Bakgrund: Katastrofer orsakar stor skada på samhällen och människor samt är svåra att förebygga helt. Trycket på sjukvården ökar markant till följd av katastrofer. Sjuksköterskorna är den professionen som blivit synonym med katastrofvård. Syfte: Syftet med litteraturstudien var att belysa sjuksköterskors upplevelser av att vårda i ett katastrofdrabbat område. Metod: Studien genomfördes som en allmän litteraturstudie med induktiv ansats. Underlaget blev åtta kvalitativa resultatartiklar som bearbetades genom en innehållsanalys. Resultat: Studiens resultat påvisade att vårda i en katastrofvar mer komplext och hade fler dimensioner än vården i en icke katastrofmiljö. Sjuksköterskorna upplevde påfrestningar i form av yttre faktorer som farliga miljöer, bristande resurser, utmattande arbetsförhållanden och kulturella skillnader. Sjuksköterskorna mötte moraliska dilemman och tvingades till ställningstaganden med direkt påverkan på egen och patientens hälsa. En ökad emotionell och fysisk belastning på sjuksköterskorna förekom under katastrofen Konklusion: Sjuksköterskornas upplevelser grundade sig i de yttre faktorerna som i sin tur skapade moraliska dilemman. De upplevelserna la grunden till de emotionella och fysiska påfrestningarna som sjuksköterskorna upplevde. Det finns behov av vidare forskning kring omvårdnad i katastrofer för att möjliggöra bättre förberedelser vilket skulle stärka sjuksköterskornas resiliens och därav öka kvalitén på vården. / Background: Disasters cause great damage to communities as well as people and arehard to entirely prevent. The amount of workload on healthcare is heavily increased as aresult of a disaster. The nursing profession has become synonymous with disaster care. Aim: The aim of this study was to illustrate nurses' experiences of caring in a disasterstricken area. Method: The method used in this study was a general literature study with an inductive approach. Eight qualitative articles became the basis of this study and these were processed through a content analysis. Result: The result in this study showedthat caring in a disaster was more complex and featured additional dimensions compared to that of a non disaster-stricken environment. The nurses experienced strains from external factors such as dangerous environments, lack of resources, exhausting working conditions and cultural differences. The nurses were caught in ethical dilemmas and were forced to make the hard choices which had a direct impact on theirown and the patients health. An increase in emotional and physical load on the nurseswas apparent throughout the disaster. Conclusion: The nurses' experiences were based on external factors which in turn created ethical dilemmas. These experiences lay the foundation for the emotional and physical strains on the nurses. There is a need forfurther research of disaster nursing to improve the preparations which would in turn strengthen the nurses resilience and thereby increase the quality of care.

The Red Cross traditional method of Disaster Health System (DHS) response is ' boots on the ground.' Texas, the 2nd largest state by population and land mass, has only 15 DHS volunteer nurses who were not able to meet the needs of disaster victims in Texas with the traditional response method. The Texas Red Cross DHS volunteer nurses began piloting a virtual DHS model in 2014. The research question was how Texas Red Cross nurses designed, developed, implemented, and evaluated the Texas Red Cross virtual DHS Model. The purpose of this case study was to provide this information in a case study. The research approach followed a single investigator case study design that utilized Roger's diffusion of innovations theory and Lewin's change theory to identify how this virtual pilot was created and implemented in Texas. The processes developed and utilized are provided in detail in this case study. Data maintained by the Texas DHS team from March, 2016 to March, 2017 provided evidence that all 1,724 cases assigned to the DHS team were worked and closed by a Texas DHS volunteer. A qualitative summary of nurses' satisfaction with this model was uniformly positive. This provided support for the use of the virtual model for communication to meet the disaster-related health needs of disaster victims in Texas. The use of a virtual model for disaster management supports positive social change in addressing the disaster-related health needs of disaster victims in Texas and for possible use by other Red Cross DHS stakeholders.

京都大学 / 0048 / 新制・課程博士 / 博士(地球環境学) / 甲第19420号 / 地環博第146号 / 新制||地環||29(附属図書館) / 32445 / 京都大学大学院地球環境学舎地球環境学専攻 / (主査)准教授 西前 出, 教授 舟川 晋也, 教授 清野 純史 / 学位規則第4条第1項該当 / Doctor of Global Environmental Studies / Kyoto University / DFAM

Catastrophic disasters are different than routine disasters and managing them requires the mobilization of inter-organizational, inter-governmental, cross-sectoral and international humanitarian support. The role of the international community through International Nongovernmental Organizations (INGOs), and multi-lateral organizations such as the United Nations (UN) becomes imperative when the scale of the disaster is unprecedented and difficult for a country to manage on its own. The initial response and relief phase of managing disasters is one in which many agencies with different expertise, capacities, working mandates, resources, skills, working cultures and norms come together to coordinate and collaborate to provide timely response and relief services. Thus, the terrain of managing catastrophic disasters is complex and requires a deeper study to understand and delineate the factors shaping and facilitating collaborative response and relief efforts. This study examines the multi-level and multi-layered collaborative response networks present at the national-international level, provincial and district/local level of disaster response and interactions. In this research the nature and effectiveness of collaboration is being studied through a relevant case study of a catastrophic natural disaster, the 2010 Pakistan Floods. The phase of immediate response is explored primarily through Network Theory perspectives including supportive theoretical perspectives such as Social Capital, Resource Dependency, and Institutional Collective Action Theory perspectives that help to explain collaborative interactions in disaster response networks. This study explores and describes factors that influence (either facilitate or hinder) collaboration is disaster response networks. iv The key research questions for this study are: What factors facilitate and impede collaborative response to catastrophic disasters at the local, provincial, national and international levels? What are the differences and similarities in response systems at different levels? Additional questions address how leadership support (attributed to government and political leaders and organizations), institutional support (in the form of plans, international appeals of response, and development of relief funds to manage aid), network capacity of different organizations (programmatic and relational), nature of resource dependencies between responding agencies, and structural configurations of response systems impact the collaborative response in disasters. A case study method has been applied in this research. The 2010 Pakistan Floods response network/system is identified through content analysis of various newspapers, situation reports and after-action reports using the Social Network Analysis (SNA) method via UCINET Software 6.1. The actual response network is analyzed and compared with existing national disaster response plans to examine the effectiveness of collaborative response through centrality measures, clique analysis and visual display. This approach is supplemented with semistructured interviews of key institutional representatives that responded to the 2010 Floods. These organizations and institutions were primarily identified through the networks formulated via SNA. Findings and results from the analysis reflect that the response networks at each level of analysis differ both in structural aspects and also in functional aspects. The nature of the international-national response system is focused on mobilizing donor support and receiving and v managing aid, both in-kind and cash. Also a major role at the international and national level is to mobilize the UN cluster approach and focus on broader aims of response such as providing shelter and food to affected areas. Some of the factors identified as facilitating collaborative response were leadership of both national and international leaders, and availability of donor support and funds. At the provincial level of analysis, the Chief Minister of Punjab is playing a central and influential role and is partnering closely with the Armed Forces and local district administration. Interviews conducted of provincial level officials help to support the hypotheses concerning leadership support’s influence on collaborative response and also the role of institutional support in the form of creation of plans, and policies that help to mobilize quick funds and resources for relief. At the local level of response, networks are highly influenced by local conditions and local capacities of the district administration. Thus, there are diverse factors impacting each level of collaborative disaster response. All in all, leadership support, institutional support and network structural aspects are important variables that impact the effectiveness of collaborative response. Today policy makers are trying to figure out ways to collaborate successfully across sector boundaries for better and effective service delivery, both in the mundane operational tasks and in uncertain and complex situations such as disasters and catastrophic events. Thus, this research helps in expanding the literature on collaborative public management, collaborative emergency management, and network management. Also the frequency of natural disasters throughout the world demonstrate the need to study and examine factors that contribute to or hinder the effectiveness of inter-organizational response in disasters.

BACKGROUND: The World Bank report warns that the poor living in informal settlements and slum conditions are the most likely to be killed or harmed by extreme weather. They are morevulnerable to disasters often due to clogged drains, land subsidence, heat waves, and increased health risks. Disaster management (DM) in slums is part of a larger development problem in developing countries. However, analytical literature on the exact link and nature of problemsfaced by slum dwellers due to climate change and disasters is scarce. More research is needed to address the gap in literature between increasing urbanisation and the implications for the urban poor in disaster management plans (DMPs). METHODOLOGY: This research was granted approval by the Hamilton Health Sciences ResearchEthics Board on May 28, 2014. In June 2014, semi-structured interviews and focus groups were conducted, including 24 interviews and 9 focus groups with community members (CMs), 12 interviews with key informants from organisations in the civil society (CSOs), and 3 interviews with Government officials (GOs). The interviews and focus groups were transcribed verbatim (to the extent possible) and imported into NVivo 10 (QSR International) for qualitative content analysis. RESULTS: Five key points were made by participants in the focus groups and interviews: 1.) Some physical and non-physical infrastructure needs were not considered by GOs and CSOs for slum upgrading, such as the repair of shelter roofs and the creation of self-formed slum groups, 2.) Bottom-up participation and citizen engagement needed to be improved during the design and implementation of DMPs, 3.) Communication was pertinent during all phases of the DM cycle, including multisectorial involvement from all three stakeholder groups, 4.) Different barrierswere raised, including urbanization and planning, which affected the required participation and communication in DM, and 5.) Even substantial levels of water in the home at 3-4 inches high were described as waterlogging rather than flooding, suggesting that disasters were being normalised. DISCUSSION AND CONCLUSION: By describing different measures and approaches that are used for and by the urban poor, new DM strategies are suggested (such as scaling up and including new components in Slum Upgrading Programs). Several recommendations were made to improve DM planning, including the need to overcome several barriers and the potential of formulating contextual DMPs (such as an Earthquake Action Plan). A novel finding was the apparent normalisation of disasters. This raises important questions about how disasters are framed in Ahmedabad and the policy solutions that result from it. Climate change was seldom noted, even though it is expected to increase the frequency and intensity of future disasters. These findings can be considered for policy makers in megacities around the world and in the post-2015 Millennium Development Goals and Hyogo Framework of Action. / Thesis / Master of Science (MSc)

Winter Storm Uri damaged parts of the United States, Mexico, and Canada in February of 2021. The State of Texas was heavily affected due to the institutional failure of Texas's primary power provider, the Electric Reliability Council of Texas (ERCOT). Despite similar previous storms that exposed weaknesses in the state's power grid system in 1999 and 2011, ERCOT did not make the necessary changes to prevent a future disaster. The purpose of this study is to advance the understanding of the concept of recreancy through the exploration of eight different dimensions of the concept: trust or distrust in institutions; institutional responsibility for disaster preparedness; responsibility for impacts of a disaster; effectiveness or ineffectiveness of institutions in responding to a disaster; an institution's capability of preventing a similar event in the future; an institution's willingness to make changes in their actions or behavior; confidence that an institution will prevent a similar event in the future; and responsibility for compensation for impacts of a disaster. To examine the composition of the concept of recreancy, I analyzed survey data collected in Texas during April and May of 2022. I aggregated and coded survey data according to the level respondents reported to agree with the survey indicators measuring dimensions of recreancy. I utilized Confirmatory Factor Analysis to analyze if the derived dimensions of recreancy measure recreancy, and if some are more salient than others. Confirmatory Factor Analysis revealed variability in the importance of different dimensions of recreancy, suggesting that some dimensions are more salient than others in shaping residents' perceptions of recreancy in the context of Winter Storm Uri. Further analysis revealed a preliminary model to operationalize recreancy, however further analysis is needed. / Master of Science / In February 2021, Winter Storm Uri devasted regions of the United States, Mexico, and Canada. The state of Texas experienced significant storm impacts due to the failure of its primary power provider, the Electric Reliability Council of Texas (ERCOT). ERCOT is responsible for overseeing and managing the state's power grid. Similar storms in 1999 and 2011 revealed weaknesses in the power grid's infrastructure—state officials mandated but did not require weatherization precautions to prevent future grid failures. ERCOT did not implement the suggested changes and the power grid failure during Winter Storm Uri left millions of Texas residents without access to power, heat, water, and other necessary services. This thesis explores residents' perceptions of ERCOT's institutional failure—recreancy—and aims to understand the concept of recreancy through the examination of eight dimensions: trust or distrust in institutions; institutional responsibility for disaster preparedness; responsibility for impacts of a disaster; effectiveness or ineffectiveness of institutions in responding to a disaster; an institution's capability of preventing a similar event in the future; an institution's willingness to make changes in their actions or behavior; confidence that an institution will prevent a similar event in the future; and responsibility for compensation for impacts of a disaster. I analyzed survey respondents' levels of agreement with each dimension and utilized Confirmatory Factor Analysis to assess the relative importance of the dimensions and if they accurately capture recreancy.

Yes / This paper proposes a framework to cope with the lack of data at the time of a disaster by em-ploying predictive models. The framework can be used for disaster human impact assessment based on the socio-economic characteristics of the affected countries. A panel data of 4252 natural onset disasters between 1980 to 2020 is processed through concept drift phenomenon and rule-based classifiers, namely Moving Average (MA). A Predictive model for Estimating Data (PRED) is developed as a decision-making platform based on the Disaster Severity Analysis (DSA) Technique. A comparison with the real data shows that the platform can predict the human impact of a disaster (fatality, injured, homeless) up to 3% errors; thus, it is able to inform the selection of disaster relief partners for various disaster scenarios.

The intensifying nature and extent of disasters together with the associated devastation and astronomical costs required to manage the rippling effects of disasters, enunciates the national and international focus on disaster risk reduction. Further the ever evolving and complex dynamics of risk as the decisive contributor to disasters has heightened the urgency to pursue effective disaster risk assessment as a prerequisite to inform the disaster risk management planning and disaster risk reduction intervention processes. A structured and systematic approach to disaster risk assessment assists in maintaining rigour thus promoting the quality and validity of the process and its outcomes. Appropriate models serve as valuable tools in enabling this methodological perspective to undertake disaster risk assessment. The nonexistence of an appropriate disaster risk assessment model in South Africa has initiated the emphasis and purpose of this study thereby underscoring the critical need for the development of an effective, holistic and integrated disaster risk assessment model for local government in South Africa. In spear heading the process towards the development of an appropriate disaster risk assessment model, the research commenced with establishing and asserting the fundamental link between disaster risk assessment and disaster risk reduction as an avenue to contextualise and ground the key issues in effective disaster risk reduction. The exploratory analysis engaged in presenting a theoretical construct of disaster risk assessment examined the core components informing the disaster risk assessment process. This discussion led to the comparative review of three disaster risk assessment models viz the Community-Wide Vulnerability and Capacity Assessment (CVCA) Model, the Community-Based Risk Reduction Model and the South African Disaster Risk Assessment Model interrogating the significant characteristics, structure and application of the models. The results of the comparison of the above three models provided the necessary insight for the development of the disaster risk assessment model for local government in South Africa. Further influenced by the outcomes of the applied research on the critical analysis of the current disaster risk assessment practice within the four selected municipalities representing local government in South Africa; viz eThekwini Metropolitan, Ekurhuleni Metropolitan, Bojanala District and Stellenbosch local Municipalities. Through the data coding, classification and interpretive process, constructive and correlated research findings were immanent guiding the final development of the integrated disaster risk assessment model for local government in South Africa. / Thesis (Ph.D. (Public Management and Administration))--North-West University, Potchefstroom Campus, 2012

The intensifying nature and extent of disasters together with the associated devastation and astronomical costs required to manage the rippling effects of disasters, enunciates the national and international focus on disaster risk reduction. Further the ever evolving and complex dynamics of risk as the decisive contributor to disasters has heightened the urgency to pursue effective disaster risk assessment as a prerequisite to inform the disaster risk management planning and disaster risk reduction intervention processes. A structured and systematic approach to disaster risk assessment assists in maintaining rigour thus promoting the quality and validity of the process and its outcomes. Appropriate models serve as valuable tools in enabling this methodological perspective to undertake disaster risk assessment. The nonexistence of an appropriate disaster risk assessment model in South Africa has initiated the emphasis and purpose of this study thereby underscoring the critical need for the development of an effective, holistic and integrated disaster risk assessment model for local government in South Africa. In spear heading the process towards the development of an appropriate disaster risk assessment model, the research commenced with establishing and asserting the fundamental link between disaster risk assessment and disaster risk reduction as an avenue to contextualise and ground the key issues in effective disaster risk reduction. The exploratory analysis engaged in presenting a theoretical construct of disaster risk assessment examined the core components informing the disaster risk assessment process. This discussion led to the comparative review of three disaster risk assessment models viz the Community-Wide Vulnerability and Capacity Assessment (CVCA) Model, the Community-Based Risk Reduction Model and the South African Disaster Risk Assessment Model interrogating the significant characteristics, structure and application of the models. The results of the comparison of the above three models provided the necessary insight for the development of the disaster risk assessment model for local government in South Africa. Further influenced by the outcomes of the applied research on the critical analysis of the current disaster risk assessment practice within the four selected municipalities representing local government in South Africa; viz eThekwini Metropolitan, Ekurhuleni Metropolitan, Bojanala District and Stellenbosch local Municipalities. Through the data coding, classification and interpretive process, constructive and correlated research findings were immanent guiding the final development of the integrated disaster risk assessment model for local government in South Africa. / Thesis (Ph.D. (Public Management and Administration))--North-West University, Potchefstroom Campus, 2012

Depending on their nature and severity, disasters can create large volumes of debris and waste. Waste volumes from a single event can be the equivalent of many times the annual waste generation rate of the affected community. These volumes can overwhelm existing solid waste management facilities and personnel. Mismanagement of disaster waste can affect both the response and long term recovery of a disaster affected area. Previous research into disaster waste management has been either context specific or event specific, making it difficult to transfer lessons from one disaster event to another. The aim of this research is to develop a systems understanding of disaster waste management and in turn develop context- and disaster-transferrable decision-making guidance for emergency and waste managers. To research this complex and multi-disciplinary problem, a multi-hazard, multi-context, multi-case study approach was adopted. The research focussed on five major disaster events: 2011 Christchurch earthquake, 2009 Victorian Bushfires, 2009 Samoan tsunami, 2009 L’Aquila earthquake and 2005 Hurricane Katrina. The first stage of the analysis involved the development of a set of ‘disaster & disaster waste’ impact indicators. The indicators demonstrate a method by which disaster managers, planners and researchers can simplify the very large spectra of possible disaster impacts, into some key decision-drivers which will likely influence post-disaster management requirements. The second stage of the research was to develop a set of criteria to represent the desirable environmental, economic, social and recovery effects of a successful disaster waste management system. These criteria were used to assess the effectiveness of the disaster waste management approaches for the case studies. The third stage of the research was the cross-case analysis. Six main elements of disaster waste management systems were identified and analysed. These were: strategic management, funding mechanisms, operational management, environmental and human health risk management, and legislation and regulation. Within each of these system elements, key decision-making guidance (linked to the ‘disaster & disaster waste’ indicators) and management principles were developed. The ‘disaster & disaster waste’ impact indicators, the effects assessment criteria and management principles have all been developed so that they can be practically applied to disaster waste management planning and response in the future.