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Research
Rapid recruitment of CD14+ monocytes in experimentally induced allergic rhinitis in human subjectsMononuclear phagocyte population is directly involved in the production of proinflammatory chemokines that attract other immune cells
Research
Integrated analyses of zebrafish miRNA and mRNA expression profiles identify miR-29b and miR-223 as potential regulators of optic nerve regenerationZebrafish have the ability to regenerate damaged parts of their central nervous system (CNS) and regain functionality of the affected area.
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Use of high-resolution fluorescence in situ hybridization for fast and robust detection of SARS-CoV-2 RNAsEarly, rapid, and accurate diagnostic tests play critical roles not only in the identification/management of individuals infected by SARS-CoV-2, but also in fast and effective public health surveillance, containment, and response. Our aim has been to develop a fast and robust fluorescence in situ hybridization (FISH) detection method for detecting SARS-CoV-2 RNAs by using an HEK 293 T cell culture model.
Research
Engaging longitudinal cohort participants in a research priority setting process for the Raine StudyThe Raine Study is a long-running study looking at the health and well-being of a group of Western Australian families for over 35 years. Participants are at the heart of the study, shaping its research direction and communication. While participants have previously contributed to research grant development, they had not been directly involved in setting the Raine Study’s overall research agenda.
Research
The Use of Serious Gaming to Improve Sensorimotor Function and Motivation in People with Cerebral Palsy: A Systematic ReviewThe aim of this systematic review was to review the evidence for serious gaming interventions in improving sensorimotor function in children and adults with cerebral palsy (CP). Seven databases were searched with terms related to serious gaming and CP.
Research
Spatial distribution of rotavirus immunization coverage in Ethiopia: a geospatial analysis using the Bayesian approachRotavirus causes substantial morbidity and mortality every year, particularly among under-five children. Despite Rotavirus immunization preventing severe diarrheal disease in children, the vaccination coverage remains inadequate in many African countries including Ethiopia.
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Randomised controlled trial of perinatal vitamin D supplementation to prevent early-onset acute respiratory infections among Australian First Nations children: the 'D-Kids' study protocolGlobally, acute respiratory infections (ARIs) are a leading cause of childhood morbidity and mortality. While ARI-related mortality is low in Australia, First Nations infants are hospitalised with ARIs up to nine times more often than their non-First Nations counterparts.
Research
Identifying individual, household and environmental risk factors for malaria infection on Bioko Island to inform interventionsSince 2004, malaria transmission on Bioko Island has declined significantly as a result of the scaling-up of control interventions. The aim of eliminating malaria from the Island remains elusive, however, underscoring the need to adapt control to the local context. Understanding the factors driving the risk of malaria infection is critical to inform optimal suits of interventions in this adaptive approach.
Research
The Centres for Disease Control light trap and the human decoy trap compared to the human landing catch for measuring Anopheles biting in rural TanzaniaVector mosquito biting intensity is an important measure to understand malaria transmission. Human landing catch (HLC) is an effective but labour-intensive, expensive, and potentially hazardous entomological surveillance tool. The Centres for Disease Control light trap (CDC-LT) and the human decoy trap (HDT) are exposure-free alternatives.
Research
Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malariaIndividual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process or machine learning emulator functions to calibrate a complex malaria transmission simulator.