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"Turner, David"
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Clinical experience with the meningococcal B vaccine, Bexsero®: Prospects for reducing the burden of meningococcal serogroup B disease
•MenB is the most common disease-causing meningococcal serogroup in many countries.•Based on in vitro data (Meningococcal Antigen Typing System assay), Bexsero is predicted to elicit a bactericidal response against most circulating MenB strains.•Bexsero has also demonstrated an acceptable safety profile.•Clinical recommendations on Bexsero use have been published in many countries.•Here we summarise the use of the vaccine since licensure.
Although rare, invasive meningococcal disease remains an important cause of mortality and morbidity in children and young adults. Vaccines have been successfully introduced to help protect against meningococcal disease caused by serogroups A, C, W and Y, but until recently, a vaccine for serogroup B (MenB) was not available. In many industrialised countries, MenB causes the majority of meningococcal disease. Moreover, MenB outbreaks occur unpredictably, particularly in high-risk populations, such as university students. In 2013, Bexsero® became the first broad-coverage vaccine to be licensed for active immunisation against MenB disease. Bexsero is now licensed in more than 35 countries worldwide for varying age groups, including the EU, Australia, Brazil, Canada, Chile, Uruguay and the USA.
Clinical recommendations for the use of Bexsero have been published in several countries. Recommendations include use in high-risk groups, outbreak control and routine infant immunisation. Since initial licensure, considerable clinical experience has been gained. In Canada, 43,740 individuals received Bexsero during a vaccination programme in the Saguenay–Lac-Saint-Jean region of Quebec, where local disease incidence was high. In the USA, Bexsero was administered to >15,000 individuals during two college outbreaks prior to licensure, under an Investigational New Drug protocol. In the UK, the Joint Committee on Vaccination and Immunisation has recommended the inclusion of Bexsero in the routine immunisation schedule for infants. Publically funded vaccination programmes have been initiated in Italy, and there has been widespread use of the vaccine outside of publically reimbursed programmes. Overall, >1,000,000 doses of Bexsero have been distributed in 19 countries worldwide since 2013.
The emerging clinical experience with Bexsero is consistent with findings from pre-licensure clinical studies, and no new safety concerns have been identified. Additional data on length of protection, potential impact on meningococcal carriage and transmission and strain coverage have also been published and will be reviewed.
Journal Article
The Epidemiology of Fusarium Wilt of Banana
Fusarium wilt of banana (also known as Panama disease) has been a problem in Australia since 1874. Race 1 of the pathogen (
f. sp.
) is responsible for damage to 'Lady Finger' (AAB, Pome subgroup) and other less widely grown cultivars such as 'Ducasse' (Pisang Awak, ABB). Subtropical Race 4 (STR4) also affects these cultivars as well as Cavendish cultivars (AAA) in southern Queensland and northern New South Wales where cold temperature predisposition is involved. Tropical Race 4 (TR4) has led to the demise of the Cavendish industry in the Northern Territory, and its presence was confirmed in a North Queensland plantation in 2015, which warranted destruction of all banana plants on the property; as of this writing (April 2019), TR4 has spread to two adjacent properties. This review, which was commissioned by Biosecurity Queensland in response to the 2015 TR4 outbreak, considers the key epidemiological factors associated with the onset of a Fusarium wilt epidemic. Resistance to TR4, which is mediated by events following entry by the pathogen into the xylem, is not present in any commercially acceptable banana cultivar. Also, there is no effective chemical agent that can be used to manage the disease. Besides prevention, very early recognition and rapid containment of a disease outbreak are necessary to prevent epidemic development. A good understanding of the key factors responsible for disease development is required when devising practical protocols for the destruction of infected plants, treatment of surrounding infested soil, and reduction of inoculum in plant residues and soil.
Journal Article
Disability in the Industrial Revolution : physical impairment in British coalmining, 1780-1880
\"The Industrial Revolution produced injury, illness and disablement on a large scale and nowhere was this more visible than in coalmining. Disability in the Industrial Revolution sheds new light on the human cost of industrialisation by examining the lives and experiences of those disabled in a sector that was vital to Britain's economic growth. Although it is often assumed that industrialisation led to increasing marginalisation of people with impairments, disabled mineworkers were expected to return to work wherever possible, and new medical services developed to assist in this endeavour. Using a rich and innovative mix of sources ranging from official reports to autobiographies, this book examines disability and its consequences in the coalfields of Scotland, north east England and south Wales. It explores how working conditions, the organisation of labour, and employer attitudes affected the ability of impaired miners to find employment, and charts the multifaceted responses to disablement, ranging from health and safety regulations to welfare programmes. Recognising that experiences of disability extended beyond the world of work, the book discusses the family, community and cultural lives of disabled mineworkers. It shows how disability played an important role in industrial relations and shaped class identity. In the process, it presents a new history of disability and the Industrial Revolution, one that shows how disabled people contributed to Britain's industrial development, and demonstrates how concerns about disability shaped responses to industrialisation\"--Back cover.
Book
SLEAP: A deep learning system for multi-animal pose tracking
The desire to understand how the brain generates and patterns behavior has driven rapid methodological innovation in tools to quantify natural animal behavior. While advances in deep learning and computer vision have enabled markerless pose estimation in individual animals, extending these to multiple animals presents unique challenges for studies of social behaviors or animals in their natural environments. Here we present Social LEAP Estimates Animal Poses (SLEAP), a machine learning system for multi-animal pose tracking. This system enables versatile workflows for data labeling, model training and inference on previously unseen data. SLEAP features an accessible graphical user interface, a standardized data model, a reproducible configuration system, over 30 model architectures, two approaches to part grouping and two approaches to identity tracking. We applied SLEAP to seven datasets across flies, bees, mice and gerbils to systematically evaluate each approach and architecture, and we compare it with other existing approaches. SLEAP achieves greater accuracy and speeds of more than 800 frames per second, with latencies of less than 3.5 ms at full 1,024 × 1,024 image resolution. This makes SLEAP usable for real-time applications, which we demonstrate by controlling the behavior of one animal on the basis of the tracking and detection of social interactions with another animal.
SLEAP is a versatile deep learning-based multi-animal pose-tracking tool designed to work on videos of diverse animals, including during social behavior.
Journal Article
A Meta-Analysis of Social Skills Training and Related Interventions for Psychosis
Abstract
Objective
Evidence suggests that social skills training (SST) is an efficacious intervention for negative symptoms in psychosis, whereas evidence of efficacy in other psychosis symptom domains is limited. The current article reports a comprehensive meta-analytic review of the evidence for SST across relevant outcome measures, control comparisons, and follow-up assessments. The secondary aim of this study was to identify and investigate the efficacy of SST subtypes.
Methods
A systematic literature search identified 27 randomized controlled trials including N = 1437 participants. Trials assessing SST against active controls, treatment-as-usual (TAU), and waiting list control were included. Risk of bias was assessed using the Cochrane risk of bias assessment tool. A series of 70 meta-analytic comparisons provided effect sizes in Hedges’ g. Heterogeneity and publication bias were assessed.
Results
SST demonstrated superiority over TAU (g = 0.3), active controls (g = 0.2–0.3), and comparators pooled (g = 0.2–0.3) for negative symptoms, and over TAU (g = 0.4) and comparators pooled (g = 0.3) for general psychopathology. Superiority was indicated in a proportion of comparisons for all symptoms pooled and social outcome measures. SST subtype comparisons were underpowered, although social-cognitive approaches demonstrated superiority vs comparators pooled. SST treatment effects were maintained at proportion of follow-up comparisons.
Conclusions
SST demonstrates a magnitude of effect for negative symptoms similar to those commonly reported for cognitive-behavioral therapy (CBT) for positive symptoms, although unlike CBT, SST is not routinely recommended in treatment guidelines for psychological intervention. SST may have potential for wider implementation. Further stringent effectiveness research alongside wider pilot implementation of SST in community mental health teams is warranted.
Journal Article
The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description
The High-Resolution Rapid Refresh (HRRR) is a convection-allowing implementation of the Advanced Research version of the Weather Research and Forecasting (WRF-ARW) Model with hourly data assimilation that covers the conterminous United States and Alaska and runs in real time at the NOAA/National Centers for Environmental Prediction (NCEP). Implemented operationally at NOAA/NCEP in 2014, the HRRR features 3-km horizontal grid spacing and frequent forecasts (hourly for CONUS and 3-hourly for Alaska). HRRR initialization is designed for optimal short-range forecast skill with a particular focus on the evolution of precipitating systems. Key components of the initialization are radar-reflectivity data assimilation, hybrid ensemble-variational assimilation of conventional weather observations, and a cloud analysis to initialize stratiform cloud layers. From this initial state, HRRR forecasts are produced out to 18 h every hour, and out to 48 h every 6 h, with boundary conditions provided by the Rapid Refresh system. Between 2014 and 2020, HRRR development was focused on reducing model bias errors and improving forecast realism and accuracy. Improved representation of the planetary boundary layer, subgrid-scale clouds, and land surface contributed extensively to overall HRRR improvements. The final version of the HRRR (HRRRv4), implemented in late 2020, also features hybrid data assimilation using flow-dependent covariances from a 3-km, 36-member ensemble (“HRRRDAS”) with explicit convective storms. HRRRv4 also includes prediction of wildfire smoke plumes. The HRRR provides a baseline capability for evaluating NOAA’s next-generation Rapid Refresh Forecast System, now under development.
Journal Article