HIV Response Interventions that Integrate HIV Molecular Cluster and Social Network Analysis: A Systematic Review.

Due to improved efficiency and reduced cost of viral sequencing, molecular cluster analysis can be feasibly utilized alongside existing human immunodeficiency virus (HIV) prevention strategies. The goal of this paper is to elucidate how HIV molecular cluster and social network analyses are being integrated to implement HIV response interventions. We searched PubMed, Scopus, PsycINFO, and Cochrane Library databases for studies incorporating both HIV molecular cluster and social network data.

Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study.

Background: Mental illness and substance use are prevalent among people living with HIV and often lead to poor health outcomes. Electronic medical record (EMR) data are increasingly being utilized for HIV-related clinical research and care, but mental illness and substance use are often underdocumented in structured EMR fields. Natural language processing (NLP) of unstructured text of clinical notes in the EMR may more accurately identify mental illness and substance use among people living with HIV than structured EMR fields alone.

A Case Series of Five People Living with HIV Hospitalized with COVID-19 in Chicago, Illinois.

The risk of COVID-19 among people living with HIV (PLWH) is largely unknown and there have been very few reported cases in the literature. We report a case series of five PLWH with COVID-19. We identified all patients with a diagnosis of HIV who tested positive for SARS-CoV-2 at University of Chicago Medicine between March 1, 2020, and April 7, 2020.