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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.

The interaction between respiratory viruses and pathogenic bacteria

Data on asymptomatic identification rates of respiratory viruses are limited, particularly in Indigenous populations, who suffer a high burden of OM.

Prevention of rheumatic heart disease in New Zealand: High-dose subcutaneous benzathine penicillin is cost-saving compared with traditional intramuscular injections

Acute rheumatic fever is a preventable condition that can lead to chronic illness and early death. Standard prevention with 4-weekly intramuscular (IM) benzathine penicillin G (BPG) injections for ≥10 years may be associated with poor adherence. High-dose 10-weekly subcutaneous penicillin injections (SCIP) may improve adherence by reducing injection frequency.

Projected impacts of climate change on malaria in Africa

The implications of climate change for malaria eradication this century remain poorly resolved. Many studies focus on parasite and vector ecology in isolation, neglecting the interactions between climate, malaria control and the socioeconomic environment, including disruption from extreme weather. Here we integrate 25 years of African data on climate, malaria burden and control, socioeconomic factors, and extreme weather. 

Early Oral Antibiotic Switch in Staphylococcus aureus Bacteraemia: The Staphylococcus aureus Network Adaptive Platform (SNAP) Trial Early Oral Switch Protocol

Staphylococcus aureus bloodstream infection is traditionally treated with at least 2 weeks of intravenous antibiotics in adults, 3-7 days in children, and often longer for those with complicated disease. The current practice of treating S. aureus bacteremia with prolonged IV antibiotics (rather than oral antibiotics) is based on historical observational research and expert opinion. Prolonged IV antibiotic therapy has significant disadvantages for patients and healthcare systems, and there is growing interest in whether a switch to oral antibiotics following an initial period of IV therapy is a safe alternative for clinically stable patients.

AusVaxSafety

Christopher Peter Peter Tom Blyth Jacoby Richmond Snelling MBBS (Hons) DCH FRACP FRCPA PhD BA (Hons) MSc MBBS MRCP(UK) FRACP BMBS DTMH GDipClinEpid

A 15-Year Old Burmese Girl With Hemoptysis: A Case Report

A 15 year old girl, born in Hakha, Myanmar, presented with 2 months of intermittent hemoptysis 3 years after immigrating to Australia, via Malaysia.

Evaluating the impact of the ‘Blow, Breathe, Cough’ health promotion intervention in resolving otitis media with effusion in children: An adaptive randomized-controlled trial protocol

Otitis media with effusion (OME) affects hearing, speech development, and quality of life (QoL) in children. The 'Blow, Breathe, Cough' (BBC) intervention promotes nasal, respiratory, and middle ear clearance through nose blowing, deep breathing, coughing, and hand hygiene. It shows promise in resolving OME but lacks randomized-controlled trial (RCT) evaluation. This paper presents a RCT protocol evaluating BBC's effect on OME resolution, hearing, speech, and QoL in children aged two to seven years.

Impact of Meningococcal ACWY Vaccination Program during 2017-18 Epidemic, Western Australia, Australia

The rising incidence of invasive meningococcal disease (IMD) caused by Neisseria meningitidis serogroup W in Western Australia, Australia, presents challenges for prevention. We assessed the effects of a quadrivalent meningococcal vaccination program using 2012-2020 IMD notification data.

among children with pneumonia using a causal Bayesian network

Pneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between variables and produce results in an explainable way by incorporating both domain expert knowledge and numerical data.