Boje Herman (mapdinghy79)

HIV molecular epidemiology is increasingly integrated into public health prevention. We conducted cluster typing to enhance characterization of a densely-sampled statewide epidemic towards informing public health. We identified HIV clusters, categorized them into types, and evaluated their dynamics between 2004-2019 in Rhode Island (RI). We grouped sequences by diagnosis year, assessed cluster changes between paired phylogenies, t0 and t1, representing adjacent years and categorized clusters as stable (cluster in t0 phylogeny = cluster in t1 phylogeny) or unstable (cluster in t0 ≠ cluster in t1). Unstable clusters were further categorized as emerging (t1 phylogeny only) or growing (larger in t1 phylogeny). We determined proportions of each cluster type, of individuals in each cluster type, and of newly-diagnosed individuals in each cluster type, and assessed trends over time. A total of 1,727 individuals with available HIV-1 subtype B pol sequences were diagnosed in RI by 2019. Over time, stable cluster-state transmission networks. Cluster typing could inform public health beyond conventional approaches and direct interventions. Peripheral neuropathies in HIV-infected patients are highly debilitating because of neuropathic pain and physical disabilities. We defined prevalence and associated predictive variables for peripheral neuropathy subtypes in a cohort of persons living with HIV (PWH). Adult PWH in clinical care were recruited to a longitudinal study examining neurological complications. Each subject was assessed for symptoms and signs of peripheral neuropathy and demographic, laboratory and clinical variables. Univariate, multiple logistic regression and machine learning analyses were performed by comparing patients with and without peripheral neuropathy. Three patient groups were identified those with peripheral neuropathies (PNP, n = 111) that included HIV-associated distal sensory polyneuropathy (DSP, n = 90) or mononeuropathy (MNP, n = 21), and those without neuropathy (NNP, n = 408). Univariate analyses showed multiple variables differed significantly between the NNP and PNP groups including age, estimated HIV-1 duelated to PNP that were undetected by conventional analyses, emphasizing the importance of statistical algorithmic approaches to understanding complex neurological syndromes. Young adults' drinking habits commonly exceed recommendations for low-risk drinking, which may have a negative effect on their mental, social, and physical health. As smartphones are highly accessible to young adults, mobile apps could be used to support young adults to develop low-risk drinking habits and improve their general health. The objective of this study is to evaluate the effectiveness of Boozebuster, a self-guided mobile app based on healthy lifestyle-related components that aim to develop and maintain low-risk drinking habits among young adults. This two-arm, parallel-group randomized controlled trial will investigate whether a 6-week self-guided mobile intervention (Boozebuster) targeting drinking behavior is more effective than a minimal intervention consisting of an educational website on alcohol use and its consequences for young adults. We will recruit 506 young adults (aged 18-30 years) from the Netherlands via an open recruitment strategy by using an open access website. All outcomes e drinking levels compared to an alcohol educational website (control condition). If effective, our intervention could be an inexpensive and scalable public health intervention to improve drinking habits in young adults. Netherlands Trial Register NL8828; https//. DERR1-10.2196/29750. DERR1-10.2196/29750. Perinatal mental health symptoms commonly remain underdiagnosed and undertreated in maternity care settings in the United Kingdom, with outbreaks of disease, like the COVID-