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There are well-described sex-based differences in how the immune system operates. In particular, cisgender (cis) females have a more easily activated immune system; associated with an increased prevalence of autoimmune diseases and adverse events following vaccinations. Conversely, cis males have a higher threshold for immune activation, and are more prone to certain infectious diseases, such as coronavirus disease (COVID-19).
Non-pharmaceutical interventions (NPIs) to reduce SARS-CoV-2 transmission disrupted respiratory virus seasonality. We examined the unusual return of human metapneumovirus (hMPV) in Western Australia following a period of absence in 2020.
Convalscent plasma (CP) was identified as a potential therapy for COVID-19 available early in the pandemic.
Serosurveys are considered as a valuable tool in estimating population immunity and infection rates but recruitment of children to provide paediatric estimates can be challenging. A novel approach of sampling children undergoing anaesthesia was utilised for a SARS-CoV-2 serosurvey in Australian children and we explore the reasons for participation, feedback on the approach and importance of research into Coronavirus Diseases 2019 (COVID-19).
Type 1 interferons (T1IFNs) are typically expressed in low concentrations under homeostatic conditions, but upon pathogenic insult or perturbation of the pathway, these critical immune signaling molecules can become either protectors from or drivers of pathology. While essential for initiating antiviral defense and modulating inflammation, dysregulation of T1IFN signaling can contribute to immunopathology, making it and its associated pathways prime targets for immune evasion and disruption by pathogens.
Anthony Kicic BSc (Hons) PhD Head, Airway Epithelial Research; WA Cystic Fibrosis Research Collaborative Program Fellowship; Stan Perron Charitable
During winter months of temperate regions, concurrent epidemics of multiple respiratory pathogens can occur, causing periods of increased clinical burden. Case time series, which are predominantly used to monitor infection levels, can exhibit substantial noise and day-of-the-week effects, limiting the visual interpretation of trends in raw data.
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.
Management and outcomes of children hospitalised with acute SARS-CoV-2 infection may differ throughout the pandemic or with admission type (clinical COVID-19, incidental COVID-19 or nosocomial infection).
Cases identified through mass testing represent only a fraction of infections, depending on the propensity of infected individuals to seek testing. Quantifying the variation in test-seeking behaviour through time or between population subgroups provides important information on testing uptake and supports epidemiological analyses of case data that may otherwise be biased.