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Research
Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levelso 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.
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Health system and environmental factors affecting global progress towards achieving End TB targets between 2015 and 2020Health 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.
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Airborne personal protective equipment availability and preparedness in Australian and New Zealand intensive care units: A point prevalence surveyPersonal protective equipment is essential to protect healthcare workers when exposed to aerosol-generating procedures in patients with airborne respiratory pathogens.
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Understanding wellbeing from the perspective of youth with chronic conditions: A group concept mapping approachPromoting wellbeing for youth is a global health priority and young people with chronic conditions demonstrate disproportionately low wellbeing compared to their peers. However, wellbeing is variably defined, and little is understood as to what wellbeing means for this population. The aim of this study was to develop a conceptualisation of wellbeing that is rooted in the perspectives of young people with chronic conditions.
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Empowering quality education through sustainable and equitable electricity access in African schoolsAlthough most people born this century will be educated in African schools, these schools often lack basic infrastructure, such as electricity and/or lighting. In the face of a rapidly growing school-age population in Africa, the electrification of educational facilities is not just an infrastructural challenge but also a pivotal investment in the continent’s future workforce.
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Perinatal psychiatric emergencies in rural Australia: In urgent need of attentionThe 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.
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Rett Syndrome Behaviour Questionnaire: Variability of Scores and Related FactorsRett syndrome (RTT) is a severe neurodevelopmental disorder affecting predominantly females and associated with variants in the MECP2 gene. Recent success in clinical trials have resulted in an expanded use of the Rett Syndrome Behaviour Questionnaire (RSBQ) for clinical and research purposes.
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Preclinical Assessment of Dactinomycin in KMT2A-Rearranged Infant Acute Lymphoblastic LeukemiaInfants with KMT2A-rearranged B-cell acute lymphoblastic leukemia (ALL) have high rates of relapse and poor survival compared with children. Few new therapies have been identified over the past twenty years. The aim of this study was to identify existing anti-cancer agents that have the potential to be repurposed for the treatment of infant ALL.
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#TransTok: a digital ethnographic study using content analysis to investigate transgender and gender diverse ‘for you page’ content on TikTok that may affect mental healthTransgender and gender diverse (“trans”) people are more likely to experience adverse mental health outcomes due to the social adversities that are commonly experienced. One ameliorating factor for poor mental health outcomes can be connection to community, often facilitated in online spaces such as TikTok.
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Predicting immune protection against outcomes of infectious disease from population-level effectiveness data with application to COVID-19Quantifying 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.