<?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>S1679-49742020000400065</article-id>
<article-id pub-id-type="doi">10.5123/s1679-49742020000400023</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Forecast UTI: aplicativo para previsão de leitos de unidades de terapia intensiva no contexto da pandemia de COVID-19]]></article-title>
<article-title xml:lang="es"><![CDATA[Forecast UTI: aplicación para prever camas en Unidades de Cuidados Intensivos en el contexto de la pandemia de COVID-19]]></article-title>
<article-title xml:lang="en"><![CDATA[Forecast UTI: application for predicting intensive care unit beds in the context of the COVID-19 pandemic]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Salles Neto]]></surname>
<given-names><![CDATA[Luiz Leduíno de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martins]]></surname>
<given-names><![CDATA[Camila Bertini]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chaves]]></surname>
<given-names><![CDATA[Antônio Augusto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Konstantyner]]></surname>
<given-names><![CDATA[Thais Cláudia Roma de Oliveira]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Yanasse]]></surname>
<given-names><![CDATA[Horacio Hideki]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Campos]]></surname>
<given-names><![CDATA[Claudia Barbosa Ladeira de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bellini]]></surname>
<given-names><![CDATA[Ana Júlia de Oliveira]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Butkeraites]]></surname>
<given-names><![CDATA[Renan Brito]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Correia]]></surname>
<given-names><![CDATA[Leonardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Magro]]></surname>
<given-names><![CDATA[Igor Luciano]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Soares]]></surname>
<given-names><![CDATA[Fernando dos Santos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Federal de São Paulo Instituto de Ciência e Tecnologia ]]></institution>
<addr-line><![CDATA[São José dos Campos SP]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade Federal de São Paulo Escola Paulista de Medicina ]]></institution>
<addr-line><![CDATA[São Paulo SP]]></addr-line>
<country>Brasil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<volume>29</volume>
<numero>4</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_arttext&amp;pid=S1679-49742020000400065&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_abstract&amp;pid=S1679-49742020000400065&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_pdf&amp;pid=S1679-49742020000400065&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo Frente à necessidade de gerenciamento e previsão do número de leitos de unidades de terapia intensiva (UTIs) para pacientes graves de COVID-19, foi desenvolvido o Forecast UTI, um aplicativo de livre acesso, que permite o monitoramento de indicadores hospitalares com base em dados históricos do serviço de saúde e na dinâmica temporal da epidemia por coronavírus. O Forecast UTI também possibilita realizar previsões de curto prazo do número de leitos ocupados pela doença diariamente, e estabelecer possíveis cenários de atendimento. Este artigo apresenta as funções, modo de acesso e exemplos de uso do Forecast UTI, uma ferramenta computacional destinada a auxiliar gestores de hospitais da rede pública e privada do Sistema Único de Saúde (SUS) no subsídio à tomada de decisão, de forma rápida, estratégica e eficiente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En vista de la necesidad de administrar y prever el número de camas en la Unidad de Cuidados Intensivos para pacientes graves de COVID-19, se desarrolló Forecast UTI: una aplicación de acceso abierto que permite el monitoreo de indicadores hospitalarios basados en datos históricos del servicio salud y la dinámica temporal de esta epidemia por coronavirus También es posible hacer pronósticos a corto plazo del número de camas ocupadas diariamente por la enfermedad y establecer posibles escenarios de atención. Este artículo presenta las funciones, el modo de acceso y ejemplos de uso de Forecast UTI, una herramienta computacional capaz de ayudar a los gestores de hospitales públicos y privados en el Sistema Único de Salud, ya que apoyan la toma de decisiones de manera rápida, estratégica y eficiente.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract In view of the need to manage and forecast the number of Intensive Care Unit (ICU) beds for critically ill COVID-19 patients, the Forecast UTI open access application was developed to enable hospital indicator monitoring based on past health data and the temporal dynamics of the Coronavirus epidemic. Forecast UTI also enables short-term forecasts of the number of beds occupied daily by COVID-19 patients and possible care scenarios to be established. This article presents the functions, mode of access and examples of uses of Forecast UTI, a computational tool intended to assist managers of public and private hospitals within the Brazilian National Health System by supporting quick, strategic and efficient decision-making.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Infecções por Coronavirus]]></kwd>
<kwd lng="pt"><![CDATA[Vigilância em Saúde Pública]]></kwd>
<kwd lng="pt"><![CDATA[Previsões]]></kwd>
<kwd lng="pt"><![CDATA[Sistema Único de Saúde]]></kwd>
<kwd lng="pt"><![CDATA[Unidades de Terapia Intensiva]]></kwd>
<kwd lng="es"><![CDATA[Infecciones por Coronavirus]]></kwd>
<kwd lng="es"><![CDATA[Vigilancia en Salud Pública]]></kwd>
<kwd lng="es"><![CDATA[Predicción]]></kwd>
<kwd lng="es"><![CDATA[Sistema Único de Salud]]></kwd>
<kwd lng="es"><![CDATA[Unidades de Cuidados Intensivos]]></kwd>
<kwd lng="en"><![CDATA[Coronavirus Infections]]></kwd>
<kwd lng="en"><![CDATA[Public Health Surveillance]]></kwd>
<kwd lng="en"><![CDATA[Forecasting]]></kwd>
<kwd lng="en"><![CDATA[Unified Health System]]></kwd>
<kwd lng="en"><![CDATA[Intensive Care Units]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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