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Vaccination in pregnancy is the best strategy to reduce complications from influenza or pertussis infection in infants who are too young to be protected directly from vaccination. Pregnant women are also at risk of influenza complications preventable through antenatal vaccination. Both vaccines are funded under the National Immunisation Program for pregnant women in Australia, but coverage is not routinely reported nationally.
Pneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between variables and produce results in an explainable way by incorporating both domain expert knowledge and numerical data.
COVID-19 is a new multi-organ disease causing considerable worldwide morbidity and mortality. While many recognized pathophysiological mechanisms are involved, their exact causal relationships remain opaque. Better understanding is needed for predicting their progression, targeting therapeutic approaches, and improving patient outcomes. While many mathematical causal models describe COVID-19 epidemiology, none have described its pathophysiology.
The need for coronavirus 2019 (COVID-19) vaccination in different age groups and populations is a subject of great uncertainty and an ongoing global debate. Critical knowledge gaps regarding COVID-19 vaccination include the duration of protection offered by different priming and booster vaccination regimens in different populations, including homologous or heterologous schedules.
Respiratory syncytial virus contributes to significant global infant morbidity and mortality. We applied a previously developed statistical prediction model incorporating pre-pandemic RSV testing data and hospital admission data to estimate infant RSV-hospitalizations by birth month and prematurity, focused on infants aged <1 year.
Invasive mould infection (IMI) is a major cause of morbidity and mortality in immunocompromised children. Outcomes for paediatric patients with IMI remain poor, due in part to the limitations of available diagnostic tools and therapeutic agents.
Sepsis is a significant cause of mortality for children in Australia, particularly affecting young children, those with pre-existing health conditions and Aboriginal and Torres Strait Islander populations. The transition from hospital to home can be challenging for survivors, often leaving long-term impacts unaddressed.
Vancomycin is first-line treatment for methicillin-resistant Staphylococcus aureus infections. However, despite guideline recommendations, there is no evidence that targeting vancomycin trough concentrations of ≥15 mg/L in children confers clinical benefit and is associated with vancomycin-associated nephrotoxicity.
Pneumococcal conjugate vaccine (PCV) prevents pneumococcal disease and pneumonia, but indirect effects are poorly understood in low-coverage, high-burden settings like Papua New Guinea (PNG). PNG introduced 13-valent PCV (PCV13) in 2014. We aimed to assess direct and indirect effectiveness of PCV13 against vaccine-type pneumococcal carriage among children with pneumonia or suspected meningitis in PNG
The estimated effectiveness of SMS (short message service) reminders for improving childhood vaccine coverage and timeliness has varied in previous studies. The observed heterogeneity in effectiveness may be explained in part by variation in reminder content or timing of the reminder relative to the vaccine schedule date. We sought to evaluate the effectiveness of a range of SMS reminders of varied content and timing for improving on-time childhood vaccination.