Chlamydia Prevalence Trends among Women and Men Entering the National Job Training Program from 1990 Through 2012

Background Evaluating chlamydia prevalence trends from sentinel surveillance is important for understanding population disease burden over time. However, prevalence trend estimates from surveillance data may be misleading if they do not account for changes in risk profiles of individuals who are screened (case mix) and changing performance of the screening tests used. Methods We analyzed chlamydia screening data from a sentinel surveillance population of 389,555 young women (1990-2012) and 303,699 young men (2003-2012) entering the US National Job Training Program. This period follows the introduction of national chlamydia screening programs designed to prevent transmission and reduce population disease burden. After ruling out bias due to case mix, we used an expectation-maximization-based maximum likelihood approach to account for measurement error from changing screening tests, and generated minimally biased long-term chlamydia prevalence trend estimates among youth and young adults in this sentinel surveillance population. Results Adjusted chlamydia prevalence among women was high throughout the study period, but fell from 20% in 1990 to 12% in 2003, and remained between 12% and 14% through 2012. Adjusted prevalence among men was steady throughout the study period at approximately 7%. For both women and men, adjusted prevalence was highest among Black and American Indian youth and young adults, and in the Southern and Midwestern regions of the United States throughout the study period. Conclusions Our minimally biased trend estimates provide support for an initial decrease in chlamydia prevalence among women soon after the introduction of national chlamydia screening programs. Constant chlamydia prevalence in more recent years suggests that screening may not be sufficient to further reduce chlamydia prevalence among high-risk youth and young adults

Pregnancy and HIV Infection in Young Women in North Carolina

We described young women in North Carolina (NC) who were pregnant at the time of diagnosis with human immunodeficiency virus (HIV) infection to identify an at-risk population that could be targeted for increased HIV screening. We investigated the combined effect of partner counseling and referral services (PCRS) and comprehensive prenatal HIV screening

A flexible Bayesian hierarchical model of preterm birth risk among US Hispanic subgroups in relation to maternal nativity and education

Abstract: Background: Previous research has documented heterogeneity in the effects of maternal education on adverse birth outcomes by nativity and Hispanic subgroup in the United States. In this article, we considered the risk of preterm birth (PTB) using 9 years of vital statistics birth data from New York City. We employed finer categorizations of exposure than used previously and estimated the risk dose-response across the range of education by nativity and ethnicity. Methods: Using Bayesian random effects logistic regression models with restricted quadratic spline terms for years of completed maternal education, we calculated and plotted the estimated posterior probabilities of PTB (gestational age < 37 weeks) for each year of education by ethnic and nativity subgroups adjusted for only maternal age, as well as with more extensive covariate adjustments. We then estimated the posterior risk difference between native and foreign born mothers by ethnicity over the continuous range of education exposures. Results: The risk of PTB varied substantially by education, nativity and ethnicity. Native born groups showed higher absolute risk of PTB and declining risk associated with higher levels of education beyond about 10 years, as did foreign-born Puerto Ricans. For most other foreign born groups, however, risk of PTB was flatter across the education range. For Mexicans, Central Americans, Dominicans, South Americans and “Others”, the protective effect of foreign birth diminished progressively across the educational range. Only for Puerto Ricans was there no nativity advantage for the foreign born, although small numbers of foreign born Cubans limited precision of estimates for that group. Conclusions: Using flexible Bayesian regression models with random effects allowed us to estimate absolute risks without strong modeling assumptions. Risk comparisons for any sub-groups at any exposure level were simple to calculate. Shrinkage of posterior estimates through the use of random effects allowed for finer categorization of exposures without restricting joint effects to follow a fixed parametric scale. Although foreign born Hispanic women with the least education appeared to generally have low risk, this seems likely to be a marker for unmeasured environmental and behavioral factors, rather than a causally protective effect of low education itself

Antimicrobial Resistance in Neisseria gonorrhoeae: Proceedings of the STAR Sexually Transmitted Infection-Clinical Trial Group Programmatic Meeting.

The goal of the Sexually Transmitted Infection Clinical Trial Group's Antimicrobial Resistance (AMR) in Neisseria gonorrhoeae (NG) meeting was to assemble experts from academia, government, nonprofit and industry to discuss the current state of research, gaps and challenges in research and technology and priorities and new directions to address the continued emergence of multidrug-resistant NG infections. Topics discussed at the meeting, which will be the focus of this article, include AMR NG global surveillance initiatives, the use of whole genome sequencing and bioinformatics to understand mutations associated with AMR, mechanisms of AMR, and novel antibiotics, vaccines and other methods to treat AMR NG. Key points highlighted during the meeting include: (i) US and International surveillance programs to understand AMR in NG; (ii) the US National Strategy for combating antimicrobial-resistant bacteria; (iii) surveillance needs, challenges, and novel technologies; (iv) plasmid-mediated and chromosomally mediated mechanisms of AMR in NG; (v) novel therapeutic (eg, sialic acid analogs, factor H [FH]/Fc fusion molecule, monoclonal antibodies, topoisomerase inhibitors, fluoroketolides, LpxC inhibitors) and preventative (eg, peptide mimic) strategies to combat infection. The way forward will require renewed political will, new funding initiatives, and collaborations across academic and commercial research and public health programs

A flexible Bayesian hierarchical model of preterm birth risk among US Hispanic subgroups in relation to maternal nativity and education

<p>Abstract</p> <p>Background</p> <p>Previous research has documented heterogeneity in the effects of maternal education on adverse birth outcomes by nativity and Hispanic subgroup in the United States. In this article, we considered the risk of preterm birth (PTB) using 9 years of vital statistics birth data from New York City. We employed finer categorizations of exposure than used previously and estimated the risk dose-response across the range of education by nativity and ethnicity.</p> <p>Methods</p> <p>Using Bayesian random effects logistic regression models with restricted quadratic spline terms for years of completed maternal education, we calculated and plotted the estimated posterior probabilities of PTB (gestational age < 37 weeks) for each year of education by ethnic and nativity subgroups adjusted for only maternal age, as well as with more extensive covariate adjustments. We then estimated the posterior risk difference between native and foreign born mothers by ethnicity over the continuous range of education exposures.</p> <p>Results</p> <p>The risk of PTB varied substantially by education, nativity and ethnicity. Native born groups showed higher absolute risk of PTB and declining risk associated with higher levels of education beyond about 10 years, as did foreign-born Puerto Ricans. For most other foreign born groups, however, risk of PTB was flatter across the education range. For Mexicans, Central Americans, Dominicans, South Americans and "Others", the protective effect of foreign birth diminished progressively across the educational range. Only for Puerto Ricans was there no nativity advantage for the foreign born, although small numbers of foreign born Cubans limited precision of estimates for that group.</p> <p>Conclusions</p> <p>Using flexible Bayesian regression models with random effects allowed us to estimate absolute risks without strong modeling assumptions. Risk comparisons for any sub-groups at any exposure level were simple to calculate. Shrinkage of posterior estimates through the use of random effects allowed for finer categorization of exposures without restricting joint effects to follow a fixed parametric scale. Although foreign born Hispanic women with the least education appeared to generally have low risk, this seems likely to be a marker for unmeasured environmental and behavioral factors, rather than a causally protective effect of low education itself.</p

Prevalence of sexually transmitted infections and bacterial vaginosis among women in sub-Saharan Africa:An individual participant data meta-analysis of 18 HIV prevention studies

Background: Estimates of sexually transmitted infection (STI) prevalence are essential for efforts to prevent and control STIs. Few large STI prevalence studies exist, especially for low- and middle-income countries (LMICs). Our primary objective was to estimate prevalence of chlamydia, gonorrhea, trichomoniasis, syphilis, HSV-2, and bacterial vaginosis (BV) among women in sub-Saharan Africa by age, region, and population-type.Methods and Findings: We analyzed individual-level data from 18 HIV prevention studies (cohort studies, randomized controlled trials; conducted during 1993–2011), representing &gt;37,000 women, which tested participants for ≥1 selected STI/BV at baseline. We used a two-stage meta-analysis to combine data. After calculating the proportion with each STI/BV and standard error by study, we used a random-effects model to obtain a summary mean prevalence of each STI/BV and 95% confidence interval (CI) across age, region, and population-types. Despite substantial study heterogeneity for some STIs/populations, several patterns emerged. Across all regions/population groups, prevalence was higher among 15–24 year-old than 25–49 year-old women for all STIs except HSV-2. In general, higher-risk populations had greater prevalence of gonorrhea and syphilis than clinic/community-based populations. For chlamydia, prevalence among 15–24 year olds was 10.3% (95% CI: 7.4, 14.1; I2=75.7%) among women specifically recruited from higher-risk settings for HIV in Eastern Africa and was 15.1% (95% CI: 12.7, 17.8; I2=82.3%) in South African clinic/community-based populations. Among clinic/community-based populations, prevalence was generally greater in South Africa than in Southern/Eastern Africa for most STIs; for gonorrhea, prevalence among 15–24 year olds was 4.6% (95% CI: 4.4, 6.4; I2=82.8%) in South Africa and was 1.7% (95% CI: 1.2, 2.6; I2=55.2%) in Southern/Eastern Africa. Across all region/population groups, HSV-2 and BV prevalence was high among 25–49 year-olds (ranging from 70–83% and 33–44%, respectively). The main study limitation is that the data are not from random samples of the target populations. Conclusions: Combining data from 18 HIV prevention studies, our findings highlight important features of STI/BV epidemiology among sub-Saharan African women. This methodology can be used where routine STI surveillance is limited and offers a new approach to obtaining critical information on STI and BV prevalence in LMICs

Using Search Engine Data as a Tool to Predict Syphilis

BackgroundResearchers have suggested that social media and online search data might be used to monitor and predict syphilis and other sexually transmitted diseases. Because people at risk for syphilis might seek sexual health and risk-related information on the internet, we investigated associations between internet state-level search query data (e.g., Google Trends) and reported weekly syphilis cases.MethodsWe obtained weekly counts of reported primary and secondary syphilis for 50 states from 2012 to 2014 from the US Centers for Disease Control and Prevention. We collected weekly internet search query data regarding 25 risk-related keywords from 2012 to 2014 for 50 states using Google Trends. We joined 155 weeks of Google Trends data with 1-week lag to weekly syphilis data for a total of 7750 data points. Using the least absolute shrinkage and selection operator, we trained three linear mixed models on the first 10 weeks of each year. We validated models for 2012 and 2014 for the following 52 weeks and the 2014 model for the following 42 weeks.ResultsThe models, consisting of different sets of keyword predictors for each year, accurately predicted 144 weeks of primary and secondary syphilis counts for each state, with an overall average R of 0.9 and overall average root mean squared error of 4.9.ConclusionsWe used Google Trends search data from the prior week to predict cases of syphilis in the following weeks for each state. Further research could explore how search data could be integrated into public health monitoring systems

Congenital syphilis: trends in mortality and morbidity in the United States, 1999 through 2013

BACKGROUND: Congenital syphilis (CS) results when an infected pregnant mother transmits syphilis to her unborn child prior to or at delivery. The severity of infection can range from a delivery at term without signs of infection to stillbirth or death after delivery. OBJECTIVE: We sought to describe CS morbidity and mortality during 1999 through 2013. STUDY DESIGN: National CS case data reported to Centers for Disease Control and Prevention during 1999 through 2013 were analyzed. Cases were classified as dead (stillbirths and deaths up to 12 months after delivery), morbid (cases with strong [physical, radiographic, and/or nonserologic laboratory] evidence of CS), and nonmorbid (cases with a normal physical examination reported, without strong evidence of infection). Annual rates of these cases were calculated. Cases were compared using selected maternal and infant criteria. RESULTS: During 1999 through 2013, 6383 cases of CS were reported: 6.5% dead, 33.6% morbid, 53.9% nonmorbid, and 5.9% unknown morbidity; 81.8% of dead cases were stillbirths. Rates of dead, morbid, and nonmorbid cases all decreased over this time period, but the overall proportions that were dead ormorbid cases did not significantly change. The overall case fatality ratio during 1999 through 2013 was 6.5%. Among cases of CS, maternal race/ethnicity was not associated with increased morbidity or death, although most cases (83%) occurred among black or Hispanic mothers. No or inadequate treatment for maternal syphilis, \u3c10 prenatal visits, and maternal nontreponemal titer \u3e1:8 increased the likelihood of a dead case; risk of a dead case increased with maternal nontreponemal titer (x2 for trend P \u3c .001). Infants with CS born alive at \u3c28 weeks’ gestation (relative risk, 107.4; P\u3c .001) or born weighing\u3c1500 g (relative risk, 43.9; P \u3c .001) were at greatly increased risk of death. CONCLUSION: CS remains an important preventable cause of perinatal morbidity and mortality, with comparable case fatality ratios during 1999 through 2013 (6.5%) and 1992 through 1998 (6.4%). Detection and treatment of syphilis early during pregnancy remain crucial to reducing CS morbidity and mortality

Using social media as a tool to predict syphilis

Syphilis rates have been rapidly rising in the United States. New technologies, such as social media, might be used to anticipate and prevent the spread of disease. Because social media data collection is easy and inexpensive, integration of social media data into syphilis surveillance may be a cost-effective surveillance strategy, especially in low-resource regions. People are increasingly using social media to discuss health-related issues, such as sexual risk behaviors, allowing social media to be a potential tool for public health and medical research. This study mined Twitter data to assess whether social media could be used to predict syphilis cases in 2013 based on 2012 data. We collected 2012 and 2013 county-level primary and secondary (P&S) and early latent syphilis cases reported to the Center for Disease Control and Prevention, along with >8500 geolocated tweets in the United States that were filtered to include sexual risk-related keywords, including colloquial terms for intercourse. We assessed the relationship between syphilis-related tweets and actual case reports by county, controlling for socioeconomic indicators and prior year syphilis cases. We found a significant positive relationship between tweets and cases of P&S and early latent syphilis. This study shows that social media may be an additional tool to enhance syphilis prediction and surveillance