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Research

Residential mobility amongst children and young people in Wales: A longitudinal study using linked administrative records

Child poverty remains a major global concern and a child's experience of deprivation is heavily shaped by where they live and the stability of their local neighbourhood. This study examines frequencies and patterns of residential mobility in children and young people at a population level using novel geospatial techniques to assess how often their physical environment changes and to identify geographical variations in social mobility.

Research

Epigenome-Wide Association Studies of Chronic Obstructive Pulmonary Disease and Lung Function: A Systematic Review

Chronic obstructive pulmonary disease (COPD) results from gene-environment interactions over the lifetime. These interactions are captured by epigenetic changes, such as DNA methylation.  

Research

Mapping fertility rates at national, sub-national, and local levels in Ethiopia between 2000 and 2019

Fertility rates are key indicators of population health and demographic change, influencing economic development, healthcare planning, and social policies. Understanding subnational variation in fertility rate is important for effective geographical targeting and policy prioritization. This study aimed to identify geographic variation, trends, and determinants of fertility rates in Ethiopia over the past two decades.  

Research

Sensitivity and specificity of Aboriginal-developed items to supplement the adapted PHQ-9 screening measure for depression: results from the Getting it Right study

Citation: Skinner T, Brown A, Teixeira-Pinto A, et al. Sensitivity and specificity of Aboriginal-developed items to supplement the adapted PHQ-9

Research

Web-Based Self-Compassion Training to Improve the Well-Being of Youth With Chronic Medical Conditions: Randomized Controlled Trial

Up to one-third of young people live with chronic physical conditions (eg, diabetes, asthma, and autoimmune disease) that frequently involve recurrent pain, fatigue, activity limitations, stigma, and isolation.

Research

‘Black Out Rage Gallon’ (aka borg): An investigation of a risky drinking trend on TikTok

A 'Black Out Rage Gallon' (borg) is a customised, individual alcoholic beverage popularised on TikTok, whereby half the water in a gallon jug is replaced with alcohol (usually spirits), flavourings, electrolytes and caffeine. We investigated the characteristics and portrayal of the emerging alcohol trend associated with the hashtag descriptor #borg on TikTok.

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Respiratory syncytial virus in children: epidemiology and clinical impact post-COVID-19

Respiratory syncytial virus (RSV) remains a leading cause of mortality and morbidity worldwide. RSV seasonality was disrupted by COVID-19-associated nonpharmaceutical interventions (NPIs). We review RSV seasonality, molecular epidemiology, clinical manifestations, and community awareness to inform future prevention strategies.

Research

ISOM 2023 research Panel 4 - Diagnostics and microbiology of otitis media

To identify and review key research advances from the literature published between 2019 and 2023 on the diagnosis and microbiology of otitis media (OM) including acute otitis media (AOM), recurrent AOM (rAOM), otitis media with effusion (OME), chronic suppurative otitis media (CSOM) and AOM complications (mastoiditis). 

Research

First Nations populations' perceptions, knowledge, attitudes, beliefs, and myths about prevention and bereavement in stillbirth: a mixed methods systematic review protocol

The objective of this review is to investigate First Nations populations' perceptions, knowledge, attitudes, beliefs, and myths about stillbirth.

Research

Reproducible Bioinformatics Analysis Workflows for Detecting IGH Gene Fusions in B-Cell Acute Lymphoblastic Leukaemia Patients

B-cell acute lymphoblastic leukaemia (B-ALL) is characterised by diverse genomic alterations, the most frequent being gene fusions detected via transcriptomic analysis (mRNA-seq). Due to its hypervariable nature, gene fusions involving the Immunoglobulin Heavy Chain (IGH) locus can be difficult to detect with standard gene fusion calling algorithms and significant computational resources and analysis times are required. We aimed to optimize a gene fusion calling workflow to achieve best-case sensitivity for IGH gene fusion detection.