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Against a backdrop ofwidespread global transmission, a number of countries have successfully brought large outbreaks of COVID-19 under control and maintained near-elimination status. A key element of epidemic response is the tracking of disease transmissibility in near real-time. During major out-breaks, the effective reproduction number can be estimated froma time-series of case, hospitalisation or death counts. In low or zero incidence settings, knowing the potential for the virus to spread is a response priority.
Many publications have demonstrated the detrimental effects of school closures on children, families and communities in the past two years of the COVID-19 pandemic. Currently, there is a surge of Omicron cases as children prepare to return to school around the world. While many children are asymptomatic or have mild disease, it is nevertheless an important problem.
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).
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).
Convalscent plasma (CP) was identified as a potential therapy for COVID-19 available early in the pandemic.
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.
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.
Pregnant women are a priority group for COVID-19 vaccination due to their vulnerability as a high-risk cohort. However, the currentCOVID-19 vaccine uptake rate for COVID-19 vaccination among pregnant women in Western Australia remains largely unknown.
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.