Is San Diego California on Track to Reach HCV Elimination? A Modeling Analysis of Combination Prevention Strategies.

In 2020, the in the county of San Diego (COSD) was launched, a private-public joint endeavor between the COSD and the American Liver Foundation. We use epidemic modeling to assess whether the COSD is on track to reach its elimination targets (80% reduction in incidence, 65% reduction in hepatitis C virus (HCV)-related mortality by 2030 compared to 2015) and what intervention scale-up may be required. We adapted a previously developed dynamic, deterministic model of HCV transmission and disease progression among adults in the COSD, stratified by risk, age, gender, and human immunodeficiency virus (HIV) status.

AutoML-Driven Insights into Patient Outcomes and Emergency Care During Romania's First Wave of COVID-19.

Background: The COVID-19 pandemic severely impacted healthcare systems, affecting patient outcomes and resource allocation. This study applied automated machine learning (AutoML) to analyze key health outputs, such as discharge conditions, mortality, and COVID-19 cases, with the goal of improving responses to future crises.

Methods: AutoML was used to train and validate models on an ICD-10 dataset covering the first wave of COVID-19 in Romania (January-September 2020).

Genome-wide meta-analyses of non-response to antidepressants identify novel loci and potential drugs.

Antidepressants exhibit a considerable variation in efficacy, and increasing evidence suggests that individual genetics contribute to antidepressant treatment response. Here, we combined data on antidepressant non-response measured using rating scales for depressive symptoms, questionnaires of treatment effect, and data from electronic health records, to increase statistical power to detect genomic loci associated with non-response to antidepressants in a total sample of 135,471 individuals prescribed antidepressants (25,255 non-responders and 110,216 responders). We performed genome-wide association meta-analyses, genetic correlation analyses, leave-one-out polygenic prediction, and bioinformatics analyses for genetically informed drug prioritization.

Leisure participation and mental health among middle-aged and older adults with physical disabilities: a systematic review.

Purpose: To examine the effects of leisure participation on mental health for middle-aged and older adults with physical disabilities.

Materials And Methods: A systematic review conducted in March-May 2022 with an updated search in February 2024 retrieved data from MEDLINE, CINAHL, PsycInfo, and EMBASE. Inclusion criteria included a study population with a mean age ≥45 years and with physical disability, and original, peer-reviewed literature.

From cells to recapture rates: responses and recovery of a wild fish after an experimental exposure to a widely used herbicide.

Freshwater environments are biodiversity hotspots under multiple pressures, including pesticide exposure. S-metolachlor, a widely used herbicide, can induce genotoxic, cytotoxic and physiological effects in captive fish, but we have a limited understanding of the effects of exposure to S-metolachlor in free-living vertebrates. We carried out an original field experiment using integrative approaches across biological levels and temporal scales.