<?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>0188-4611</journal-id>
<journal-title><![CDATA[Investigaciones geográficas]]></journal-title>
<abbrev-journal-title><![CDATA[Invest. Geog]]></abbrev-journal-title>
<issn>0188-4611</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Geografía]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0188-46112025000100108</article-id>
<article-id pub-id-type="doi">10.14350/rig.60966</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Dinámica espaciotemporal de la mortalidad por COVID-19 en México de 2020 a 2022]]></article-title>
<article-title xml:lang="en"><![CDATA[Space-time dynamics of COVID-19 mortality in Mexico from 2020 to 2022]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez Carrillo]]></surname>
<given-names><![CDATA[Christian Ivan]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Santana Castañeda]]></surname>
<given-names><![CDATA[Giovanna]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Quentin]]></surname>
<given-names><![CDATA[Emmanuelle]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma del Estado de México Facultad de Geografía ]]></institution>
<addr-line><![CDATA[Toluca ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma del Estado de México Facultad de Geografía ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad UTE Facultad de Ciencias de la Salud "Eugenio Espejo" ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<numero>116</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-46112025000100108&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-46112025000100108&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-46112025000100108&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este estudio analiza la dinámica espaciotemporal de la mortalidad por COVID-19 en México entre marzo de 2020 y diciembre de 2022, mediante el cálculo de la serie temporal de muertes mensuales y la estimación de las tasas crudas de mortalidad por COVID-19 de 2020, 2021 y 2022 a nivel de municipio. Además, se emplea la estadística de exploración espaciotemporal para identificar conglomerados de alta mortalidad. Se identificaron cinco olas de mortalidad por COVID-19. La segunda ola, ocurrida entre noviembre de 2020 y junio de 2021, fue la más severa, alcanzando su pico máximo en enero de 2021 con 39 151 decesos. La distribución espacial de las tasas en 2020 y 2021 resultó heterogénea, mientras que en 2022 el 87.05% de los municipios (2139) registraron las tasas más bajas (&#8804; 33 por cada 100 000 habitantes). La estadística de exploración detectó 19 conglomerados espaciotemporales de muertes por COVID-19, el más probable se agrupó al norte de la Ciudad de México, que registró 9400 más muertes de las esperadas y el riesgo relativo más alto (RR=3.61). Los hallazgos revelan la localización de poblaciones en riesgo durante el periodo crítico de la pandemia en México, y proporcionan información útil para priorizar la asignación de recursos. Además, permiten prever el desarrollo de bases de datos y herramientas de análisis con el fin de mejorar la prevención y las intervenciones destinadas al control y la vigilancia de futuros brotes de enfermedades infecciosas y pandemias.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This study analyzes the spatiotemporal dynamics of COVID-19 mortality in Mexico between March 2020 and December 2022, by calculating the time series of monthly deaths and estimating the crude COVID-19 mortality rates of 2020, 2021 and 2022 at the municipality level. In addition, spatio-temporal scanning statistics are employed to identify clusters of high mortality. Five waves of COVID-19 mortality were identified. The second wave, occurring between November 2020 and June 2021, was the most severe, peaking in January 2021 with 39 151 deaths. The spatial distribution of rates in 2020 and 2021 proved heterogeneous, while in 2022 87.05% of municipalities (2 139) recorded the lowest rates (&#8804; 33 per 100 000 population). Exploratory statistics detected 19 spatiotemporal clusters of COVID-19 deaths, the most likely clustered north of Mexico City, with 9,400 more deaths than expected and the highest relative risk (RR=3.61). The findings reveal the location of populations at risk during the critical period of the pandemic in Mexico, providing useful information for prioritizing resource allocation. In addition, they provide for the development of databases and analysis tools to improve prevention and interventions for the control and surveillance of future infectious disease outbreaks and pandemics.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[mortalidad]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[espacio-tiempo]]></kwd>
<kwd lng="es"><![CDATA[conglomerados]]></kwd>
<kwd lng="es"><![CDATA[riesgo relativo]]></kwd>
<kwd lng="en"><![CDATA[mortality]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[space-time]]></kwd>
<kwd lng="en"><![CDATA[clusters]]></kwd>
<kwd lng="en"><![CDATA[relative risk]]></kwd>
</kwd-group>
</article-meta>
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