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Substantial spatial clustering of notified tuberculosis was detected at region, zone and district level in Ethiopia
Admissions for ARI were higher in Western Australia and displayed greater socioeconomic disparities than England and Scotland, where ARI rates are increasing
Influenza vaccination recommendation by children’s hospital physicians and previous vaccine receipt in hospital was associated with vaccine uptake
Aboriginal children and children from lower socio-economic backgrounds were over-represented with OM-related hospitalizations but had fewer TTIs
Group A Streptococcus (Strep A) causes a wide spectrum of diseases, ranging from pharyngitis and impetigo to severe invasive infections and immune-mediated conditions such as acute rheumatic fever, rheumatic heart disease and acute post-streptococcal glomerulonephritis. Contemporary data on the global burden of Strep A diseases are lacking.
Respiratory syncytial virus (RSV) is the most common cause of acute lower respiratory infections in children worldwide. The highest incidence of severe disease is in the first 6 months of life, with infants born preterm at greatest risk for severe RSV infections.
Soil transmitted helminth infections are estimated to impact 24% of the world's population and are responsible for chronic and debilitating morbidity. Disadvantaged communities are among the worst affected and are further marginalized as infection prevalence fuels the poverty cycle.
Samantha Carlson BSc MPH PhD Senior Research Officer Samantha.carlson@thekids.org.au Senior Research Officer @samicarlson ORCID Dr Carlson is an
Multidrug-resistant tuberculosis (MDR-TB) is a global health threat associated with high morbidity and mortality rates. Diagnosis and treatment delays are associated with poor treatment outcomes in patients with MDR-TB. However, the risk factors associated with these delays are not robustly investigated, particularly in high TB burden countries such as China.
Our objective was to establish and test a machine learning-based screening process that would be applicable to systematic reviews in pharmaceutical sciences. We used the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) model, a broad search strategy, and a machine learning tool (Research Screener) to identify relevant references related to y-site compatibility of 95 intravenous drugs used in neonatal intensive care settings.