Mohana Rajmokan

Background: Invasive Haemophilus influenzae type b (Hib) infection in children has become rare following the introduction of highly effective conjugate vaccines under national immunisation programmes. However, breakthrough invasive infections in fully immunised individuals can still occur. We report a case of invasive Hib infection presenting as epiglottitis and bacteraemia in a fully vaccinated 5-year-old boy in regional Queensland, Australia. Case presentation: The child, with no history of immunodeficiency, presented with a 3-day history of fever, progressive throat pain and reduced oral intake. Subsequent investigations revealed leukocytosis with left shift, markedly elevated C-reactive protein, and radiographic features consistent with epiglottitis. Blood culture grew H. influenzae type b. He was treated with intravenous cefotaxime and made a full recovery without complications. Immunological evaluation demonstrated Hib-specific IgG levels consistent with prior vaccinations, with normal immunoglobulin and lymphocyte profiles supporting the absence of immunodeficiency. Whole-genome sequencing of the isolate identified sequence type 6, a known circulating strain, and duplication of the capsule (cap-b) locus which has been associated with increased capsular polysaccharide production and reduced susceptibility to immune-mediated clearance. Conclusions: This case demonstrates that invasive Hib disease can occur in fully vaccinated, immunocompetent individuals and highlights the need for continued clinical vigilance. Pathogen-related factors, such as cap-b locus duplication, may reduce the effectiveness of the immune response. Despite this, immunisation can still confer partial protection, potentially contributing to the relatively mild clinical course. Ongoing surveillance and detailed microbiological investigation are essential to better understand and monitor vaccine breakthrough infections.

Seasonal influenza continues to pose a substantial and recurrent public health challenge in Queensland, driven by annual variability in transmission and uncertainty in climatic, demographic, and behavioural determinants. Predictive modelling is constrained by data limitations and parameter uncertainty. In response, this study developed a Bayesian network (BN) model to estimate the probability of influenza epidemics in Queensland, Australia. The model integrated diverse inputs, including international and local influenza surveillance data, demographic health statistics, and expert and stakeholder insights to capture the complex multifactorial causal relationships underlying epidemic risk. Scenario-based simulations revealed that Southeast Asian viral origin, severe global influenza seasons, peak season timing, increasing international travel, absence of control measures, and low immunisation rates substantially elevate the likelihood of influenza epidemics. Southeast Queensland was identified as particularly vulnerable under high-risk conditions. Model evaluation demonstrated good discriminative performance (AUC = 0.6974, accuracy = 70%) with appropriate uncertainty quantification through credible intervals and sensitivity analysis. Its modular design and capacity for integrating various data sources make it a practical decision-making support tool for public health preparedness and responding to evolving climatic and epidemiological conditions.

Surgical site infections following coronary artery bypass graft (CABG) procedures pose substantial burden on patients and healthcare systems. This study aims to describe the incidence of surgical site infections and causative pathogens following CABG surgery over the period 2003–2012, and to identify risk factors for complex sternal site infections.