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A random effects meta-analysis was used to estimate the pooled prevalence of HIV infection within minority indigenous populations of the South-East Asia (SEAR) and Western Pacific Regions (WPR). Sub-group analyses were conducted, and the sources of heterogeneity explored through meta-regression. The majority of studies were undertaken in high HIV risk subpopulations.
Liz Davis MBBS FRACP PhD Co-director of Children’s Diabetes Centre Co-director of Children’s Diabetes Centre Professor Davis is a paediatric
The 'Raising Healthy Kids (RHK) health target ' recommended that children identified as having obesity [body mass index (BMI) >/=98th centile] through growth screening at the B4 School Check (B4SC) be offered referral for subsequent assessment and intervention.
Citation: Carlson SJ, McRae J, Wiley K, Leask J, Macartney K. Knowledge, attitudes and practices regarding influenza vaccination among parents of
A high burden of bacterial skin infections is well documented in remote-living Indigenous children and young people in high-income countries.
Laboratory models provide an important tool in helping to understand the cellular and molecular drivers of respiratory disease. Many animal models exist that model the neonatal outcomes of preterm birth.
The Continuous Glucose Monitoring (CGM) Initiative recently introduced universal subsidized CGM funding for people with type 1 diabetes under 21 years of age in Australia. We thus aimed to evaluate the cost-effectiveness of this CGM Initiative based on national implementation data and project the economic impact of extending the subsidy to all age-groups.
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.
Kathryn Ramsey BSc (Hons), PhD Co-Head, Foundations of Lung Disease kathryn.ramsey@thekids.org.au Co-Head, Foundations of Lung Disease Associate
Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and population-based routinely collected data in Western Australia.