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Showing results for "lung disease preterm"
Bioinformatician
Honorary Research Associate
Indigenous communities are under-represented in genomics research, contributing to inequitable health-related knowledge, outcomes, and benefits. Under-representation reflects enduring consequences of colonial research practices that have engendered cultural, ethical, legal, and social (CELS) concerns among communities.
Respiratory viruses are increasingly detected in children with community-acquired pneumonia but prevalence estimates vary substantially. We aimed to systematically review and pool estimates for 22 viruses commonly associated with community-acquired pneumonia.
Rotavirus 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.
Learn more about the background and motivations of END RHD CRE Research Fellow Simone Reynolds.
Hepatitis B (HBV) prevalence is very high in pregnant women in the Dolpa district of Nepal, a region characterised by a remote geographic landscape and low vaccination coverage. Using mathematical modelling, we evaluated the impact of third-trimester tenofovir disoproxil fumarate (TDF) prophylaxis on HBV burden and estimated the time required to achieve HBV elimination in Dolpa.
Type 1 diabetes in First Nations peoples is low yet type 2 diabetes is at epidemic proportions. This study aimed to determine the prevalence of islet autoimmunity in First Nations women with dysglycaemia and its association with clinical features.
The discovery of CRISPR-Cas9 and its widespread use has revolutionised and propelled research in biological sciences.
During winter months of temperate regions, concurrent epidemics of multiple respiratory pathogens can occur, causing periods of increased clinical burden. Case time series, which are predominantly used to monitor infection levels, can exhibit substantial noise and day-of-the-week effects, limiting the visual interpretation of trends in raw data.