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Social Vulnerability to Environmental Hazards

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The article was published on 2010-01-01 and is currently open access. It has received 1006 citations till now. The article focuses on the topics: Social vulnerability & Vulnerability.

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Citations
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Community Resilience as a Metaphor, Theory, Set of Capacities, and Strategy for Disaster Readiness

TL;DR: To build collective resilience, communities must reduce risk and resource inequities, engage local people in mitigation, create organizational linkages, boost and protect social supports, and plan for not having a plan, which requires flexibility, decision-making skills, and trusted sources of information that function in the face of unknowns.
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A place-based model for understanding community resilience to natural disasters

TL;DR: In this article, the disaster resilience of place (DROP) model is proposed to improve comparative assessments of disaster resilience at the local or community level, and a candidate set of variables for implementing the model are also presented as a first step towards its implementation.
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Disaster Resilience Indicators for Benchmarking Baseline Conditions

TL;DR: In this article, the authors provide a methodology and a set of indicators for measuring baseline characteristics of communities that foster resilience by establishing baseline conditions, it becomes possible to monitor changes in resilience over time in particular places and to compare one place to another.
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A Social Vulnerability Index for Disaster Management

TL;DR: In this article, the development of a social vulnerability index (SVI) from 15 census variables at the census tract level for use in emergency management is described, and the potential value of the SVI by exploring the impact of Hurricane Katrina on local populations.
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Framing vulnerability, risk and societal responses: the MOVE framework

TL;DR: The framework presented enhances the discussion on how to frame and link vulnerability, disaster risk, risk management and adaptation concepts and shows key linkages between the different concepts used within the disaster risk management (DRM) and climate change adaptation research.
References
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Social Vulnerability and Ebola Virus Disease in Rural Liberia.

TL;DR: A Social Vulnerability Classification using census indicators and mapped it at the district scale for Liberia finds that districts having the highest social vulnerability lie in the north and west of Liberia in Lofa, Bong, Grand Cape Mount, and Bomi counties.
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Mapping and assessing coastal resilience in the Caribbean region

TL;DR: In this paper, the authors used the Resilience Inference Measurement (RIM) model to assess the resilience of 25 countries in the Caribbean region to hurricanes and found that Turks & Caicos Islands had the highest resilience, whereas Montserrat had the lowest resilience.
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The Utility of Vulnerability and Social Capital Theories in Studying the Impact of Hurricane Katrina on the Elderly

TL;DR: In this paper, an integrated vulnerability and social capital framework has much merit and potential in studying the impact of natural disasters on the elderly and other populations, and the authors emphasized the importance of using a sound theoretical framework and the utility and efficacy of vulnerability and Social capital theories in studying how to deal with natural disasters in the elderly population.
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Meaning and Posttraumatic Growth Among Survivors of the September 2013 Colorado Floods.

TL;DR: Search for meaning in life may be an important part of recovery from natural disasters, floods being one example, and the present study of 57 survivors of the 2013 Colorado floods concludes.
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Disaster Vulnerability Mapping for a Densely Populated Coastal Urban Area: An Application to Mumbai, India

TL;DR: In this paper, the authors proposed a framework to assess the vulnerability of any densely populated urban area to disasters by considering both the population and the assets that are at risk, and a set of indicators was also proposed to assess vulnerability of social and socioeconomic systems, infrastructure, critical facilities, and adaptive capacity.
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