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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.
This study adapts the Multiple Streams Framework (MSF) to explore why COVID-19 vaccine mandates were applied at sectoral and subnational levels in Vietnam while the central government maintained that vaccination was voluntary. Document analysis reveals that these mandates arose from the effective coupling of the three streams—problem, policy, and politics—in a setting of authoritarian rule, where the streams function differently (and more uniformly) compared to democratic contexts.
Convalscent plasma (CP) was identified as a potential therapy for COVID-19 available early in the pandemic.
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.
The relationship between ethnicity and mortality of patients critically ill with COVID-19 in Australia has not been described. Defining those communities at the highest risk of severe COVID-19 may assist with formulating effective public health policy and may improve the equitable delivery of health care in Australia.
Viral infections are associated with significant morbidity and mortality in neonates. The COVID-19 pandemic led to changes in viral epidemiology in Western Australia. The impact on patients in neonatal intensive care is uncertain.
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.
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).
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.
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.