Rapid opioid overdose response system technologies

Purpose of review  Opioid overdose events are a time sensitive medical emergency, which is often reversible with naloxone administration if detected in time. Many countries are facing rising opioid overdose deaths and have been implementing rapid opioid overdose response Systems (ROORS). We describe how technology is increasingly being used in ROORS design, implementation and delivery. Recent findings  Technology can contribute in significant ways to ROORS design, implementation, and delivery. Artificial intelligence-based modelling and simulations alongside wastewater-based epidemiology can be used to inform policy decisions around naloxone access laws and effective naloxone distribution strategies. Data linkage and machine learning projects can support service delivery organizations to mobilize and distribute community resources in support of ROORS. Digital phenotyping is an advancement in data linkage and machine learning projects, potentially leading to precision overdose responses. At the coalface, opioid overdose detection devices through fixed location or wearable sensors, improved connectivity, smartphone applications and drone-based emergency naloxone delivery all have a role in improving outcomes from opioid overdose. Data driven technologies also have an important role in empowering community responses to opioid overdose. Summary  This review highlights the importance of technology applied to every aspect of ROORS. Key areas of development include the need to protect marginalized groups from algorithmic bias, a better understanding of individual overdose trajectories and new reversal agents and improved drug delivery methods.PostprintPeer reviewe

Do online positive psychology interventions work equally well in distressed and non-distressed users?

Past research suggests distress level may differentiate users of online positive psychology interventions (OPPIs). Non-distressed users are moderately happy and use OPPIs as a self-improvement tool to maximize their sense of well-being. Distressed users experience high levels of negative affect and use OPPIs to relieve their suffering and unhappiness. The present study was designed to explore whether distressed and non-distressed individuals experience different outcomes after practising an OPPI. Demographic and psychological well-being information was collected from two large international samples (combined N = 6856) for up to 6 months following completion of a variety of brief positive psychology interventions (e.g. cultivating gratitude, self-compassion, optimism). Using cluster analysis to subgroup OPPI users, Study 1 found a two cluster solution for classifying OPPI users based on distress level, replicating the findings first observed by Parks, Della Porta, Pierce, Zilca, and Lyubomirsky (2012). Study 2 explored differences in well-being outcomes between these two clusters. The distressed cluster reported greater decreases in depressive symptoms and increases in life satisfaction over time than the non-distressed cluster. Previous experience with psychotherapy was associated with greater long-term improvements in life satisfaction for the distressed cluster, although attrition rates were higher for the distressed cluster in one sample. Based on these findings, distress level appears to distinguish both who uses OPPIs and who stands to benefit most. Distressed individuals experienced the greatest gains, although they were also more likely to have difficulty with regular participation. The high attrition rate and limited scope of outcome measures of well-being were discussed as limitations. Future research was encouraged to clarify the different mechanisms in effect for distressed and non-distressed OPPI users and to develop interventions more resistant to attrition

Towards Better Definitions and Measures of Internet Security

Engineering and Applied Science

Assessing Psychological Well-Being: Self-Report Instruments for the NIH Toolbox

Objective— Psychological well-being (PWB) has a significant relationship with physical and mental health. As part of the NIH Toolbox for the Assessment of Neurological and Behavioral Function, we developed self-report item banks and short forms to assess PWB. Study Design and Setting— Expert feedback and literature review informed the selection of PWB concepts and the development of item pools for Positive Affect, Life Satisfaction, and Meaning and Purpose. Items were tested with a community-dwelling U.S. internet panel sample of adults aged 18 and above (N=552). Classical and item response theory (IRT) approaches were used to evaluate unidimensionality, fit of items to the overall measure, and calibrations of those items, including differential item function (DIF). Results— IRT-calibrated item banks were produced for Positive Affect (34 items), Life Satisfaction (16 items), and Meaning and Purpose (18 items). Their psychometric properties were supported based on results of factor analysis, fit statistics, and DIF evaluation. All banks measured the concepts precisely (reliability ≥0.90) for more than 98% of participants. Conclusion— These adult scales and item banks for PWB provide the flexibility, efficiency, and precision necessary to promote future epidemiological, observational, and intervention research on the relationship of PWB with physical and mental health

A Review of Significant European Foodborne Outbreaks in the Last Decade.

ABSTRACT Foodborne diseases remain a global public health challenge worldwide. The European surveillance system of multistate foodborne outbreaks integrates elements from public and animal health and the food chain for early detection, assessment, and control. This review includes descriptions of the significant outbreaks that occurred in Europe in the last decade. Their significance and relevance to public health is derived from the changes, improvements, and novelties that pushed toward building a safer food system in the European Union, certainly driven by the One Health approach. In 2011, a point source monoclonal outbreak of infections caused by Escherichia coli serotype O104:H4 in sprouted seeds resulted in hundreds of cases of hemolytic uremic syndrome and several fatalities. In 2015, a prolonged outbreak of Listeria monocytogenes infections caused by contamination of frozen corn in Europe resulted in 47 cases and nine deaths. In 2016, a persistent polyclonal outbreak of Salmonella Enteritidis was linked to the consumption of eggs and was associated with hundreds of cases. The outbreak evaluations highlight the importance of rapid sharing of data (e.g., sequencing and tracing data) and the need for harmonizing bioinformatics outputs and computational approaches to facilitate detection and investigation of foodborne illnesses. These outbreaks led to development of a legal framework for a European collaboration platform for sharing whole genome sequence data and enabled the enforcement of existing hygiene and food safety provisions and the development of new hygiene guidelines and best practices. This review also briefly touches on the new trends in information technologies that are being explored for food traceability and safety. These technologies could enhance the traceability of food throughout the supply chain and redirect the conventional tracing system toward a digitized supply chain. HIGHLIGHT

Information Society Strategies in the European Context: The Case of Greece

This article sets out to analyze the policies adopted by the Greek government in its effort to accelerate the pace of reform towards a knowledge-based economy. These policies have to take into account the position that the country occupies within the emerging information society and, of course, the opportunities created by EU initiatives that aim to promote economic competitiveness and reduce regional disparities. Within this framework Greek policy makers have recognized the need for a coordinated, coherent and integrated approach, which attempts to diminish inequalities both within the country and with respect to other European Union economies. What emerges as a distinctive feature of the Greek information society strategy is the emphasis placed on the pivotal role of the state and the adoption of active interventionist policies

Evolutionary Poisson Games for Controlling Large Population Behaviors

Emerging applications in engineering such as crowd-sourcing and (mis)information propagation involve a large population of heterogeneous users or agents in a complex network who strategically make dynamic decisions. In this work, we establish an evolutionary Poisson game framework to capture the random, dynamic and heterogeneous interactions of agents in a holistic fashion, and design mechanisms to control their behaviors to achieve a system-wide objective. We use the antivirus protection challenge in cyber security to motivate the framework, where each user in the network can choose whether or not to adopt the software. We introduce the notion of evolutionary Poisson stable equilibrium for the game, and show its existence and uniqueness. Online algorithms are developed using the techniques of stochastic approximation coupled with the population dynamics, and they are shown to converge to the optimal solution of the controller problem. Numerical examples are used to illustrate and corroborate our results