Culture and the psychological impacts of natural disasters: Implications for disaster management and disaster mental health

In recent decades, natural disasters have caused extensive losses and damages to human psychological wellbeing, economy, and society. It has been argued that cultural factors such as social values, traditions, and attachment to a location influence communities facing and responding to natural disasters. However, the issue of culture in disaster mental health seems to have received limited attention in policy and practice. This review highlights the importance of cultural background in the assessment of vulnerability to the psychological impacts of disasters, disaster preparedness, and provision of disaster mental health services. In particular, this paper suggests the importance of cultural competence in the planning and delivery of effective disaster mental health services. In order to address the varying circumstances of people with different cultural backgrounds, disaster mental health services must be developed in a culturally sensitive manner. Development of culturally competent disaster mental health services requires significant changes in policy making, administration, and direct service provision

Tsunami disaster recovery experience:a case study on micro, small and medium scale enterprises in Southern Sri Lanka

Post-disaster recovery of Micro, Small and Medium-Scale Enterprises (SMEs) remains an issue of interest for policy and practice given the wide scale occurrences of natural disasters around the globe and their significant impacts on local economies and SMEs. Asian Tsunami of December 2004 affected many SMEs in southern Sri Lanka. The study was developed to identify the main issues encountered by the Tsunami affected SMEs in Southern Sri Lanka in the process of their post-tsunami recovery. The study: a) identifies tsunami damage and loss in micro and SMEs in the Galle district; b) ascertains the type of benefits received from various parties by the affected micro and SMEs; c) evaluates the problems and difficulties faced by the beneficiary organizations in the benefit distribution process; and d) recommends strategies and policies for the tsunami-affected micro and SMEs for them to become self-sustaining within a reasonable time frame. Fifty randomly selected tsunami-affected micro and SMEs were surveyed for this study. Interviews were conducted in person with the business owners in order to identify the damages, recovery, rehabilitation, re-establishment and difficulties faced in the benefit distribution process. The analysis identifies that the benefits were given the wrong priorities and that they were not sufficient for the recovery process. In addition, the many governance-related problems that arose while distributing benefits are discussed. Overall, the business recovery rate was approximately 65%, and approximately 88% of business organizations were sole proprietorships. Therefore, the policies of the tsunami relief agencies should adequately address the needs of sole proprietorship business requirements. Consideration should also be given to strengthen the capacity and skills of the entrepreneurs by improving operational, technological, management and marketing skills and capabilities.

Searching for resilience in sustainable development:learning journeys in conservation

Resilience is a term that is gaining currency in conservation and sustainable development, though its meaning and value in this context is yet to be defined. Searching for Resilience in Sustainable Development examines ways in which resilience may be created within the web of ecological, socio-economic and cultural systems that make up the world in. The authors embark upon a learning journey exploring both robust and fragile systems and asking questions of groups and individuals actively involved in building or maintaining resilience.

A multi-agency perspective to disaster preparedness

The increasing number of victims from disasters in recent years results in several challenges for authorities aiming to protect and provide support to affected people. Humanitarian logistics represents one of the most important fields during preparedness and response in cases of disaster, seeking to provide relief, information and services to disaster victims. However, on top of the challenges of logistical activities, the successful completion of operations depends to a large extent on coordination. This is particularly important for developing countries, where disasters occur very often and resources are even scarcer. This paper assumes a multi-agency approach to disaster preparedness that combines geographical information systems (GIS) and multi-objective optimization. The purpose of the tool is to determine the location of emergency facilities, stock prepositioning and distribution allocation for floods. We illustrate the application and the results using a case study centred on Acapulco, México.

A conceptual framework for understanding resilience of construction SMEs to extreme weather events

Purpose Small and Medium-sized Enterprises (SMEs), which form a significant portion in many economies, are some of the most vulnerable to the impact of Extreme Weather Events (EWEs). This is of particular importance to the construction industry, as an overarching majority of construction companies are SMEs who account for the majority of employment and income generation within the industry. In the UK, previous research has identified construction SMEs as some of the worst affected by EWEs. Design/methodology/approach Given the recent occurrences of EWEs and predictions suggesting increases in both the intensity and frequency of EWEs in the future, improving the resilience of construction SMEs is vital for achieving a resilient construction industry. A conceptual framework is first developed which is then populated and expanded based on empirical evidence. Positioned within a pragmatic research philosophy, case study research strategy was adopted as the overall research strategy in undertaking this investigation. Findings Based on the findings of two in-depth case studies of construction SMEs, a framework was developed to represent EWE resilience of construction SMEs, where resilience was seen as a collective effect of vulnerability, coping strategies and coping capacities of SMEs, characteristics of the EWE and the wider economic climate. Originality/value The paper provides an original contribution towards the overarching agenda of the resilience of SMEs, and policy making in the area of EWE risk management by presenting a novel conceptual framework depicting the resilience of medium-sized construction companies.

Women’s adaptation to STEM domains promotes resilience and a lesser reliance on heuristic thinking

Experiences that compel people to challenge social stereotypes can promote enhanced cognitive flexibility on a range of judgmental domains. Women in STEM (science, technology, engineering, and math) fields are chronically exposed to such experiences and may therefore also demonstrate these benefits. Two studies examined the differential effects of counterstereotypical experiences on women from STEM and non-STEM fields. Results showed that imagining or recollecting these experiences led women from STEM fields to exhibit a lesser reliance on heuristic thinking compared to women from non-STEM fields, and this difference was mediated by self-perceived resilience to the negative impact of gender stereotyping. Implications for psychologists’ and educators’ understanding of the relationship between counterstereotypical experiences and heuristic thinking are discussed.

A multi-organisational approach for disaster preparedness and response:the use of optimisation and GIS for facility location, stock pre-positioning, resource allocation and relief distribution

From 1992 to 2012 4.4 billion people were affected by disasters with almost 2 trillion USD in damages and 1.3 million people killed worldwide. The increasing threat of disasters stresses the need to provide solutions for the challenges faced by disaster managers, such as the logistical deployment of resources required to provide relief to victims. The location of emergency facilities, stock prepositioning, evacuation, inventory management, resource allocation, and relief distribution have been identified to directly impact the relief provided to victims during the disaster. Managing appropriately these factors is critical to reduce suffering. Disaster management commonly attracts several organisations working alongside each other and sharing resources to cope with the emergency. Coordinating these agencies is a complex task but there is little research considering multiple organisations, and none actually optimising the number of actors required to avoid shortages and convergence. The aim of the this research is to develop a system for disaster management based on a combination of optimisation techniques and geographical information systems (GIS) to aid multi-organisational decision-making. An integrated decision system was created comprising a cartographic model implemented in GIS to discard floodable facilities, combined with two models focused on optimising the decisions regarding location of emergency facilities, stock prepositioning, the allocation of resources and relief distribution, along with the number of actors required to perform these activities. Three in-depth case studies in Mexico were studied gathering information from different organisations. The cartographic model proved to reduce the risk to select unsuitable facilities. The preparedness and response models showed the capacity to optimise the decisions and the number of organisations required for logistical activities, pointing towards an excess of actors involved in all cases. The system as a whole demonstrated its capacity to provide integrated support for disaster preparedness and response, along with the existence of room for improvement for Mexican organisations in flood management.

Why resilience managers aren’t resilient, and what human resource management can do about it

Prior resilience research typically focuses on either the individual or the organisational level of analysis, emphasises resilience in relation to day-to-day stressors rather than extreme events and is empirically under-developed. In response, our study inductively theorises about the relationships between individual and organisational resilience, drawing upon a large-scale study of resilience work in UK and French organisations. Our first-hand accounts of resilience work reveal the micro-processes involved in producing resilient organisations, and highlight the challenges experienced in doing resilience work in large organisations. We show that these micro-processes have significant implications for resilience at both individual and organisational levels, and draw implications for how HRM interventions can help to promote individual, and thus organisational, resilience.

Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder

Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers that can reliably detect disease-related signals in clinically heterogeneous populations. At the very least, diagnostic markers should be able to differentiate patients with BD from healthy individuals and from individuals at familial risk for BD who either remain well or develop other psychopathology, most commonly Major Depressive Disorder (MDD). These issues are particularly pertinent to the development of translational applications of neuroimaging as they represent challenges for which clinical observation alone is insufficient. We therefore applied pattern classification to task-based functional magnetic resonance imaging (fMRI) data of the n-back working memory task, to test their predictive value in differentiating patients with BD (n=30) from healthy individuals (n=30) and from patients' relatives who were either diagnosed with MDD (n=30) or were free of any personal lifetime history of psychopathology (n=30). Diagnostic stability in these groups was confirmed with 4-year prospective follow-up. Task-based activation patterns from the fMRI data were analyzed with Gaussian Process Classifiers (GPC), a machine learning approach to detecting multivariate patterns in neuroimaging datasets. Consistent significant classification results were only obtained using data from the 3-back versus 0-back contrast. Using contrast, patients with BD were correctly classified compared to unrelated healthy individuals with an accuracy of 83.5%, sensitivity of 84.6% and specificity of 92.3%. Classification accuracy, sensitivity and specificity when comparing patients with BD to their relatives with MDD, were respectively 73.1%, 53.9% and 94.5%. Classification accuracy, sensitivity and specificity when comparing patients with BD to their healthy relatives were respectively 81.8%, 72.7% and 90.9%. We show that significant individual classification can be achieved using whole brain pattern analysis of task-based working memory fMRI data. The high accuracy and specificity achieved by all three classifiers suggest that multivariate pattern recognition analyses can aid clinicians in the clinical care of BD in situations of true clinical uncertainty regarding the diagnosis and prognosis.