<kwd lng="en"><![CDATA[Macroeconomic variables]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
</kwd-group>
</article-meta>
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<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Liang]]></surname>
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<name>
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<given-names><![CDATA[L.]]></given-names>
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</person-group>
<article-title xml:lang=""><![CDATA[Lockdown induced night-time light dynamics during the COVID-19 epidemic in global megacities]]></article-title>
<source><![CDATA[International Journal of Applied Earth Observation and Geoinformation]]></source>
<year>2021</year>
<volume>102</volume>
<page-range>102421</page-range></nlm-citation>
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</article>
