<?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>S1679-49742022000100311</article-id>
<article-id pub-id-type="doi">10.1590/s1679-49742022000100009</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Perfil de internações e óbitos hospitalares por síndrome respiratória aguda grave causada por COVID-19 no Piauí: estudo descritivo, 2020-2021]]></article-title>
<article-title xml:lang="es"><![CDATA[Perfil de ingresos y fallecimientos hospitalarios por síndrome respiratorio agudo grave por COVID-19 en Piauí, Brasil: estudio descriptivo, 2020-2021]]></article-title>
<article-title xml:lang="en"><![CDATA[Profile of hospital admissions and deaths due to severe acute respiratory syndrome caused by COVID-19 in Piauí, Brazil: a descriptive study, 2020-2021]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sousa]]></surname>
<given-names><![CDATA[Eduardo Lima de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gaído]]></surname>
<given-names><![CDATA[Samara Belchior]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sousa]]></surname>
<given-names><![CDATA[Roniele Araújo de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cardoso]]></surname>
<given-names><![CDATA[Osmar de Oliveira]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Matos Neto]]></surname>
<given-names><![CDATA[Emídio Marques de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Menezes Júnior]]></surname>
<given-names><![CDATA[José Maria Pires de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[Beatriz Fátima Alves de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguiar]]></surname>
<given-names><![CDATA[Bruno Guedes Alcoforado]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Federal do Piauí Centro de Ciências da Saúde ]]></institution>
<addr-line><![CDATA[Teresina PI]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade Estadual do Maranhão  ]]></institution>
<addr-line><![CDATA[São Luís MA]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidade Nova de Lisboa Instituto de Higiene e Medicina Tropical ]]></institution>
<addr-line><![CDATA[Lisboa ]]></addr-line>
<country>Portugal</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidade Federal do Piauí Núcleo de Estudos em Saúde Pública ]]></institution>
<addr-line><![CDATA[Teresina PI]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Universidade Federal do Piauí Curso de Engenharia Elétrica ]]></institution>
<addr-line><![CDATA[Teresina PI]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af6">
<institution><![CDATA[,Fundação Instituto Oswaldo Cruz Escritório Regional do Piauí ]]></institution>
<addr-line><![CDATA[Teresina PI]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af7">
<institution><![CDATA[,Universidade Federal do Piauí Centro de Inteligência de Agravos Tropicais Emergentes e Negligenciados ]]></institution>
<addr-line><![CDATA[Teresina PI]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2022</year>
</pub-date>
<volume>31</volume>
<numero>1</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_arttext&amp;pid=S1679-49742022000100311&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_abstract&amp;pid=S1679-49742022000100311&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_pdf&amp;pid=S1679-49742022000100311&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo  Objetivo  Descrever o perfil e a variação temporal de internações e óbitos hospitalares por síndrome respiratória aguda grave (SRAG) por COVID-19 no Piauí, Brasil, segundo local de internação.  Métodos  Estudo descritivo sobre dados do Sistema de Informação da Vigilância Epidemiológica da Gripe de 2020 a 2021. Calculou-se a letalidade entre registros hospitalares com desfecho e respectivos intervalos de confiança de 95% (IC95%).  Resultados  Foram incluídos 12.649 indivíduos majoritariamente do sexo masculino (57,1%), negros (61,2%), com uma ou duas comorbidades (30,5%). No interior, entre registros hospitalares com desfecho, a letalidade para internados (44,1%; IC95% 42,0;46,3), admitidos em unidades de terapia intensiva (82,3%; IC95% 79,7;84,8) e indivíduos submetidos a ventilação mecânica invasiva (96,6%; IC95% 94,9;97,8) foi maior do que na capital do estado.  Conclusão  O estudo permitiu a caracterização do perfil das internações devidas a SRAG por COVID-19 no Piauí e demonstrou elevada letalidade entre registros hospitalares com desfechos, mantendo-se alta no período estudado, sobretudo no interior.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivo  Describir el perfil y variación temporal de los ingresos y fallecimientos hospitalarios por síndrome respiratorio agudo grave (SRAG) causado por COVID-19 en Piauí, Brasil, según el lugar de ingreso.  Métodos Estudio descriptivo con datos del Sistema de Información de Vigilancia Epidemiológica de la Gripe de 2020 a 2021. Se calculó la letalidad entre los registros hospitalarios con desenlace con intervalo de confianza del 95% (IC95%).  Resultados  Se incluyeran 12.649 individuos que eran en su mayoría del sexo masculino (57,1%), negros (61,2%) y tenían una o dos comorbilidades (30,5%). La letalidad entre los registros hospitalarios con desenlace fue mayor en el interior, con proporciones de 44,1% (IC95% 42,0;46,3) en individuos hospitalizados, 82,3% (IC95% 79,7;84,8) en unidades de cuidados intensivos y 96,6% (IC95% 94,9;97,8) de los sometidos a ventilación mecánica invasiva.  Conclusión El estudio permitió caracterizar el perfil de hospitalizaciones por SRAG por COVID-19 en Piauí y mostró una alta letalidad entre los registros hospitalarios con desenlace, que se mantuvo alta durante el período de estudio, especialmente en el interior.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Objective  To describe the profile and temporal variation of hospital admissions and deaths due to severe acute respiratory syndrome (SARS) caused by COVID-19 in Piauí, Brazil, according to place of hospitalization.  Methods  We performed a descriptive study using data from the Influenza Surveillance Information System between 2020 and 2021. Case fatality ratio among hospital records with outcome and respective 95% confidence intervals (95%CI) were calculated.  Results  We included 12,649 individuals who were mostly male (57.1%), Black (61.2%) and had one or two comorbidities (30.5%). Case fatality ratio among hospital records with outcome was higher in the state&#8217;s interior region than in its capital, with proportion of 44.1% (95%CI 42.0;46.3) for those who were hospitalized, 82.3% (95%CI 79.7;84.8) for those admitted to intensive care units and 96.6% (95%CI 94.9;97.8) for those undergoing invasive mechanical ventilation.  Conclusion  The study enabled characterization of the profile of SARS hospitalizations due to COVID-19 in Piauí and demonstrated high case fatality ratio, among hospital records with outcome, which remained high during the study period, especially in the interior of the state.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[COVID-19]]></kwd>
<kwd lng="pt"><![CDATA[Hospitalização]]></kwd>
<kwd lng="pt"><![CDATA[Respiração Artificial]]></kwd>
<kwd lng="pt"><![CDATA[Resultados de Cuidados Críticos]]></kwd>
<kwd lng="pt"><![CDATA[Epidemiologia Descritiva]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[Respiración Artificial]]></kwd>
<kwd lng="es"><![CDATA[Resultados de Cuidados Críticos]]></kwd>
<kwd lng="es"><![CDATA[Epidemiología Descriptiva]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[Hospitalization]]></kwd>
<kwd lng="en"><![CDATA[Respiration, Artificial]]></kwd>
<kwd lng="en"><![CDATA[Critical Care Outcomes]]></kwd>
<kwd lng="en"><![CDATA[Epidemiology, Descriptive]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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