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Research

Predicting immune protection against outcomes of infectious disease from population-level effectiveness data with application to COVID-19

Quantifying the extent to which previous infections and vaccinations confer protection against future infection or disease outcomes is critical to managing the transmission and consequences of infectious diseases. We present a general statistical model for predicting the strength of protection conferred by different immunising exposures (numbers, types, and strains of both vaccines and infections), against multiple outcomes of interest, whilst accounting for immune waning. 

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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.

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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.

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Structure-function relationships of the neisserial EptA enzyme responsible for phosphoethanolamine decoration of lipid A: Rationale for drug targeting

This review concentrates on the phosphoethanolamine decoration of lipid A in the pathogenic species of the genus Neisseria

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In vitro drug susceptibility of two strains of the wildlife trypanosome, Trypanosoma copemani: A comparison with Trypanosoma cruzi

Compared the in vitro susceptibility of two strains of Trypanosoma copemani and one strain of T. cruzi against drugs that show trypanocidal activity

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Immunogenetics of Parasitic and Bacterial Disease

Here we focus on more recent well-powered genome-wide association studies, including malaria, leprosy, tuberculosis, and visceral leishmaniasis

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Converting the maybes: Crucial for a successful COVID-19 vaccination strategy

Broad community acceptance of a COVID-19 vaccination will be critical for effectively halting the spread of the virus. In this study, we focus on factors that differentiate those who are undecided from those who are either willing or unwilling to accept a prospective COVID-19 vaccine. An online survey in May 2020 assessed Australian adults' willingness to receive a COVID-19 vaccine (yes, maybe, no). A multinomial logistical regression of responses (N = 1,313) was used to identify correlates of vaccine willingness between the three groups.

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Impaired Cytokine Responses to Live Staphylococcus epidermidis in Preterm Infants Precede Gram-positive, Late-onset Sepsis

Late-onset sepsis (LOS) with Staphylococcus epidermidis is common in preterm infants, but the immunological mechanisms underlying heightened susceptibility are poorly understood. Our aim is to characterize the ontogeny of cytokine responses to live S. epidermidis in preterm infants with and without subsequent Gram-positive LOS.

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Multi-Omic Data Integration Allows Baseline Immune Signatures to Predict Hepatitis B Vaccine Response in a Small Cohort

Vaccination remains one of the most effective means of reducing the burden of infectious diseases globally. Improving our understanding of the molecular basis for effective vaccine response is of paramount importance if we are to ensure the success of future vaccine development efforts. We applied cutting edge multi-omics approaches to extensively characterize temporal molecular responses following vaccination with hepatitis B virus (HBV) vaccine. Data were integrated across cellular, epigenomic, transcriptomic, proteomic, and fecal microbiome profiles, and correlated to final HBV antibody titres.

Research

Poor treatment outcomes of children on highly active antiretroviral therapy: protocol for a systematic review and meta-analysis

While access to highly active antiretroviral therapy (HAART) for children with HIV has expanded and the use of HAART has substantially reduced the morbidity and mortality of children due to HIV, poor treatment outcomes among children with HIV are still a major public health problem globally. The aim of this systematic review and meta-analysis is to quantify treatment outcomes among children with HIV.