Search
Research
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.
Research
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.
Research
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.
Research
Evaluating COVID-19-Related Disruptions to Effective Malaria Case Management in 2020–2021 and Its Potential Effects on Malaria Burden in Sub-Saharan AfricaThe COVID-19 pandemic has led to far-reaching disruptions to health systems, including preventative and curative services for malaria. The aim of this study was to estimate the magnitude of disruptions in malaria case management in sub-Saharan Africa and their impact on malaria burden during the COVID-19 pandemic. We used survey data collected by the World Health Organization, in which individual country stakeholders reported on the extent of disruptions to malaria diagnosis and treatment.
Research
Play Active physical activity policy intervention and implementation support in early childhood education and care: results from a pragmatic cluster randomised trialPolicy interventions to increase physical activity in early childhood education and care (ECEC) services are effective in increasing physical activity among young children. However, a large proportion of ECEC services do not have nor implement a physical activity policy.
Research
The Future Healthy Countdown 2030 consensus statement: core policy actions and measures to achieve improvements in the health and wellbeing of children, young people and future generationsThis consensus statement recommends eight high-level trackable policy actions most likely to significantly improve health and wellbeing for children and young people by 2030. These policy actions include an overarching policy action and span seven interconnected domains that need to be adequately resourced for every young person to thrive: Material basics; Valued, loved and safe; Positive sense of identity and culture; Learning and employment pathways; Healthy; Participating; and Environments and sustainable futures.
Research
Influence of maternal and infant technology use and other family factors on infant developmentSteve Desiree Zubrick Silva FASSA, FAAMHS, MSc AM PhD MBBS, FRACP, MPH, PhD Honorary Emeritus Research Fellow Co-Director, ORIGINS 08 6319 1409
Research
Fine-grained Fidgety Movement Classification using Active LearningTypically developing infants, between the corrected age of 9-20 weeks, produce fidgety movements. These movements can be identified with the General Movement Assessment, but their identification requires trained professionals to conduct the assessment from video recordings.
Research
Costs of primary healthcare presentations and hospital admissions for scabies and related skin infections in Fiji, 2018–2019Scabies and related bacterial skin and soft tissue infections are highly prevalent in many tropical, low- and middle-income settings. These skin conditions contribute to higher healthcare costs and burdens on healthcare systems.
Research
A near-complete genome of the uncultured Staphylococcus aureus phage COMBAT-CF_PAR1 isolated from the lungs of an infant with cystic fibrosisIn cystic fibrosis, bacteria–bacteriophage interaction in the lower airways is poorly understood. We present the near-complete genome of the uncultured Siphovirus-like bacteriophage, Staphylococcus aureus phage COMBAT-CF_PAR1, isolated from the lower airways. The genome spans 41,510 bp with 33.45% guanine–cytosine content and contains 65 open reading frames.