Bacterial vaginosis (BV) affects women of reproductive age and can either be symptomatic or asymptomatic. Approximately 50% of women are symptomatic and experience vaginal malodor, discharge, itching and increased vaginal pH. BV can increase the risk of contracting many sexually transmitted infections (STIs) such as human immunodeficiency virus (HIV), Neisseria gonorrhea (NG), Chlamydia trachomatis (CT), Trichomonas vaginalis (TV) and herpes simplex virus-2 (HSV-2). Though effective treatment options do exist, metronidazole or clindamycin, these methods have proven not to be effective long term. The purpose of this review is to summarize current literature on the epidemiology of BV and highlight areas of deficiency in current clinical practice with respect to BV.BV recurrence rates are high, approximately 80% three months after effective treatment. Furthermore, in some instances treatment is ineffective and BV persists. Literature also documents the relationship between BV and human papillomavirus (HPV). HPV is the most common sexually transmitted infection among young adult women while BV is the most common cause of vaginal symptoms among women of reproductive age. BV is associated with high levels of anaerobic organisms which can damage the vaginal epithelium and increase the risk of HPV infection. Recent research also highlights the role of the vaginal microbiome in BV. The results of this review warrant further exploration into the etiology of BV as well as exploration of more long-term effective treatment and the investigation of prognostic indicators. Additionally, the need for a standard definition of recurrent and persistent BV is recognized.

Purpose: The purpose of this ecological study was to understand the impact of the density of African American (AA) communities on coronavirus disease 2019 (COVID-19) prevalence and death rate within the three most populous counties in each U.S. state and territory ( n =152). Methods: An ecological design was employed for the study. The top three most populous counties of each U.S. state and territory were included in analyses for a final sample size of n =152 counties. Confirmed COVID-19 cases and deaths that were accumulated between January 22, 2020 and April 12, 2020 in each of the three most populous counties in each U.S. state and territory were included. Linear regression was used to determine the association between AA density and COVID-19 prevalence (defined as the percentage of cases for the county population), and death rate (defined as number of deaths per 100,000 population). The models were adjusted for median age and poverty. Results: There was a direct association between AA density and COVID-19 prevalence; COVID-19 prevalence increased 5% for every 1% increase in county AA density ( p <0.01). There was also an association between county AA density and COVID-19 deaths; the death rate increased 2 per 100,000 for every percentage increase in county AA density ( p =0.02). Conclusion: These findings indicate that communities with a high AA density have been disproportionately burdened with COVID-19. To help develop effective interventions and programs that address this disparity, further study is needed to understand social determinants of health driving inequities for this community.

Importance: The novel Coronavirus Disease 2019 (COVID-19), declared a pandemic in March 2020, may present with disproportionately higher rates in underrepresented racial/ethnic minority populations in the United States, including African American communities who have traditionally been over-represented in negative health outcomes. Study Objective: To understand the impact of the density of African American communities (defined as the percentage of African Americans in a county) on COVID-19 prevalence and death rate within the three most populous counties in each U.S. state and territory (n=152). Design: An ecological study using linear regression was employed for the study. Setting: The top three most populous counties of each U.S. state and territory were included in analyses for a final sample size of n=152 counties. Participants: Confirmed COVID-19 cases and deaths that were accumulated between January 22, 2020 and April 12, 2020 in each of the three most populous counties in each U.S. state and territory were included. Main outcome measures: Linear regression was used to determine the association between African American density and COVID-19 prevalence (defined as the percentage of cases for the county population), and death rate (defined as number of deaths per 100,000 population). The models were adjusted for median age and poverty. Results: There was a direct association between African American density and COVID-19 prevalence; COVID-19 prevalence increased 5% for every 1% increase in county AA density (p<.01). There was also an association between county AA density and COVID-19 deaths, such; the death rate increased 2 per 100,000 for every percentage increase in county AA density (p=.02). Conclusion: These study findings indicate that communities with a high African American density have been disproportionately burdened with COVID-19. Further study is needed to indicate if this burden is related to environmental factors or individual factors such as types of employment or comorbidities that members of these community have.

Background: Despite being largely preventable, HPV-related cervical cancers continues to be the second highest cause of cancer deaths among Indian women. HPV testing using self-sampled samples may offer an opportunity to expand cervical cancer screening in India where there is currently a shortage of providers and facilities for cervical cancer screening. The study examines acceptability and concordance of self vs. clinician collected samples for HPVrelted cervical cancer screening among rural South Indian women. Methods: Between May and August 2017, eight mobile screening clinics were conducted among 120 eligible women in rural villages in Mysore District, India. Women over the age of 30 underwent informed consent process and then self-sampled a sample for cervicovaginal HPV DNA testing. Next, the women underwent clinical exam where the clinician collected a cervicovaginal HPV DNA sample. Following the clinical exam, all participants answered an interviewer-administered questionnaire to assess their history of cervical cancer screening and acceptability of self-and clinician-sampling methods. To assess diagnostic accuracy, concordance of self-and clinician-sampled HPV DNA specimens was calculated in addition to five measures of acceptability (feeling of caring, privacy, embarrassment, genital discomfort, and genital pain). Results: Study participants had a median age 39 years, about four-in-ten (41.7%) had a secondary education or above, the vast majority (87.5%) were married and only 3.4% reported having screened for cervical cancer. For all measures of participant acceptability, self-sampling was rated significantly higher than clinician-sampling. Cohen's kappa was 0.73 (95% CI: 0.34, 1.00), indicating substantial agreement between self-and clinician-sampling. Conclusion: This study demonstrates that HPV self-sampling for cervical cancer screening is feasible and acceptable in a community setting among South Indian rural women. Concordance between self-sampling and clinician-sampling was adequate for screening in community settings.

Highlights Early age of onset of cannabis use among adolescents is associated with increased likelihood of poor cognitive function and mental health. Persistent cannabis use is associated with decreased academic performance scores. Racial disparities exist among adolescent cannabis users as well as the negative sequalae associated with cannabis use in this group. Adolescents from states with medical marijuana laws were less likely to use marijuana in the past 30 days. Mitigation methods associated with COVID-19 could directly impact cannabis use and mental health among adolescents.