Home sampling and pooling of vaginal samples are effective tools for genetic screening of Chlamydia trachomatis among high school female students in Lithuania

Kučinskienė, Vesta; Juseviciute, Violeta; Valiukevičienė, Skaidra; Milašauskienė, Žemyna; Unemo, Magnus; Domeika, Marius

doi:10.1080/00365540701587002

Cited by 12 publications

(21 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A prevalence of 6.9% among women and 2.7% among men (18–35 years of age; 11% among women 18–20 years of age) in a population-based sample was reported in Estonia 50. A study conducted among female college students in Lithuania reported a 5.6% prevalence among participants aged 18–31 years (7.1% among sexually active female students 20–24 years of age) 51. In contrast, a Slovenian study found 3% of men and 1.6% of women infected with chlamydia (4.1% among men and women aged 18–24 years) 52…”

Section: Resultsmentioning

confidence: 95%

Trends in the epidemiology of bacterial sexually transmitted infections in eastern Europe, 1995-2005

Uusküla

Puur

Toompere

et al. 2010

Sexually Transmitted Infections

View full text Add to dashboard Cite

The reported rates of STI in many eastern European countries have either decreased (syphilis and gonorrhoea in the eastern/Russian regions, gonorrhoea throughout eastern Europe) or been relatively stable (syphilis in the southeastern region, chlamydia throughout eastern Europe), in the past decade, but are still significantly higher than in western Europe. There is a significant east-west geopolitical gradient in reported STI rates throughout eastern Europe (STI rates: Russia/eastern region>>southeastern region>central region). Challenges for STI control include: the need to strengthen public health components of control; improvements in surveillance and improvement, as well as quality assurance, in diagnostic strategies. Gains in STI control may be achieved through greater collaboration and harmonisation of practicss at the European level.

show abstract

Section: Resultsmentioning

confidence: 95%

Trends in the epidemiology of bacterial sexually transmitted infections in eastern Europe, 1995-2005

Uusküla

Puur

Toompere

et al. 2010

Sexually Transmitted Infections

View full text Add to dashboard Cite

show abstract

“…The current variation in the risk for sexually transmitted infection may therefore partly be a function of the individuals' earlier sexual history instead of sociodemographic differences. PA may, for example, explain the lack of sociodemographic predictors (except age) for genital chlamydia (34). Thus, strategic intervention programs that focus on traditional risk groups may be less effective because a substantial group of individuals with a high number of partners might not be targeted.…”

Section: Discussionmentioning

confidence: 99%

Preferential attachment in sexual networks

Blasio

Svensson²,

Liljeros

2007

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Many social networks are characterized by a highly uneven distribution of links. The observed skewed distributions have in several cases been attributed to preferential attachment (PA), a tendency among nodes in a growing network to form new links preferentially to nodes with high numbers of links. We test the PA conjecture in sexual contact networks. A maximum likelihood estimation-based expectation-maximization fitting technique is used to model new partners over a 1-year period based on the number of partners in foregoing periods of 2 years, 4 years, and lifetime. The PA model is modified to account for individual heterogeneity in the inclination to find new partners and fitted to Norwegian survey data on heterosexual men and women. Results show evidence of nonrandom, sublinear PA when comparing the growth in 3-to 5-year periods. The potential implications of these findings are discussed.sexual behavior ͉ sexually transmitted diseases I n comparison with the observed incidence of sexually transmitted infections in modern societies, the average number of sexual contacts in national populations is surprisingly low. It has been suggested that the endemic and epidemic spread is driven by smaller subsets (core groups) of the population, in which members have significantly higher numbers of partners and a preference for selecting partners within the group (1). Several studies have, however, recently reported a highly skewed distribution of sexual contacts without a clear core group.The tail of the sex partner distribution is often modeled by a simple power law, that is, the probability mass function (pmf) of sexual partners P( j) have the functional form P( j) Ϸ Cj Ϫ␥ for some excess j Ͼ j t , where C and ␥ are positive constants. The first suggestion of power law scaling was published by Colgate et al. (2) in 1989 from data on homosexual men seen at a sexually transmitted infection clinic in London. More recently, Liljeros et al. (3) observed a power law in population data from Sweden, which was later supported by population studies in Burkina Faso (4), Uganda and the United States (5), and Britain and Zimbabwe (6). With one exception (women from the Rakai district in Uganda), the reported slopes are close to ␥ ϭ 3; the range for men being 2.8 Յ ␥ Յ 5.4 and the range for women being 3.0 Յ ␥ Յ 4.2.The finding of a power law has been subject to some controversy, and the question has been raised whether a power-law function adequately fits the data. The available sexual data are limited, and the published studies reveal power-law scaling of over one to two orders of magnitude. The limited scaling regime is not sufficient to distinguish a power law from other heavy-tailed distributions, such as log-normal or stretched exponential (Weibull), both of which have characteristic scales and curve away with exponential decay for large enough j. A study by Handcock (7) suggests that a log-normal distribution provides the best description of the data when lower numbers of partners are included.Here, we address the question o...

show abstract

“…Personal invitation of young female high-school students by providing information during lectures combined with kits for home sampling by vaginal swabs resulted in a response rate of 67% in Lithuania [17]. In a large US study [18 ] in which groups of high-school students attended an educational and screening session, more than 65% of the students attended for a urine-based C. trachomatis test.…”

Section: Prior Studiesmentioning

confidence: 98%