Introduction

Although HIV stigma has been identified as an important risk factor for HIV transmission risk behaviors, little is known about the contribution of community-level HIV stigma to HIV transmission risk behaviors and self-reported sexually transmitted diseases (STDs) or how gender may modify associations.

Methods

We pooled data from the 2008 and 2013 Sierra Leone Demographic and Health Surveys. For HIV stigma, we examined HIV stigmatizing attitudes and HIV disclosure concerns at both individual and community levels. Outcomes of HIV transmission risk behaviors were recent condom usage, consistent condom usage, and self-reported STDs. We assessed associations with multivariable logistic regressions. We also analyzed gender as an effect modifier of these associations.

Results

Of 34,574 respondents, 24,030 (69.5%) who had heard of HIV were included in this analysis. Community-level HIV stigmatizing attitudes and disclosure concerns were associated with higher odds of self-reported STDs (adjusted odds ratio = 2.07; 95% confidence interval: 1.55 to 2.77; adjusted odds ratio = 2.95; 95% confidence interval: 1.51 to 5.58). Compared with men, community-level HIV stigmatizing attitudes among women were a stronger driver of self-reported STDs (interaction P = 0.07). Gender modified the association between community-level HIV disclosure concerns and both recent and consistent condom usage (interaction P = 0.03 and P = 0.002, respectively). Community-level HIV disclosure concerns among women were observed to be a driver of risky sex and self-reported STDs.

Conclusions

This study shows that community-level HIV stigma may be a driver for risky sex and self-reported STDs, particularly among women. Our findings suggest that community-held stigmatizing beliefs and HIV disclosure concerns among women might be important targets for HIV stigma reduction interventions.

After severe neurocognitive decline developed in an otherwise healthy 63-year-old man, brain magnetic resonance imaging showed eosinophilic meningoencephalitis and enhancing lesions. The patient tested positive for antibodies to Baylisascaris spp. roundworms, was treated with albendazole and dexamethasone, and showed improvement after 3 months. Baylisascariasis should be considered for all patients with eosinophilic meningitis.

Populations at high risk for COVID-19- including Spanish speakers-may face additional barriers to obtaining COVID-19 vaccinations; by understanding their challenges, we can create more equitable vaccine interventions. In this study, we used interviews to identify barriers and enablers to COVID-19 vaccine uptake among participants in the San Francisco Department of Public Health contact tracing program. Data analysis employed Capability, Opportunity, Motivation Behavior model (COM-B) and the Behavior Change Wheel framework as guides to target barriers with interventions and supporting policies. This paper presents data from interviews focused on COVID-19 vaccine uptake that was part of a project to improve COVID-19 preventive behaviors in San Francisco. We completed seventeen interviews between February and May 2021; six (35%) were completed in English and 11 (65%) in Spanish. Barriers to vaccine uptake included an unprepared health system, fear of side effects, limited knowledge, and conflicting information. Behavioral factors influencing vaccine uptake were mainly related to physical opportunity, automatic motivation, and psychological capability. Interventions that could address the most significant number of barriers included education, enablement, and environmental restructuring. Finally, communication and marketing policies that use diverse multi-lingual social media and environmental planning that includes accessible vaccine sites for people with disabilities, literacy barriers, and limited English proficiency could significantly increase vaccination. Public health departments should tailor interventions to high-risk populations by understanding the specific barriers they face. This exploratory study suggests how implementation science can provide frameworks to achieve this.

Objective

Identification of a particular cause of meningoencephalitis can be challenging owing to the myriad bacteria, viruses, fungi, and parasites that can produce overlapping clinical phenotypes, frequently delaying diagnosis and therapy. Metagenomic deep sequencing (MDS) approaches to infectious disease diagnostics are known for their ability to identify unusual or novel viruses and thus are well suited for investigating possible etiologies of meningoencephalitis.

Methods

We present the case of a 74-year-old woman with endophthalmitis followed by meningoencephalitis. MDS of her cerebrospinal fluid (CSF) was performed to identify an infectious agent.

Results

Sequences aligning to Balamuthia mandrillaris ribosomal RNA genes were identified in the CSF by MDS. Polymerase chain reaction subsequently confirmed the presence of B. mandrillaris in CSF, brain tissue, and vitreous fluid from the patient's infected eye. B. mandrillaris serology and immunohistochemistry for free-living amoebas on the brain biopsy tissue were positive.

Interpretation

The diagnosis was made using MDS after the patient had been hospitalized for several weeks and subjected to costly and invasive testing. MDS is a powerful diagnostic tool with the potential for rapid and unbiased pathogen identification leading to early therapeutic targeting.