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Estimating the temporal trends in infectious disease activity is crucial for monitoring disease spread and the impact of interventions. Surveillance indicators routinely collected to monitor these trends are often a composite of multiple pathogens. For example, "influenza-like illness"-routinely monitored as a proxy for influenza infections-is a symptom definition that could be caused by a wide range of pathogens, including multiple subtypes of influenza, SARS-CoV-2, and RSV.
Tools that can be used to collect behavioural data during pandemics are needed to inform policy and practice. The objective of this project was to develop the Your COVID-19 Risk tool in response to the global spread of COVID-19, aiming to promote health behaviour change. We developed an online resource based on key behavioural evidence-based risk factors related to contracting and spreading COVID-19. This tool allows for assessing risk and provides instant support to protect individuals from infection.
Nirsevimab is a long-acting monoclonal antibody used to prevent respiratory syncytial virus (RSV) infection in infants and high-risk children. During the 2024 RSV season in Western Australia, 21 922 doses were administered to infants entering their first season and 1221 doses to at-risk children. In this context, the selection and spread of escape variants are a potential concern. This study aimed to investigate nirsevimab binding site mutations using clinical and wastewater data.
Bringing optimised coronavirus disease 2019 (COVID-19) vaccine schedules to immunocompromised populations (BOOST-IC) is a multi-site, adaptive platform trial designed to assess the effect of different booster vaccination schedules in the Australian immunocompromised population on the immunogenicity, safety and cross-protection against COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants.
Rates of several vaccine preventable diseases, and associated hospitalisation, are higher among Aboriginal and/or Torres Strait Islander children than non-Indigenous children. Western Australia has among the lowest childhood vaccine coverage in Australia, particularly among Aboriginal and/or Torres Strait Islander children. Delayed vaccination is also more common in this population. This project aimed to understand the barriers and facilitators to vaccine uptake and timeliness among Aboriginal and/or Torres Strait Islander children aged under five years in Boorloo (Perth).
In an era of expanding indications for iatrogenic immunosuppression, invasive fungal disease (IFD) remains a significant challenge in immunocompromised children, with case fatality rates ranging from 10 to 70%. Understanding of current recommendations and recent evidence is essential to guide optimal IFD management.
Recent interest in the diverse ecosystem of bacteria, fungi and viruses that make up the skin microbiome has led to numerous studies investigating the skin microbiome in healthy skin and in dermatological conditions. However, skin microbiome analysis is challenging due to relatively low numbers of skin microorganisms compared to mucosal sites, such as the respiratory or gastrointestinal tracts. Microbiome results are heavily influenced by sampling methods.
Despite increasing urbanisation, little is known about skin health for urban-living Aboriginal children and young people (CYP, aged <18 years). This study aimed to investigate the primary care burden and clinical characteristics of skin conditions in this cohort.
Meningococcal serogroup B (MenB) strains are highly diverse. Breadth of immune response for the MenB vaccine, 4CMenB, administered at 0-2, 0-6, or 0-2-6 months, was demonstrated by endogenous complement-human serum bactericidal antibody (enc-hSBA) assay against an epidemiologically relevant panel of 110 MenB strains.
Some individuals have a persistence of symptoms following both COVID-19 (post-acute COVID-19 syndrome; PACS) and other viral infections. This study used prospectively collected data from an international trial to compare symptoms following COVID-19 and non-COVID-19 respiratory illness, to identify factors associated with the risk of PACS, and to explore symptom patterns before and after COVID-19 and non-COVID-19 respiratory illnesses.