<?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>S1679-49742020000400014</article-id>
<article-id pub-id-type="doi">10.5123/s1679-49742020000400002</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Caracterização de mulheres trabalhadoras do sexo em capitais brasileiras, 2016]]></article-title>
<article-title xml:lang="es"><![CDATA[Caracterización de las mujeres trabajadoras sexuales en las capitales brasileñas, 2016]]></article-title>
<article-title xml:lang="en"><![CDATA[Characterization of female sex workers in Brazilian state capitals, 2016]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Braga]]></surname>
<given-names><![CDATA[Letícia Penna]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Szwarcwald]]></surname>
<given-names><![CDATA[Célia Landmann]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Damacena]]></surname>
<given-names><![CDATA[Giseli Nogueira]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Fundação Instituto Oswaldo Cruz Programa de Pós-Graduação em Epidemiologia em Saúde Pública ]]></institution>
<addr-line><![CDATA[Rio de Janeiro RJ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Fundação Instituto Oswaldo Cruz Laboratório de Informação em Saúde ]]></institution>
<addr-line><![CDATA[Rio de Janeiro RJ]]></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=S1679-49742020000400014&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_abstract&amp;pid=S1679-49742020000400014&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_pdf&amp;pid=S1679-49742020000400014&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo  Objetivo  Descrever as características das mulheres trabalhadoras do sexo (MTS) de 12 capitais brasileiras.  Métodos  Estudo transversal de vigilância biológica e comportamental com MTS recrutadas por respondent-driven sampling (RDS), em 2016. Foram estimadas, por cidade, as prevalências de HIV, características sociodemográficas, comportamentais e da profissão. Utilizou-se o teste do Qui-Quadrado para comparar essas distribuições.  Resultados  Entre 4.328 MTS, a prevalência da infecção pelo HIV foi de 5,3% (IC95% 4,5;6,3), variando de 0,2% (IC95% 0,0;1,2), em Campo Grande, a 18,2% (IC95%13,2;24,7) em Salvador. Em metade das cidades, a prevalência de HIV nas amostras foi &gt;5,0%, enquanto Campo Grande, Brasília e Belo Horizonte apresentaram prevalências &lt;1,0%. Diferenças significativas entre as cidades foram encontradas nas distribuições segundo escolaridade, renda, local de trabalho, idade de início do trabalho sexual, e uso de drogas ilícitas.  Conclusão  As características das amostras em cada cidade foram distintas, e influenciaram a prevalência local de HIV.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Objetivos  Describir las características de las mujeres trabajadoras sexuales (MTS) de 12 ciudades brasileñas.  Métodos  Estudio transversal de vigilancia biológica y conductual con MTS reclutadas por Respondent-Driven Sampling (RDS) 2016. La prevalencia del VIH, las características sociodemográficas, de comportamiento y relacionadas con la profesión se estimaron por ciudad. Se utilizó la prueba de Chi cuadrado para comparar esas distribuciones.  Resultados  Entre 4,328 MTS, la prevalencia del VIH fue 5,3% (IC95%4,5; 6,3), variando de 0,2% (IC95% 0,0;1,2) en Campo Grande a 18,2% (IC95% 13,2; 24,7) en Salvador. En la mitad de las ciudades, la prevalencia del VIH fue &gt;5,0%, mientras que Campo Grande, Brasíla y Belo Horizonte tuvieron prevalencia de, &lt;1,0%. Se encontraron diferencias significativas entre las ciudades en las distribuciones, de acuerdo con la escolaridad, ingresos, lugar de trabajo, edad de inicio del trabajo sexual y uso de drogas ilícitas.  Conclusión  Las características de las muestras locales fueron diferentes e influyeron en la prevalencia local del VIH.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ Objective  To describe the characteristics of female sex workers (FSW) in 12 Brazilian cities.  Methods  This was a cross-sectional biological and behavioral surveillance study with FSW recruited by respondent-driven sampling (RDS) in 2016. HIV prevalence, sociodemographic, behavioral and sex work profession variables were estimated by city. The chi-square test was used to compare these distributions.  Results  Among 4,328 FSW, HIV prevalence was 5.3% (95%CI 4.5;6.3), ranging from 0.2% (95% CI 0.0;1.2), in Campo Grande, to 18.2 (95%CI 13.2;24.7) in Salvador. In half of the cities, HIV prevalence in the samples was &gt;5.0%, while Campo Grande, Brasília and Belo Horizonte had prevalence rates &lt;1.0%. Significant differences between cities were found in distributions according to educational level, income, workplace, age sex work started, and illicit drug use.  Conclusion  The characteristics of the samples in each city were distinct and have influenced local HIV prevalence.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[HIV]]></kwd>
<kwd lng="pt"><![CDATA[Trabalho Sexual]]></kwd>
<kwd lng="pt"><![CDATA[Amostragem]]></kwd>
<kwd lng="pt"><![CDATA[Rede Social]]></kwd>
<kwd lng="pt"><![CDATA[Populações Vulneráveis]]></kwd>
<kwd lng="pt"><![CDATA[Brasil]]></kwd>
<kwd lng="es"><![CDATA[VIH]]></kwd>
<kwd lng="es"><![CDATA[Trabajo Sexual]]></kwd>
<kwd lng="es"><![CDATA[Muestreo]]></kwd>
<kwd lng="es"><![CDATA[Red Social]]></kwd>
<kwd lng="es"><![CDATA[Poblaciones Vulnerables]]></kwd>
<kwd lng="es"><![CDATA[Brasil]]></kwd>
<kwd lng="en"><![CDATA[HIV]]></kwd>
<kwd lng="en"><![CDATA[Sex Work]]></kwd>
<kwd lng="en"><![CDATA[Sampling Studies]]></kwd>
<kwd lng="en"><![CDATA[Social Networking]]></kwd>
<kwd lng="en"><![CDATA[Vulnerable Populations, Brazil]]></kwd>
</kwd-group>
</article-meta>
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