Only a limited number of studies have explored the effects of cumulative disaster exposure—defined here as multiple, acute onset, large-scale collective events that cause disruption for individuals, families, and entire communities. Research that is available indicates that children and adults who experience these potentially traumatic community-level events are at greater risk of a variety of negative health outcomes and ongoing secondary stressors throughout their life course. The present study draws on in-depth interviews with a qualitative subsample of nine mother-child pairs who were identified as both statistical and theoretical outliers in terms of their levels of disaster exposure through their participation in a larger, longitudinal
Women and Their Children’s Health (WaTCH) project that was conducted following the British Petroleum Deepwater Horizon Oil Spill. During Wave 2 of the WaTCH study, mothers and their children were asked survey questions about previous exposure to and the impacts of the oil spill, hurricanes, and other disasters. This article presents the qualitative interview data collected from the subsample of children and mothers who both endorsed that they had experienced three or more disasters that had a major impact on the child and the household. We refer to these children as exposure outliers. The in-depth narratives of the four mother-child pairs who told stories of multiple pre-disaster stressors emerging from structural inequalities and health and financial problems, protracted and unstable displacements, and high levels of material and social losses illustrate how problems can pile up to slow or completely hinder individual and family disaster recovery. These four mother-child pairs were especially likely to have experienced devastating losses in Hurricane Katrina in 2005, which
then led to an accumulation of disadvantage and ongoing cycles of loss and disruption. The stories of the remaining five mother-child pairs underscore how pre-disaster resources, post-disaster support, and institutional stabilizing forces can accelerate recovery even after multiple disaster exposures. This study offers insights about how families can begin to
prepare for a future that is likely to be increasingly punctuated by more frequent and intense extreme weather events and other types of disaster.
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Social Cohesion: Mitigating Societal Risk in Case Studies of Digital Media in Hurricanes Harvey, Irma, and Maria
Natural disasters affect thousands of communities every year, leaving behind human losses, billions of dollars in rebuilding efforts, and psychological affectation in survivors. How fast a community recovers from a disaster or even how well a community can mitigate risk from disasters depends on how resilient that community is. One main factor that influences communities' resilience is how a community comes together in times of need. Social cohesion is considered to be“the glue that holds society together, which can be better examined in a critical situation. There is no consensus on measuring social cohesion, but recent literature indicates that social media communications and communities play an essential role in today's disaster mitigation strategies.This research explores how to quantify social cohesion through social media outlets during disasters. The approach involves combining and implementing text processing techniques and graph network analysis to understand the relationships between nine different types of participants during hurricanes Harvey, Irma, and Maria. Visualizations are employed to illustrate these connections, their evolution before, during, and after disasters, and the degree of social cohesion throughout their timeline. The proposed measurement of social cohesion through social media networks presented in this work can provide future risk management and disaster mitigation policies. This social cohesion measure identifies the types of actors in a social network and how this network varies daily. Therefore, decisionmakers could use this measure to release strategic communication before, during, and after a disaster strikes, thus providing relevant information to people in need.
more » « less- NSF-PAR ID:
- 10443423
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- Risk Analysis
- Volume:
- 42
- Issue:
- 8
- ISSN:
- 0272-4332
- Page Range / eLocation ID:
- p. 1686-1703
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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