Human Immunodeficiency Virus in the South: An Epidemic Within an Epidemic.

The authors examine the HIV epidemic in the Southern United States, emphasizing its severe impact on minority and young populations. The authors highlight challenges including limited health care access, systemic racism influencing social determinants of health, and lesbian, gay, bisexual, transgender, and queer+ stigma. The South faces a critical human immunodeficiency virus (HIV) workforce shortage, especially in rural areas, and struggles with coexisting syndemics like other sexually transmitted infections and substance-use disorders. The authors describe comprehensive strategies such as Medicaid expansion, workforce enhancement, stigma reduction, and policy reforms to improve HIV prevention and treatment, emphasizing the need for a multifaceted approach to improve health outcomes for those living with HIV in the South.

Development of a Machine Learning Modeling Tool for Predicting HIV Incidence Using Public Health Data From a County in the Southern United States.

BACKGROUND: Advancements in machine learning (ML) have improved the accuracy of models that predict human immunodeficiency virus (HIV) incidence. These models have used electronic medical records and registries. We aim to broaden the application of these tools by using deidentified public health datasets for notifiable sexually transmitted infections (STIs) from a southern US county known for high HIV incidence. The goal is to assess the feasibility and accuracy of ML in predicting HIV incidence, which could inform and enhance public health interventions. METHODS: We analyzed 2 deidentified public health datasets from January 2010 to December 2021, focusing on notifiable STIs. Our process involved data processing and feature extraction, including sociodemographic factors, STI cases, and social vulnerability index (SVI) metrics. Various ML models were trained and evaluated for predicting HIV incidence using metrics such as accuracy, precision, recall, and F1 score. RESULTS: We included 85 224 individuals; 2027 (2.37%) were newly diagnosed with HIV during the study period. The ML models demonstrated high performance in predicting HIV incidence among males and females. Influential features for males included age at STI diagnosis, previous STI information, provider type, and SVI. For females, predictive features included age, ethnicity, previous STI information, overall SVI, and race. CONCLUSIONS: The high accuracy of our ML models in predicting HIV incidence highlights the potential of using public health datasets for public health interventions such as tailored HIV testing and prevention. While these findings are promising, further research is needed to translate these models into practical public health applications.

Infectious Diseases Among People Experiencing Homelessness: A Systematic Review of the Literature in the United States and Canada, 2003-2022.

Homelessness increases the risk of acquiring an infectious disease. We conducted a systematic review of the literature to identify quantitative data related to infectious diseases and homelessness. We searched Google Scholar, PubMed, and SCOPUS for quantitative literature published from January 2003 through December 2022 in English from the United States and Canada. We excluded literature on vaccine-preventable diseases and HIV because these diseases were recently reviewed. Of the 250 articles that met inclusion criteria, more than half were on hepatitis C virus or Mycobacterium tuberculosis. Other articles were on COVID-19, respiratory syncytial virus, Staphylococcus aureus, group A Streptococcus, mpox (formerly monkeypox), 5 sexually transmitted infections, and gastrointestinal or vectorborne pathogens. Most studies showed higher prevalence, incidence, or measures of risk for infectious diseases among people experiencing homelessness as compared with people who are housed or the general population. Although having increased published data that quantify the infectious disease risks of homelessness is encouraging, many pathogens that are known to affect people globally who are not housed have not been evaluated in the United States or Canada. Future studies should focus on additional pathogens and factors leading to a disproportionately high incidence and prevalence of infectious diseases among people experiencing homelessness.

Barriers and Facilitators to HIV Service Access among Hispanic/Latino Gay, Bisexual, and Other Men Who Have Sex with Men in Metropolitan Atlanta-a Qualitative Analysis.

Hispanic/Latino persons are disproportionately impacted by HIV in the US, and HIV diagnoses among Hispanic/Latino men in Georgia have increased over the past decade, particularly in metropolitan Atlanta. In 2022, the Georgia Department of Public Health detected five clusters of rapid HIV transmission centered among Hispanic/Latino gay, bisexual, and other men who have sex with men (HLMSM) in metropolitan Atlanta. We conducted in-depth interviews with 65 service providers and 29 HLMSM to identify barriers and facilitators to HIV service access for HLMSM. Interviews were audio recorded, transcribed, and translated, if needed. Initial data analyses were conducted rapidly in the field to inform public health actions. We then conducted additional analyses including line-by-line coding of the interview transcripts using a thematic analytic approach. We identified four main themes. First, inequity in language access was a predominant barrier. Second, multiple social and structural barriers existed. Third, HLMSM encountered intersectional stigma. Finally, the HLMSM community is characterized by its diversity, and there is not a one-size-fits-all approach to providing appropriate care to this population. The collection of qualitative data during an HIV cluster investigation allowed us to quickly identity barriers experienced by HLMSM when accessing HIV and other medical care, to optimize public health response and action. Well-designed program evaluation and implementation research may help elucidate specific strategies and tools to reduce health disparities, ensure equitable service access for HLMSM, and reduce HIV transmission in this population.

Mpox and HIV: a Narrative Review.

PURPOSE OF REVIEW: We reviewed the available literature on mpox in People with HIV (PWH). We highlight special considerations of mpox infection related to epidemiology, clinical presentation, diagnostic and treatment considerations, prevention, and public health messaging in PWH. RECENT FINDINGS: During the 2022 mpox outbreak, PWH were disproportionally impacted worldwide. Recent reports suggest that the disease presentation, management, and prognosis of these patients, especially those with advanced HIV disease, can widely differ from those without HIV-associated immunodeficiency. Mpox can often be mild and resolve on its own in PWH with controlled viremia and higher CD4 counts. However, it can be severe, with necrotic skin lesions and protracted healing; anogenital, rectal, and other mucosal lesions; and disseminated organ systems involvement. Higher rates of healthcare utilization are seen in PWH. Supportive, symptomatic care and single or combination mpox-directed antiviral drugs are commonly used in PWH with severe mpox disease. Data from randomized clinical control trials on the efficacy of therapeutic and preventive tools against mpox among PWH are needed to better guide clinical decisions.

Soft Tissue, Bone, and Joint Infections in People Who Inject Drugs.

Infections are a common complication among people who inject drugs (PWID). Skin and soft tissue infections (SSTI) as well as bone and joint infections comprise a significant source of morbidity and mortality among this population. The appropriate recognition and management of these infections are critical for providers, as is familiarity with harm-reduction strategies. This review provides an overview of the presentation and management of SSTI and bone and joint infections among PWID, as well as key prevention measures that providers can take.