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Assessing COVID-19 Across Western Australian Schools

Western Australia has been highly successful at containing community spread of COVID-19 to date.

Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance 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.

Understanding motivation and experience in participating in a paediatric SARS-CoV-2 serosurvey, in Australia

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).

Short-Term Active Safety Surveillance of the Spikevax and Nuvaxovid Priming Doses in Australia

Australia commenced administration of the Spikevax (Moderna mRNA-1273) COVID-19 vaccine in August 2021 and Nuvaxovid (Novavax NVX-CoV2373) in January 2022. This study describes the short-term safety profile of priming doses of the Spikevax and Nuvaxovid vaccines given between September 2021 and September 2023. 

Applying causal inference and Bayesian statistics to understanding vaccine safety signals using a simulation study

Community perception of vaccine safety influences vaccine uptake. Our objective was to assess current vaccine safety monitoring by examining factors that may influence the availability of post-vaccination survey data, and thereby the specificity and sensitivity of existing signal detection methods.

COVID tests well tolerated by WA school kids

A study conducted across 40 WA schools has found COVID-19 testing using a combined nose and throat swab was well tolerated by children as young as 4 years.

Collecting behavioural data across countries during pandemics: Development of the COVID-19 Risk Assessment Tool

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.

The relationship between administratively recorded ethnicity and outcomes for people admitted to Australian intensive care units with COVID-19

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.

Erratum: Attitudes, perceptions, and experiences of Western Australians towards vaccine safety surveillance systems following COVID-19 vaccines: A qualitative descriptive study (Australian and New Zealand Journal of Public Health (2024) 48(1), (S132602002

Concerns regarding adverse events following immunisation are a barrier to vaccine uptake. Health professionals use vaccine safety surveillance systems (VSSS) to monitor vaccines and inform the public of safety data. With little known about public attitudes, perceptions, and experiences with VSSS, we examined them in the context of COVID-19 vaccinations in Western Australia.

Intervention effect of targeted workplace closures may be approximated by single-layered networks in an individual-based model of COVID-19 control

Individual-based models of infectious disease dynamics commonly use network structures to represent human interactions. Network structures can vary in complexity, from single-layered with homogeneous mixing to multi-layered with clustering and layer-specific contact weights. Here we assessed policy-relevant consequences of network choice by simulating different network structures within an established individual-based model of SARS-CoV-2 dynamics.