Background: Lower reproductive tract infections in women are important causes of morbidity but can also lead to complications and sequelae. This study aimed to establish the prevalence and risk factors of lower genital tract infections among women of reproductive age in Dakar (Senegal). Methods: This was a prospective study conducted in 6 maternity hospitals from July to November 2015. Participants ranged in age from 18 to 49 years and presented at health facilities with signs and symptoms of genital infection. Consenting individuals who met the inclusion criteria were recruited for the study. Results: During the reporting period, 276 patients were enrolled. According to the laboratory results, the prevalence of any genital infection was 69.6% (192 of 276). The most common vaginal infections were bacterial vaginosis (39.5%) and vaginal candidiasis (29%), with the third most common cause, trichomoniasis, trailing behind in terms of prevalence (2.5%). Among the microorganisms responsible for cervical infections, Ureaplasma urealyticum was the most frequent (27.5%), followed by Mycoplasma hominis (14.5%), Chlamydia trachomatis (4.7%), and Neisseria gonorrhoeae (1.1%). Multivariate analysis showed that young women and women with low levels of education were at increased risk for vaginal/cervical infections. Conclusions: This study revealed a high prevalence of bacterial vaginosis and vaginal candidiasis and suggests that health care providers should increase awareness and communication to improve vaginal hygiene practices. If infection with Trichomonas vaginalis, C trachomatis or N gonorrhoeae is suspected, we also recommend systematically performing laboratory diagnostic confirmation.

This study highlights the limitations of the applicability of the WHO syndromic approach in settings with low prevalence of sexually transmitted infections (STIs) and calls for affordable and accurate rapid tests for STIs.

This article presents results from a study that explored the association between community capacity for maternal health promotion and women’s use of preventive and curative maternal health services. Implemented in the Republic of Guinea, the intervention aimed to build the capacity of community-level committees to heighten awareness about maternal health risks and to promote use of professional maternal health services throughout pregnancy and childbirth. Data were collected through a population-based survey. A total of 2335 women of reproductive age were interviewed, including 878 with a live birth or stillbirth since the launch of the intervention. An index of community capacity was created to explore the effect of living in a community with strong community-level resources and support for maternal health. Other composite variables were created to measure the content of women’s antenatal counselling and their individual exposure to maternal health promotion activities at the community level. Multivariate logistic regression was used to explore the effect of community capacity and individual exposure variables on women’s use of antenatal care (ANC) (≥4 visits), institutional delivery, and care for complications. Our results show that women living in communities with a high score on the Community Capacity Index were more than twice as likely as women in communities with low score to attend at least four ANC visits, to deliver in a health facility, and to seek care for perceived complications. Building the capacity of community-level cadres to promote maternity care-seeking by women in their villages is an important complement to facility-level interventions to increase the availability, quality and utilization of essential health services.

Socio-economic inequalities in Québec tended to narrow for most but not all outcomes. Absolute socio-economic inequalities persisted for children <10 years, and several causes were responsible for the majority of inequality in hospitalisation. Public health policies and prevention programs aiming to reduce socio-economic inequalities in paediatric health should account for trends that differ across age and cause of disease.

Transmission trees can be established through detailed contact histories, statistical or phylogenetic inference, or a combination of methods. Each approach has its limitations, and the extent to which they succeed in revealing a ‘true’ transmission history remains unclear. In this study, we compared the transmission trees obtained through contact tracing investigations and various inference methods to identify the contribution and value of each approach. We studied eighty-six sequenced cases reported in Guinea between March and November 2015. Contact tracing investigations classified these cases into eight independent transmission chains. We inferred the transmission history from the genetic sequences of the cases (phylogenetic approach), their onset date (epidemiological approach), and a combination of both (combined approach). The inferred transmission trees were then compared to those from the contact tracing investigations. Inference methods using individual data sources (i.e. the phylogenetic analysis and the epidemiological approach) were insufficiently informative to accurately reconstruct the transmission trees and the direction of transmission. The combined approach was able to identify a reduced pool of infectors for each case and highlight likely connections among chains classified as independent by the contact tracing investigations. Overall, the transmissions identified by the contact tracing investigations agreed with the evolutionary history of the viral genomes, even though some cases appeared to be misclassified. Therefore, collecting genetic sequences during outbreak is key to supplement the information contained in contact tracing investigations. Although none of the methods we used could identify one unique infector per case, the combined approach highlighted the added value of mixing epidemiological and genetic information to reconstruct who infected whom.