Closing the gap in race-based inequities for seasonal influenza hospitalizations: a modeling study.

Background: BIPOC (Black, Indigenous, and other People of Color) communities bear a disproportional burden of seasonal influenza hospitalizations in the United States.

Methods: We developed a race-stratified (5 racial-ethnic groups) agent-based model of seasonal influenza transmission and quantify the effects of 5 idealized interventions aimed at reducing inequities in symptomatic infections and hospitalizations. The interventions assumed (i) equalized vaccination rates, (ii) equalized comorbidities, (iii) work-risk distribution proportional to the distribution of the population, (iv) reduced work contacts for all, or (v) a combination of equalizing vaccination rates and comorbidities and reducing work contacts.

Parkinson's families project: a UK-wide study of early onset and familial Parkinson's disease.

The Parkinson's Families Project is a UK-wide study aimed at identifying genetic variation associated with familial and early-onset Parkinson's disease (PD). We recruited individuals with a clinical diagnosis of PD and age at motor symptom onset ≤45 years and/or a family history of PD in up to third-degree relatives. Where possible, we also recruited affected and unaffected relatives.

Evaluating equity-promoting interventions to prevent race-based inequities in influenza outcomes.

Importance: Seasonal influenza hospitalizations pose a considerable burden in the United States, with BIPOC (Black, Indigenous, and other People of Color) communities being disproportionately affected.

Objective: To determine and quantify the effects of different types of mitigation strategies on inequities in influenza outcomes (symptomatic infections and hospitalizations).

Design: In this simulation study, we fit a race-stratified agent-based model of influenza transmission to demographic and hospitalization data of the United States.

The Human Phenotype Ontology in 2024: phenotypes around the world.

The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English.

Securing direct stakeholder feedback to inform clinical research in serious mental illness: Results of a patient and family perspectives survey.

Mental illness research routinely includes unfamiliar or potentially frightening procedures like lumbar puncture (LP), contributing to low enrollment and retention. Previous studies related to LP acceptance have focused on older individuals, and little information on participant preferences for educational materials is available. We developed an online survey assessing existing knowledge, comfort and concerns, and preferences for educational materials in the context of our clinical study on schizophrenia spectrum conditions (SSCs).