Climate change and non-migration — exploring the role of place relations in rural and coastal Bangladesh

Population and Environment - Of growing research and policy interest are the experiences of people living under conditions of climate change–induced environmental stress, which either are...     

Editors’ letter: New research and opportunities in public relations and visual communication

We are proud to present four articles exploring the intersections of public relations and visual communication as a way to move both fields forward, together and separately. The articles focus on health communication, crisis communication, social media, and corporate social responsibility, and the editors end with concrete suggestions for future research, including expanding theory and methodological applications.     

Depressive Symptoms and Gambling Behavior: Mediating Role of Coping Motivation and Gambling Refusal Self-Efficacy

Understanding the variables that contribute to the comorbidity of depression and gambling behaviors is important in developing effective intervention strategies for those who experience gambling-related problems. The purpose of this study was to implement core concepts from Jacob’s general theory of addiction and the social cognitive theory in a multiple mediation model. Specifically, we tested two models to examine whether coping motivation and refusal self-efficacy mediated the relationship between depressive symptoms, gambling related problems, and days gambled. Data was collected from 333 undergraduate students at a large public Midwest university, participating in a larger clinical trial. Analyses indicated a direct effect between depressive symptoms and gambling related problems. Depressive symptoms were found to have a significant indirect effect through coping motivation and gambling refusal self-efficacy on gambling related problems and days gambled. These results provide further support regarding the mechanisms through which depressive symptoms may increase risk for problematic gambling behavior.     

They Say Bad Things Come in Threes: How Economic,Political and Cultural Shifts Facilitated Contemporary Anti‐Immigration Activism in the United States

This paper, first, provides an analysis of contemporary anti‐immigration activism in the United States, situating it historically and theoretically through an examination of nativism and vigilantism. Second, it merges insights from political process theory and structured ignorance theory to develop an historical account of three key preconditions that set the stage for and accelerated contemporary anti‐immigration activism. In so doing this paper addresses fundamental empirical and theoretical gaps in political process theory and demonstrates how structured ignorance theory can help us better understand how shifting structural conditions promoted contemporary anti‐immigration mobilization by generating perceptions conducive to conservative activism.     

Radiological Risk Assessment by Convergence Methodology Model in RDD Scenarios

A radiological dispersal device (RDD) is a simple weapon capable of causing human harm, environmental contamination, disruption, area denial, and economic cost. It can affect small, large, or long areas depending on atmospheric stability. The risk of developing a radio‐induced cancer depends on exposure, and an effective response depends upon available timely guidance. This article proposes and demonstrates a convergence of three different capabilities to assess risk and support rapid safe resource efficient response. The three capabilities that are integrated are Hotspot for dispersion, RERF for epidemiological risk, and RESRAD‐RDD for response guidance. The combined methodology supports decisions on risk reduction and resource allocation through work schedules, the designation and composition of response teams, and siting for operations. In the illustrative RDD scenario, the contamination area for sheltering, evacuation, and long‐term public concern was greatest for calm atmospheric conditions, whilst close‐quarter responders faced highest dose rates for neutral atmospheric conditions. Generally, the risks to women responders were found to be significantly greater than for men, and the risks to 20‐year‐old responders were three times that of their 60‐year‐old counterparts for similar exposure.     

Current and Future Particulate‐Matter‐Related Mortality Risks in the United States from Aviation Emissions During Landing and Takeoff

Demand for air travel is projected to increase in the upcoming years, with a corresponding influence on emissions, air quality, and public health. The trajectory of health impacts would be influenced by not just emissions growth, but also changes in nonaviation ambient concentrations that influence secondary fine particulate matter (PM_2.5) formation, population growth and aging, and potential shifts in PM_2.5 concentration‐response functions (CRFs). However, studies to date have not systematically evaluated the individual and joint contributions of these factors to health risk trajectories. In this study, we simulated emissions during landing and takeoff from aircraft at 99 airports across the United States for 2005 and for a 2025 flight activity projection scenario. We applied the Community Multiscale Air Quality (CMAQ) model with the Speciated Modeled Attainment Test (SMAT) to determine the contributions of these emissions to ambient concentrations, including scenarios with 2025 aircraft emissions and 2005 nonaviation air quality. We combined CMAQ outputs with PM_2.5 mortality CRFs and population projections, and evaluated the influence of changing emissions, nonaviation concentrations, and population factors. Given these scenarios, aviation‐related health impacts would increase by a factor of 6.1 from 2005 to 2025, with a factor of 2.1 attributable to emissions, a factor of 1.3 attributable to population factors, and a factor of 2.3 attributable to changing nonaviation concentrations which enhance secondary PM_2.5 formation. Our study emphasizes that the public health burden of aviation emissions would be significantly influenced by the joint effects of flight activity increases, nonaviation concentration changes, and population growth and aging.     

A Comprehensive Network Security Risk Model for Process Control Networks

The risk of cyber attacks on process control networks (PCN) is receiving significant attention due to the potentially catastrophic extent to which PCN failures can damage the infrastructures and commodity flows that they support. Risk management addresses the coupled problems of (1) reducing the likelihood that cyber attacks would succeed in disrupting PCN operation and (2) reducing the severity of consequences in the event of PCN failure or manipulation. The Network Security Risk Model (NSRM) developed in this article provides a means of evaluating the efficacy of candidate risk management policies by modeling the baseline risk and assessing expectations of risk after the implementation of candidate measures. Where existing risk models fall short of providing adequate insight into the efficacy of candidate risk management policies due to shortcomings in their structure or formulation, the NSRM provides model structure and an associated modeling methodology that captures the relevant dynamics of cyber attacks on PCN for risk analysis. This article develops the NSRM in detail in the context of an illustrative example.