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Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levels

o map subnational and local prevalence of drug-resistant tuberculosis (DR-TB) across Africa. We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels.

Determining risk features for medulloblastoma in the molecular era

Nick Gottardo MBChB FRACP PhD Head of Paediatric and Adolescent Oncology and Haematology, Perth Children’s Hospital; Co-head, Brain Tumour Research

Health system and environmental factors affecting global progress towards achieving End TB targets between 2015 and 2020

Health system and environmental factors play a significant role in achieving the World Health Organization End Tuberculosis (TB) targets. However, quantitative measures are scarce or non-existent at a global level. We aimed to measure the progress made towards meeting the global End TB milestones from 2015 to 2020 and identify health system and environmental factors contributing to the success.

Corrigendum to “A Phase III, multicenter, randomized, double-blind, active comparator-controlled study to evaluate the safety, tolerability, and immunogenicity of V114 compared

Peter Richmond MBBS MRCP(UK) FRACP Head, Vaccine Trials Group Head, Vaccine Trials Group Professor Peter Richmond is Head of the Vaccine Trials Group

Perinatal psychiatric emergencies in rural Australia: In urgent need of attention

The burden of perinatal mental illness is a significant global concern, affecting approximately 10–20% of women at this stage of life. It is well recognised that Rural Australia has far less health services and mental health specialists per capita than metropolitan regions. 

The application of population data linkage to capture sibling health outcomes among children and young adults with neurodevelopmental conditions. A scoping review

Siblings of children with neurodevelopmental conditions have unique experiences and challenges related to their sibling role. Some develop mental health concerns as measured by self-reported surveys or parent report. Few data are available at the population level, owing to difficulties capturing wide-scale health data for siblings. Data linkage is a technique that can facilitate such research. 

Nirsevimab immunisation of infants and respiratory syncytial virus (RSV)-associated hospitalisations, Western Australia, 2024: a population-based analysis

Christopher Peter Hannah Blyth Richmond Moore MBBS (Hons) DCH FRACP FRCPA PhD MBBS MRCP(UK) FRACP OAM BSc (Hons) GradDipClinEpi PhD Centre Head,

Septo-optic dysplasia and gastroschisis: trends in birth prevalence and association with maternal age

This study aims to describe the risk factors and trends in birth prevalence of septo-optic dysplasia (SOD) and gastroschisis between 1980 and 2023. This descriptive, population-based study of SOD and gastroschisis used Western Australian Register of Developmental Anomalies data from 1980 to 2023. Birth prevalence was calculated using Midwives Notification System data for all births after 20 weeks gestation.

Culture, Connection and Care: The Role of Institutional Justice Capital for Enhancing the Wellbeing of Aboriginal and Torres Strait Islander Children in Out-Of-Home Care

Ensuring that Aboriginal and Torres Strait Islander children removed from their families by child protection services remain connected to their kin, Country and culture is a priority to begin to redress the intergenerational trauma and harm caused by colonisation. This article describes the views of staff working in three mainstream out-of-home care organisations, where children are cared for by non-Indigenous foster carers.

Predicting immune protection against outcomes of infectious disease from population-level effectiveness data with application to COVID-19

Quantifying the extent to which previous infections and vaccinations confer protection against future infection or disease outcomes is critical to managing the transmission and consequences of infectious diseases. We present a general statistical model for predicting the strength of protection conferred by different immunising exposures (numbers, types, and strains of both vaccines and infections), against multiple outcomes of interest, whilst accounting for immune waning.