<?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>1679-4974</journal-id>
<journal-title><![CDATA[Epidemiologia e Serviços de Saúde]]></journal-title>
<abbrev-journal-title><![CDATA[Epidemiol. Serv. Saúde]]></abbrev-journal-title>
<issn>1679-4974</issn>
<publisher>
<publisher-name><![CDATA[Secretaria de Vigilância em Saúde e Ambiente - Ministério da Saúde do Brasil]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1679-49742023000100300</article-id>
<article-id pub-id-type="doi">10.1590/s2237-96222023000100021</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Influência da desigualdade socioeconômica na distribuição das internações e dos óbitos por covid-19 em municípios brasileiros, 2020: um estudo ecológico]]></article-title>
<article-title xml:lang="es"><![CDATA[Influencia de la desigualdad socioeconómica en la distribución de hospitalizaciones y muertes por COVID-19 en municipios brasileños, 2020: un estudio ecológico]]></article-title>
<article-title xml:lang="en"><![CDATA[Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Silva]]></surname>
<given-names><![CDATA[Gabriela Drummond Marques da]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Souza]]></surname>
<given-names><![CDATA[Anelise Andrade de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Castro]]></surname>
<given-names><![CDATA[Mônica Silva Monteiro de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Miranda]]></surname>
<given-names><![CDATA[Wanessa Debôrtoli de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jardim]]></surname>
<given-names><![CDATA[Leticia Lemos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sousa]]></surname>
<given-names><![CDATA[Rômulo Paes de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Fundação Oswaldo Cruz Instituto René Rachou ]]></institution>
<addr-line><![CDATA[Belo Horizonte MG]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade Federal de Ouro Preto Escola de Nutrição ]]></institution>
<addr-line><![CDATA[Ouro Preto MG]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidade Federal de Minas Gerais Escola de Enfermagem ]]></institution>
<addr-line><![CDATA[Belo Horizonte MG]]></addr-line>
<country>Brasil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<volume>32</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_arttext&amp;pid=S1679-49742023000100300&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_abstract&amp;pid=S1679-49742023000100300&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_pdf&amp;pid=S1679-49742023000100300&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo  Objetivo  analisar a influência da desigualdade socioeconômica na distribuição da covid-19 nos maiores municípios brasileiros (&gt; 100 mil habitantes), controlando, pelo efeito da infraestrutura hospitalar, comorbidades e outras variáveis.  Métodos  estudo ecológico sobre internações e óbitos por covid-19 em 2020; dados de desfecho obtidos do Ministério da Saúde; a razão de incidência foi estimada via modelo linear generalizado.  Resultados  identificados 291.073 internações e 139.953 óbitos; encontrou-se maior taxa de mortalidade nos municípios com maior população não branca (IC95% 1,01;1,16) e nos domicílios com mais de duas pessoas por cômodo (IC95% 1,01;1,13); para ambos os desfechos, esgotamento sanitário foi protetivo (internações: IC95% 0,87;0,99 &#8211; óbitos: IC95% 0,90;0,99), e população em aglomerados subnormais revelou-se fator de risco (internações: IC95% 1,01;1,16 &#8211; óbitos: IC95% 1,09;1,21) com interação, com a proporção de pessoas a receber auxílio emergencial (internações: IC95% 0,88;1,00 &#8211; óbitos: IC95% 0,89;0,98).  Conclusão  condições socioeconômicas afetaram o adoecimento e morte por covid-19 no Brasil.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivo  analizar la influencia de la desigualdad socioeconómica en la distribución de COVID-19 en los mayores municipios brasileños (&gt; 100 mil habitantes), controlando, por la infraestructura hospitalaria, comorbilidades y otras variables.  Métodos  estudio ecológico sobre hospitalizaciones y muertes por COVID-19 en 2020; datos del resultado fueran obtenidos del Ministerio de Salud; razón de incidencia estimada a través del modelo lineal generalizado.  Resultados  291.073 hospitalizaciones y 139.953 muertes; mayor tasa de mortalidad en municipios con mayor proporción de población no blanca (IC95% 1,01;1,16) y con más hogares con más de dos personas por habitación (IC95% 1,01;1,13); el alcantarillado sanitario resultó protector (hospitalizaciones: IC95% 0,87;0,99 &#8211; muertes: IC95% 0,90;0,99) y la mayor proporción de población en aglomeraciones subnormales fue un factor de riesgo (hospitalizaciones: IC95% 1,01;1,16 &#8211; muertes: IC95% 1,09;1,21), interactuando con proporción de personas con asistencia de emergencia (hospitalizaciones IC95% 0,88;1,00, defunciones IC95% 0,89;0,98).  Conclusión  las condiciones socioeconómicas afectaron la enfermedad y la muerte por COVID-19.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Objective  to analyze the influence of socioeconomic inequality on COVID-19 distribution in larger Brazilian municipalities, controlling for effect of hospital infrastructure, comorbidities and other variables.  Methods  this was an ecological study of COVID-19 hospitalizations and deaths in 2020; outcome data were obtained from the Ministry of Health; incidence ratios were estimated using a generalized linear model.  Results  we identified 291,073 hospitalizations and 139,953 deaths; we found higher mortality rates in municipalities with a higher proportion of non-White people (95%CI 1.01;1.16) and with more households with more than two people per room (95%CI 1.01;1.13); presence of sewerage systems was protective for both outcomes (hospitalizations: 95%CI 0.87;0.99 &#8211; deaths: 95%CI 0.90;0.99), while a higher proportion of the population in subnormal housing clusters was a risk factor (hospitalizations: 95%CI 1.01;1.16 &#8211; deaths: 95%CI 1.09;1.21), with this variable interacting with the proportion of people receiving Emergency Aid (hospitalizations: 95%CI 0.88;1.00 &#8211; deaths: 95%CI 0.89;0.98).  Conclusion  socioeconomic conditions affected illness and death due to COVID-19 in Brazil.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Coronavírus]]></kwd>
<kwd lng="pt"><![CDATA[Internação Hospitalar]]></kwd>
<kwd lng="pt"><![CDATA[Mortalidade]]></kwd>
<kwd lng="pt"><![CDATA[Fatores Socioeconômicos]]></kwd>
<kwd lng="pt"><![CDATA[Estudo Ecológico]]></kwd>
<kwd lng="es"><![CDATA[Coronavirus]]></kwd>
<kwd lng="es"><![CDATA[Hospitalización]]></kwd>
<kwd lng="es"><![CDATA[Mortalidad]]></kwd>
<kwd lng="es"><![CDATA[Factores Socioeconómicos, Estudio Ecológico]]></kwd>
<kwd lng="en"><![CDATA[Coronavirus]]></kwd>
<kwd lng="en"><![CDATA[Hospitalization]]></kwd>
<kwd lng="en"><![CDATA[Mortality]]></kwd>
<kwd lng="en"><![CDATA[Socioeconomic Factors, Ecological Study]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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