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Respiratory syncytial virus in children: epidemiology and clinical impact post-COVID-19Respiratory 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.
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Prospects for the future: supporting the elimination of rheumatic heart disease – a National Heart, Lung, and Blood Institute Workshop ProceedingsJonathan Carapetis AM AM MBBS FRACP FAFPHM PhD FAHMS Executive Director; Co-Head, Strep A Translation; Co-Founder of REACH 08 6319 1000 contact@
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Superior immunogenicity of mRNA over adenoviral vectored COVID-19 vaccines reflects B cell dynamics independent of anti-vector immunity: Implications for future pandemic vaccinesBoth vector and mRNA vaccines were an important part of the response to the COVID-19 pandemic and may be required in future outbreaks and pandemics. The aim of this study was to validate whether immunogenicity differs for adenoviral vectored (AdV) versus mRNA vaccines against SARS-CoV-2, and to investigate how anti-vector immunity and B cell dynamics modulate immunogenicity.
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Coexisiting type 1 diabetes and celiac disease is associated with lower Hba1c when compared to type 1 diabetes alone: data from the Australasian Diabetes Data Network (ADDN) registryTo compare HbA1c and clinical outcomes in adolescents and young adults with type 1 diabetes, with or without celiac disease.
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Inflammation induces α1-adrenoceptor expression in peripheral blood mononuclear cells of patients with complex regional pain syndromePersistent regional and systemic inflammation may promote pain and hyperalgesia in complex regional pain syndrome. In this study, we investigated whether stimulation of α1-adrenoceptors on peripheral blood mononuclear cells might contribute to this inflammatory state.
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Comparison of new computational methods for spatial modelling of malariaGeostatistical analysis of health data is increasingly used to model spatial variation in malaria prevalence, burden, and other metrics. Traditional inference methods for geostatistical modelling are notoriously computationally intensive, motivating the development of newer, approximate methods for geostatistical analysis or, more broadly, computational modelling of spatial processes.
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Tertiary prevention and treatment of rheumatic heart disease: a National Heart, Lung, and Blood Institute working group summaryAlthough entirely preventable, rheumatic heart disease, a disease of poverty and social disadvantage resulting in high morbidity and mortality, remains an ever-present burden in low-income and middle-income countries and rural, remote, marginalised and disenfranchised populations within high-income countries.
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Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modelingStudies have shown that stunting and wasting indicators are strongly correlated among children, with the potential of concurrently affecting their physical and cognitive development. However, the identification of subpopulations of children with varying risks of stunting and wasting could be valuable for targeted intervention.
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A Deep Learning-Based System for the Assessment of Dental Caries Using Colour Dental PhotographsDental caries remains the most common chronic disease in childhood, affecting almost half of all children globally. Dental care and examination of children living in remote and rural areas is an ongoing challenge that has been compounded by COVID.
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Cohort profile: The WAACHS Linked Data StudyDespite the volume of accumulating knowledge from prospective Aboriginal cohort studies, longitudinal data describing developmental trajectories in health and well-being is limited.