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Prevalence of tuberculosis infection among contacts of drug-resistant tuberculosis patients: A systematic review and meta-analysis

Contact investigations with drug-susceptible tuberculosis (DS-TB) patients have demonstrated a high prevalence of tuberculosis infection (TBI). However, the prevalence of TBI among individuals in close contact with drug-resistant tuberculosis (DR-TB) patients is poorly understood. This systematic review and meta-analysis aimed to determine the prevalence of TBI among household and non-household contacts of DR-TB patients.

Serological Responses to Streptococcus pyogenes Vaccine Candidate Antigens Suggests That Streptococcus dysgalactiae Is the Predominant Cause of Lower Limb Cellulitis

A future Streptococcus pyogenes (Strep A) vaccine will ideally prevent a significant burden of lower limb cellulitis; however, natural immune responses to proposed vaccine antigens following an episode of cellulitis remain uncharacterized.

Measurement properties and feasibility of chronic pain assessment tools for use with children and young people with cerebral palsy

Chronic pain assessment tools exist for children, but may not be valid, reliable, and feasible for populations with functional, cognitive or communication limitations, for example, cerebral palsy (CP). This study aimed to (i) identify chronic pain assessment tools used with children and young people and rate their measurement properties; (ii) develop a CP specific feasibility rating tool to assess the feasibility of tools in CP; and (iii) categorise tools according to reporting method.

Lung structural and functional impairments in young children with cystic fibrosis diagnosed following newborn screening – A nationwide observational study

Non-invasive and sensitive clinical endpoints are needed to monitor onset and progression of early lung disease in children with cystic fibrosis (CF). We compared lung clearance index (LCI), FEV1, functional and structural lung magnetic resonance imaging (MRI) outcomes in Swiss children with CF diagnosed following newborn screening. 

Financial incentives to motivate treatment for hepatitis C with direct acting antivirals among Australian adults

Untreated hepatitis C virus (HCV) infection can result in cirrhosis and hepatocellular cancer. Direct-acting antiviral (DAA) therapies are highly effective and have few side effects compared to older interferon-based therapy. Despite the Australian government providing subsidised and unrestricted access to DAA therapy for chronic HCV infection, uptake has not been sufficient to meet the global target of eliminating HCV as a public health threat by 2030. 

A digital intervention to support childhood cognition after the COVID-19 pandemic: a pilot trial

Difficulties in executive functioning (EF) can result in impulsivity, forgetfulness, and inattention. Children living in remote/regional communities are particularly at risk of impairment in these cognitive skills due to reduced educational engagement and poorer access to interventions. This vulnerability has been exacerbated by the COVID-19 pandemic and strategies are needed to mitigate long-term negative impacts on EF.

Herpes simplex virus in infancy: Evaluation of national surveillance case capture

As herpes simplex virus in infancy is not a mandatory notifiable condition in Australia, completeness of ascertainment by the Australian Paediatric Surveillance Unit (APSU) has been difficult to evaluate to date. We evaluated case capture in Queensland and Western Australia using statewide laboratory and clinical data and complementary surveillance data collected via the APSU.

Identifying barriers and facilitators for the effective diagnosis and provision of primary health care for otitis media from the perspective of carers of Aboriginal children

To identify the barriers and facilitators for timely detection and optimal management of otitis media in Aboriginal children in a primary care setting from the perspective of carers of Aboriginal children. 

Harmonizing the CBCL and SDQ ADHD scores by using linear equating, kernel equating, item response theory and machine learning methods

A problem that applied researchers and practitioners often face is the fact that different institutions within research consortia use different scales to evaluate the same construct which makes comparison of the results and pooling challenging.

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.