<?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>0036-3634</journal-id>
<journal-title><![CDATA[Salud Pública de México]]></journal-title>
<abbrev-journal-title><![CDATA[Salud pública Méx]]></abbrev-journal-title>
<issn>0036-3634</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Salud Pública]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0036-36342013000300010</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Systematic review of HIV prevalence studies among key populations in Latin America and the Caribbean]]></article-title>
<article-title xml:lang="es"><![CDATA[Revisión sistemática de estudios de prevalencia del VIH en poblaciones clave de mayor riesgo en América Latina y el Caribe]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Miller]]></surname>
<given-names><![CDATA[William Meihack]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Buckingham]]></surname>
<given-names><![CDATA[Lindsay]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez-Domínguez]]></surname>
<given-names><![CDATA[Mario Salvador]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morales-Miranda]]></surname>
<given-names><![CDATA[Sonia]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Paz-Bailey]]></surname>
<given-names><![CDATA[Gabriela]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
<xref ref-type="aff" rid="A02"/>
<xref ref-type="aff" rid="A04"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidad del Valle de Guatemala  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Guatemala</country>
</aff>
<aff id="A02">
<institution><![CDATA[,University of North Carolina School of Medicine ]]></institution>
<addr-line><![CDATA[ North Carolina]]></addr-line>
<country>USA</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Instituto Nacional de Salud Pública  ]]></institution>
<addr-line><![CDATA[Cuernavaca Morelos]]></addr-line>
<country>México</country>
</aff>
<aff id="A04">
<institution><![CDATA[,Tephinet, Inc  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Guatemala</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>07</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>07</month>
<year>2013</year>
</pub-date>
<volume>55</volume>
<fpage>S65</fpage>
<lpage>S78</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0036-36342013000300010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0036-36342013000300010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0036-36342013000300010&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[OBJECTIVE: This systematic review aims to synthesize articles, abstracts and reports of HIV prevalence studies conducted among men who have sex with men (MSM) and female sex workers (FSW) in Latin America and the Caribbean (LAC). MATERIALS AND METHODS: Authors searched online databases and collected gray literature on HIV prevalence among MSM and FSW from LAC. Year, location, sampling methodology, study design, sample size, HIV prevalence and confidence intervals were abstracted. RESULTS: A total of 73 studies, dating from 1986 to 2010 were included.The median prevalences for MSM and FSW were 10.6% (interquartile range: 7.4- 17.4) and 2.6% (IQR: 0.6 -4.2), respectively. Variability was high, especially for MSM. The majority of studies recruited participants using convenience methods. CONCLUSION: HIV prevalence among MSM was higher than that among FSW. Sampling techniques should be standardized for future studies, prioritizing probability methods.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[OBJETIVO: Esta revisión sistemática tiene el objetivo de sintetizar artículos, resúmenes y reportes de estudios de prevalencia de VIH en hombres que tienen sexo con hombres (HSH) y mujeres trabajadoras sexuales (MTS) en América Latina y el Caribe (ALC). MATERIAL Y MÉTODOS: Se realizaron búsquedas en bases de datos electrónicas y se recopiló literatura gris sobre la prevalencia de VIH en HSH y MTS de América Latina y el Caribe. Los datos recolectados fueron año, lugar, metodología de muestreo, diseño del estudio, tamaño muestral, prevalencia de VIH e intervalos de confianza. RESULTADOS: Se incluyó un total de 73 estudios, realizados de 1986 a 2010. La mediana de la prevalencia para HSH y MTS fue 10.6% (rango intercuartil: 7.4- 17.4) y 2.6% (RIC: 0.6-4.2), respectivamente. La variabilidad de las prevalencias estimadas fue alta, especialmente para HSH. La mayoría de estudios usaron muestras por conveniencia. CONCLUSIONES: La prevalencia de VIH entre HSH es superior a MTS. Los métodos muestrales deben ser estandarizados para estudios futuros, priorizando métodos probabilísticos.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[HIV]]></kwd>
<kwd lng="en"><![CDATA[vulnerable populations]]></kwd>
<kwd lng="en"><![CDATA[Latin America]]></kwd>
<kwd lng="en"><![CDATA[Caribbean region]]></kwd>
<kwd lng="es"><![CDATA[VIH]]></kwd>
<kwd lng="es"><![CDATA[poblaciones vulnerables]]></kwd>
<kwd lng="es"><![CDATA[América Latina]]></kwd>
<kwd lng="es"><![CDATA[región del Caribe]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="right"><font face="Verdana" size="2"><b>REVIEW ARTICLE</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="4"><b><a name="top"></a>Systematic review of HIV    prevalence studies among key populations in Latin America and the Caribbean</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="3"><b>Revisi&oacute;n sistem&aacute;tica de estudios    de prevalencia del VIH en poblaciones clave de mayor riesgo en Am&eacute;rica    Latina y el Caribe</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font size="2" face="Verdana"><b>William Meihack Miller, MPH<sup>I</sup>; Lindsay    Buckingham, BA<sup>II</sup>; Mario Salvador S&aacute;nchez-Dom&iacute;nguez,    MvD, MSc<sup>III</sup>; Sonia Morales-Miranda, MVD, MSc<sup>I</sup>; Gabriela    Paz-Bailey, MD, MSc, PhD.<sup>I, II, IV</sup></b></font></p>     <p><font face="Verdana" size="2"><sup>I</sup>Universidad del Valle de Guatemala.    Guatemala    <br>   <sup>II</sup>School of Medicine, University of North Carolina at Chapel Hill.    North Carolina, USA    ]]></body>
<body><![CDATA[<br>   <sup>III</sup>Instituto Nacional de Salud P&uacute;blica. Cuernavaca, Morelos,    M&eacute;xico    <br>   <sup>IV</sup>Tephinet, Inc. Guatemala</font></p>     <p><font face="Verdana" size="2"><a href="#end">Corresponding author</a></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p> <hr size="1" noshade>     <p><font face="Verdana" size="2"><b>ABSTRACT</b></font></p>     <p><font face="Verdana" size="2"><b>OBJECTIVE:</b> This systematic review aims    to synthesize articles, abstracts and reports of HIV prevalence studies conducted    among men who have sex with men (MSM) and female sex workers (FSW) in Latin    America and the Caribbean (LAC).    <br>   <b>MATERIALS AND METHODS:</b> Authors searched online databases and collected    gray literature on HIV prevalence among MSM and FSW from LAC. Year, location,    sampling methodology, study design, sample size, HIV prevalence and confidence    intervals were abstracted.    <br>   <b>RESULTS:</b> A total of 73 studies, dating from 1986 to 2010 were included.The    median prevalences for MSM and FSW were 10.6% (interquartile range: 7.4- 17.4)    and 2.6% (IQR: 0.6 -4.2), respectively. Variability was high, especially for    MSM. The majority of studies recruited participants using convenience methods.    <br>   <b>CONCLUSION:</b> HIV prevalence among MSM was higher than that among FSW.    Sampling techniques should be standardized for future studies, prioritizing    probability methods.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2"><b>Key words:</b> HIV; vulnerable populations;    Latin America; Caribbean region</font></p> <hr size="1" noshade>     <p><font face="Verdana" size="2"><b>RESUMEN</b></font></p>     <p><font face="Verdana" size="2"><b>OBJETIVO:</b> Esta revisi&oacute;n sistem&aacute;tica    tiene el objetivo de sintetizar art&iacute;culos, res&uacute;menes y reportes    de estudios de prevalencia de VIH en hombres que tienen sexo con hombres (HSH)    y mujeres trabajadoras sexuales (MTS) en Am&eacute;rica Latina y el Caribe (ALC).    <br>   <b>MATERIAL Y M&Eacute;TODOS:</b> Se realizaron b&uacute;squedas en bases de    datos electr&oacute;nicas y se recopil&oacute; literatura gris sobre la prevalencia    de VIH en HSH y MTS de Am&eacute;rica Latina y el Caribe. Los datos recolectados    fueron a&ntilde;o, lugar, metodolog&iacute;a de muestreo, dise&ntilde;o del    estudio, tama&ntilde;o muestral, prevalencia de VIH e intervalos de confianza.    <br>   <b>RESULTADOS:</b> Se incluy&oacute; un total de 73 estudios, realizados de    1986 a 2010. La mediana de la prevalencia para HSH y MTS fue 10.6% (rango intercuartil:    7.4- 17.4) y 2.6% (RIC: 0.6-4.2), respectivamente. La variabilidad de las prevalencias    estimadas fue alta, especialmente para HSH. La mayor&iacute;a de estudios usaron    muestras por conveniencia.    <br>   <b>CONCLUSIONES:</b> La prevalencia de VIH entre HSH es superior a MTS. Los    m&eacute;todos muestrales deben ser estandarizados para estudios futuros, priorizando    m&eacute;todos probabil&iacute;sticos.</font></p>     <p><font face="Verdana" size="2"><b>Palabras clave:</b> VIH; poblaciones vulnerables;    Am&eacute;rica Latina; regi&oacute;n del Caribe</font></p> <hr size="1" noshade>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2">HIV/AIDS continues to be a pressing public health    problem around the world. The Joint United Nations Programme on HIV/AIDS (UNAIDS)    recently reported that in 2010 33.3 million people were infected, while in 2009    1.8 million deaths occurred as a result of HIV worldwide. Since new infections    peaked in 1999, UNAIDS estimates a 19% decrease in new infections globally,    with increases witnessed principally in several countries in Eastern Europe    and Central Asia. Based on data from 120 countries, 2.6 million new infections    were estimated to have occurred in 2009.<sup>1,2</sup></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">The epidemic in Latin America is characterized    as stable and concentrated with an estimated population prevalence of 0.5% (95%    CI: 0.4-0.6), while in the Caribbean prevalence varies widely from country to    country with an overall estimate of 1.0% (95% CI: 0.9-1.1).<sup>2</sup> Brazil    is thought to be the most affected country, home to one third of all infected    people in the region. Key populations at higher risk of HIV exposure and most    affected by the epidemic include: men who have sex with men (MSM), reported    prevalence between 7.9%-25.6%,<sup>3</sup> female sex workers (FSW), 3.2%-4.3%<sup>4</sup>    and intravenous drug users (IDU), 0-78.0%.<sup>5</sup></font></p>     <p><font face="Verdana" size="2">Data on the incidence and prevalence of HIV and    other STI among MSM are very poor in most of the developing world.<sup>6</sup>    Even in countries where more information is available, the contribution of homosexual    behavior to the HIV/AIDS epidemic is not fully appreciated, in part due to either    a lack of data or lack of analysis of the available data.<sup>7</sup> A number    of more detailed epidemiological studies have shown that same sex behavior is    more common and the HIV prevalence among MSM is higher than previously thought.<sup>8-10</sup>    In urban centers of Latin America, HIV prevalence has remained high among MSM,    even as the epidemic has expanded to other populations.<sup>11</sup></font></p>     <p><font face="Verdana" size="2">FSW have lower reported HIV prevalence than MSM    but are still one of the key populations for HIV and STI transmission in Latin    America and the Caribbean due to the large proportion of men who visit sex workers    (2.5%-6.5%).<sup>12</sup> Clients of FSW have sex with members of both high    risk (FSW) and low risk (wives, regular partners) female populations.<sup>13</sup>    HIV/STI transmission networks are thus formed between populations at higher    and those at lower risk, allowing for transmission of HIV and other STI between    FSW and their partners, as well as transmission of STI among FSW. Given their    central role in the epidemiology of HIV and other STI in Latin America, FSW    must also be a major focus of HIV/STI surveillance and control efforts.</font></p>     <p><font face="Verdana" size="2">In response to differentiated epidemiological    characteristics of the pandemic, UNAIDS recommends differentiated national strategic    plans attuned to the situation in each country.<sup>14</sup> A principal difficulty    in creating such proposals, however, is the availability of accurate information    on different sub-populations or widely varying estimates for the same country.<sup>15</sup>    Considering the mix of available information, we conducted a systematic review    of the HIV prevalence among different key populations in Latin America and the    Caribbean to gain a greater understanding of the epidemiologic profile in the    region and help inform strategies in response to the HIV epidemic.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="3"><b>Materials and methods</b></font></p>     <p><font face="Verdana" size="2">This systematic review aims to synthesize articles,    abstracts and reports of HIV prevalence studies conducted among key populations    in Latin America and the Caribbean. From May to October, 2010, two independent    investigators conducted searches of the PubMed and National Library of Medicine's    meeting abstract databases for published articles and abstracts using the following    key words: highrisk groups; female sex workers; men who have sex with men; homosexual    men; HIV; prevalence; Latin America; and individual country names. Reference    listings from previous reviews and papers were also used to identify original    articles, conference proceedings and reports. "Gray literature,"    most often in the form of study reports, was included based on the knowledge    of coauthors. We considered peerreviewed articles, abstracts and documents published    up to September 2010.</font></p>     <p><font face="Verdana" size="2"><b>Eligibility criteria</b></font></p>     <p><font face="Verdana" size="2">Publications were assessed based on target population,    location, year, sampling methodology, sample size and language. Inclusion criteria    for studies were determined a priori to be: studies including HIV prevalence    data among MSM or FSW; publication in a peer-reviewed journal, country report    or an abstract at a conference with peer-reviewed blinded abstract selection    process; studies from the Latin American and Caribbean regions. Inclusion criteria    for studies among FSW included ex-changing sex for money or goods in different    periods (i.e.: last month, last six months and last year). Inclusion criteria    for MSM included anal or oral sex with another man, recall periods varying (i.e.:    last month, last six months and last year). Studies in English, Spanish and    Portuguese published between 1986 and 2010 were included in the review.</font></p>     <p><font face="Verdana" size="2">Exclusion criteria were studies with 100 or fewer    participants and studies that combined participants from the target populations    with other populations such as clients of FSW. When multiple reports existed    for a single study, one paper was chosen based on completeness of the information.    Only original research articles and reports were taken into account for this    study, ex-cluding those reported in a review for which we could not locate the    abstract, original paper or report. Authors kept records of all excluded publications.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2"><b>Classification and analysis of the published    work</b></font></p>     <p><font face="Verdana" size="2">We created a master table in Microsoft Excel    (Redmond, WA, USA), extracted key information from included surveys, and entered    data into the table. We extracted 1) the first author; 2) the year of the study;    3) survey location; 4) sampling methodology; 5) study design; 6) inclusion criteria;    7) sample size; 8) HIV prevalence; and 9) respective confidence intervals. When    unavailable in the selected publications, confidence intervals were calculated    assuming a simple random sample: this included 48 studies among MSM and 38 studies    among FSW.</font></p>     <p><font face="Verdana" size="2">City estimates were reported as separate data    points if the study presented the prevalence disaggregated by city. We originally    arranged sampling methodologies into seven categories: unspecified convenience;    snow-ball convenience; institutional convenience; cluster sampling including    time-location sampling (TLS); stratified random sampling; census; and respondent-driven    sampling (RDS). Institutional samples included those recruited at HIV testing,    sexual/reproductive health, STI treatment and community centers. Institutional    samples were presented as convenience samples in <a href="#tab1">tables I</a>,    <a href="/img/revistas/spm/v55s1/a10tab2.jpg">II</a> and <a href="/img/revistas/spm/v55s1/a10tab3.jpg">III</a>.    More recent data from 2000 to 2010 were summarized in a graph (<a href="/img/revistas/spm/v55s1/a10fig2.jpg">figure    2</a>).</font></p>     <p>&nbsp;</p>     <p align="center"><a name="tab1"></a><img src="/img/revistas/spm/v55s1/a10tab1.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="3"><b>Results</b></font></p>     <p><font face="Verdana" size="2">A total of 2 566 conference abstracts and 3 983    articles abstracts were originally identified. Of those, 2 539 conference proceedings    and 3 876 articles were excluded because they were not from Latin America or    the Caribbean, were out of scope or because they lacked an HIV prevalence estimate.    One hundred and thirty-four records were deemed relevant by any reviewer and    marked for full-text retrieval. Of those, 84 more were excluded due to duplicated    data or sample size less than 100 (<a href="/img/revistas/spm/v55s1/a10fig1.jpg">figure 1</a>). Twenty- three studies considered    gray literature were added to relevant peer-reviewed studies and conference    papers for a total of 73 studies.</font></p>     <p><font face="Verdana" size="2"><b>Men who have sex with men</b></font></p>     <p><font face="Verdana" size="2">Forty-eight studies screened 60 421 MSM (sample    size range 102-7 041; median 306) and provided 78 population-and city- specific    data points. Studies were published between 1988 and 2010. Data points were    available from 19 countries. Most sites were large metropolitan centers. Studies    were mostly cross-sectional, with the exception of six prospective cohort studies    in four cities in South America and one Caribbean island. Recruitment venues    included HIV testing clinics, medical and community-based organizations serving    MSM, street locations, and social and workplace venues. The majority (77.1%)    of studies was conducted using convenience sampling, and often a combination    of techniques (advertising, active recruitment, HIV/STI testing centers, snowball,    etc.) was used to reach the desired sample size. There were seven (14.6%) that    used RDS, most of these in Central America, three (6.3%) cluster designs and    one (2.1%) stratified random sample (<a href="#tab1">table&nbsp;I</a>). RDS    studies were first reported in 2008. In countries where both RDS studies and    convenience samples were conducted, there was a tendency for RDS studies to    report lower HIV prevalence, though differences were not statistically significant    based on confidence intervals.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">Seventy-eight HIV prevalence points for MSM yielded    a range of 0.5% in Paraguay (conducted in 2006)<sup>16</sup> to 31.1% in Guadalajara,    Mexico (1985-87),<sup>17</sup> with a median of 10.6% (IQR: 7.4-17.4) (<a href="/img/revistas/spm/v55s1/a10tab2.jpg">table&nbsp;II</a>). Prevalence rates from 2000 to 2010 are presented in <a href="/img/revistas/spm/v55s1/a10fig2.jpg">figure 2</a>. Data points    from the Caribbean, Central America, and Mexico showed less variability than    the Andean region.</font></p>     <p><font face="Verdana" size="2">A few studies reported HIV incidence. In Brazil,    three cohort studies were implemented in the cities of Rio de Janeiro, Sao Paulo    and Belo Horizonte which found incidence rates of 3.1, 1.5 and 2.0 per 100 person    years, respectively.<sup>18,19</sup> In Peru, 1 140 men followed up between    1998 and 2000 yielded a seroincidence rate of 3.5 per 100 person years.<sup>20</sup>    The BED assay has also been used to estimate incidence in cross-sectional studies    reporting a range of 2.1-14.4% (95%CI: 5.4-29.7) in Central America<sup>4</sup>    and 11.2% in Peru.<sup>21</sup></font></p>     <p><font face="Verdana" size="2"><b>Female sex workers</b></font></p>     <p><font face="Verdana" size="2">Forty-three prevalence studies surveyed 76 416    female sex workers (sample size range 101-24 500; median 265) and included 86    data points. Studies were published between 1986 and 2010 from 18 countries.    Sites included capitals, ports and other tourist and commercial centers. The    highest sample size, 24 500 was reached in Mexico (0.3% HIV prevalence), where    women were recruited from HIV testing sites at health units across the country.<sup>22</sup>    Cross-sectional studies predominated with the exception of one prospective cohort    study. Recruitment venues included HIV testing clinics, medical and community-based    organizations serving FSW, street locations, and social and workplace venues.    Most studies (77.3%) used convenience sampling with the exception of six (13.3%)    cluster designs, four (8.9%) RDS and one (2.2%) census (not exclusive; some    studies used different sampling methods in different cities).</font></p>     <p><font face="Verdana" size="2">RDS studies were first reported for FSW in 2009.    Studies from Central America were more often conducted using RDS than those    from other regions. FSW were sampled using probability methods more frequently    than MSM, though the difference was small.</font></p>     <p><font face="Verdana" size="2">HIV prevalence ranged from 0% in parts of Honduras,    Nicaragua, Panama, Uruguay, Chile, Bolivia, Peru and Venezuela (conducted between    1986 and 2006)*<sup>,23-30,121</sup> to 12.4% in Haiti (1987-1988)<sup>31</sup>    with a median of 2.6% (IQR: 0.6-4.2) (<a href="/img/revistas/spm/v55s1/a10tab3.jpg">table&nbsp;III</a>). HIV prevalence among FSW by    region and country from 2000-2010 are presented in <a href="/img/revistas/spm/v55s1/a10fig2.jpg">figure 2</a>. The data points    showed lower prevalence and less variability than for MSM.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="3"><b>Discussion</b></font></p>     <p><font face="Verdana" size="2">Traditionally, the highest HIV prevalence among    MSM have been reported in Mexico and the Andean countries. However, in the last    10 years the prevalence in Mexico appears to have decreased or studies have    recruited a more heterogeneous sample and recent levels are similar to those    reported in Central America. For FSW, the disease burden was greatest overall    in Brazil, though recent rates were also lower than those from a decade ago.    Taking into account the studies in this review, HIV prevalence among MSM was    five times higher than among sex workers. HIV seroprevalence studies of other    potentially key populations from Latin America and the Caribbean were lacking,    and based on previous reviews men who have sex with men and female sex workers    have proven to be the populations most affected by the HIV epidemic in countries    across the region.<sup>3,32-36</sup></font></p>     <p><font face="Verdana" size="2">One of most apparent characteristics regarding    the prevalence among MSM, especially evident in the Andean region, was the high    degree of variability among studies from different countries but also from the    same country. This could be due to the different sampling methods used to recruit    MSM. Few studies with probabilistic sampling methodologies had been carried    out in the region. Furthermore, it is possible that researchers chose probability    methods to sample female sex workers more often than for MSM on the assumption    that the entire FSW population works from establishments that can be mapped    and cluster sampled. In the U.S. venue based sampling has been used to conduct    ongoing HIV behavioral surveillance among MSM,<sup>37</sup> but in Latin America    researchers have not opted for venue-based methods. In fact, the majority of    articles were based on convenience methods, often combining snowball recruitment,    out-reach referrals or advertisement methods. There are several possible explanations    for this observation. MSM in Latin American countries might have been more difficult    to recruit in venues compared to the U.S. due to lower social tolerance of sexual    diversity and higher levels of stigma and discrimination. This could have resulted    in insufficient number of MSM venues and safety concerns for field staff operating    in dangerous areas. The high degree of convenience sampling and inclusion of    larger proportions of MSM sub-populations at even higher risk such as male sex    workers could have caused the large degree of variability on HIV prevalence    among the MSM studies. Another explanation for the variability among studies    is that RDS has been thought to produce lower seroprevalence estimates than    other methods assuming that it reaches hidden segments of the target population,    individuals who may have been sheltered from a lifestyle propitious to high    rates of transmission.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">More difficult to study are individuals who have    sexual relations with key populations and with individuals at lower risk. In    Latin America and the Caribbean, HIV has often been transmitted in this manner    and data on infection rates in these populations were lacking. Mobile workers    have exhibited high risk behavior via interactions with FSW: for example in    2003, in Santos, Brazil, 21.0% of 300 truck drivers reported paid sex in the    last six months.<sup>38</sup> Migrants, yet another key population, have been    at higher risk of HIV exposure, a product of the conditions and structure of    the migration process.<sup>39</sup> Marginalized populations such as sex workers,    injecting drug users and men who have sex with men traditionally have experienced    internal and international migration and may become victims of exploitation,    violence and exclusion.<sup>40,41</sup> A high level of mobility, legal status,    language and cultural differences; lack of information, education and work;    poor access to prevention, harm reduction and health care services; and gender    related factors have led to migrants' underprivileged status. Stigma has    further exacerbated their vulnerability. These key populations should also be    the focus of surveillance to better monitor the HIV epidemic. The objective    of surveillance and most prevalence studies is to document the gravity of disease    burden in the target population and to make recommendations regarding allocation    of resources to control the spread of disease. A primary challenge for surveillance    of these key populations is obtaining 'representative' samples.<sup>42,43</sup>    General population surveys with multi -stage cluster sampling are excessively    expensive and cannot be used to reach hidden segments of the population.<sup>44</sup></font></p>     <p><font face="Verdana" size="2">Several approaches have been proposed to balance    the need for recruitment efficiency and inclusiveness in representation. Snowball    sampling increases efficiency, identification, and inclusion of hidden populations    by having members of the target population recruit other members.<sup>45</sup>    However, snowball sampling suffers from sampling bias and leads to a group that    is not representative of the population. Facility-based sampling is also not    generalizable as those who obtain services are different from those who do not.    Targeted sampling involves an ethnographic mapping of the target population    to later sample subgroups as strata. The magnitude of the bias in targeted sampling    depends on the thoroughness of the ethnographic assessment. Time-location sampling    involves an ethnographic mapping of sites where the target population meets    or works and random selection of participants at randomly selected sites, days    and times. Time-location sampling is a probability sampling method but as with    targeted sampling, its representativeness depends on the exhaustiveness of the    mapping and assistance of all population subgroups at selected sites. Nevertheless,    TLS has worked well with more visible populations including female sex workers    and their clients,<sup>46,47</sup> and MSM in gay-identified areas of urban    centers.<sup>48,49</sup></font></p>     <p><font face="Verdana" size="2">Respondent-driven sampling has been used for    surveillance of populations most at risk for HIV/AIDS in the United States and    in more than 83 countries worldwide since 1994.<sup>50,51</sup> In theory, weighted    estimates generated from RDS generalize to the population as a whole. However,    recent assessments of the RDS sampling methodology have documented limitations    in the RDS assumptions.<sup>52,53</sup> Despite these limitations, RDS is currently    one of the only methods available to reach highly hidden populations that provides    methodological rigor.</font></p>     <p><font face="Verdana" size="2">This review has several limitations. The use    of different sampling methodologies diminished the validity of pooled prevalence    estimates and only medians were presented as summary estimates in this paper.    Calculated asymptotic confidence intervals were tighter than the true intervals,    limiting the interpretability of the data. More recent studies may not have    been included due to the lag time between data collection and publication of    results. The inclusion of gray literature may also have been biased by the authors'    geographical expertise or familiarity. Different types of laboratory tests were    used to diagnosis HIV, including rapid tests, ELISA, and Western Blot among    others. Information on the types of tests, specific tests or diagnostic algorithms    was not always available for the included studies. This variability and lack    of information limited the ability to compare the results from different studies.    Medians and interquartile ranges (IQR) were reported and should be interpreted    with care due to the different recruitment methodologies. For the same reason,    trend analyses have not been presented in this article.</font></p>     <p><font face="Verdana" size="2">High prevalence rates among MSM and moderate    rates among FSW have been detected in countries across Latin America and the    Caribbean. A toolbox of standardized sampling techniques and data collection    practices is urgently needed to clear up the varied picture presented by studies    in this review. While many researchers continue to question the generalizability    of RDS and TLS samples, it is encouraging that researchers are employing probability    sampling methods more often than in the past. The implications of this study    for prevention include recognizing that in Latin America and the Caribbean sufficient    resources should be dedicated to HIV programs for men who have sex with men    and sex workers to slow or stop transmission. Historical stigma attached to    these key populations and their perceived or estimated population size in comparison    to other populations influence decision makers. Widespread efforts are needed    to ensure that leaders are aware of the results and that resources are allocated    based on burden of disease and prevention needs.<sup>54</sup> Periodic surveillance    of MSM, FSW and other populations important to the HIV epidemic should continue.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="3"><b>References</b></font></p>     <!-- ref --><p><font face="Verdana" size="2">1.UNAIDS, World Health Organization. AIDS epidemic    update: December 2009. Geneva: UNAIDS, 2009.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=9388760&pid=S0036-3634201300030001000001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p><font face="Verdana" size="2">2. Joint United Nations Programme on HIV/AIDS    (UNAIDS). 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<body><![CDATA[<br>   William Miller. 6 Jordan Dr., Pittsboro, NC 27312 USA    <br>   E-mail: <a href="mailto:meihackmiller@gmail.com">meihackmiller@gmail.com</a></font></p>     <p> <font face="Verdana" size="2"><b>Received on: </b>February 11, 2011    <br>   <b>Accepted on: </b>July 10, 2012</font></p>      ]]></body><back>
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<name>
<surname><![CDATA[Morales-Miranda]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[High prevalence of Mycoplasm genitalium among female sex workers in Honduras: implications for the spread of HIV and other sexually transmitted infections]]></article-title>
<source><![CDATA[Int J STD AIDS]]></source>
<year>2012</year>
<volume>23</volume>
<page-range>5-11</page-range></nlm-citation>
</ref>
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</back>
</article>
