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Disaster Survivors' Anticipated Received Support in a Future Disaster.
Sarah R Lowe1, Megan N Young1, Joie Acosta2
11Department of Psychology,Montclair State University,Montclair,New Jersey.
Disaster Medicine and Public Health Preparedness
|February 21, 2018
Summary
Disaster survivors with less insurance and those living alone anticipated less support. Being married predicted more network support, while older age and lower education predicted less support.
Area of Science:
- Disaster preparedness and response
- Social science research
- Public health policy
Background:
- Post-disaster support is crucial for recovery.
- Understanding factors influencing support seeking is vital for effective aid.
- Previous research has not fully explored predictors of both network and non-network support utilization.
Purpose of the Study:
- To identify factors associated with anticipated support from network (e.g., family, friends) and non-network (e.g., government agencies) sources among Hurricane Sandy survivors.
- To inform strategies for improving post-disaster support systems.
Main Methods:
- A population-based sample of 409 Hurricane Sandy survivors was surveyed 25-28 months post-disaster.
- Participants reported on demographic characteristics, disaster exposure, mental health, and anticipated reliance on support sources for a future disaster.
- Community-level economic and social resources were also collected.
Main Results:
- Lack of insurance and living in neighborhoods with more single-person households predicted less anticipated network and non-network support.
- Marital status (married/cohabiting) was linked to greater anticipated network support.
- Older age and lower educational attainment were associated with less anticipated network support.
Conclusions:
- Anticipated post-disaster support is influenced by individual and community-level factors.
- Findings highlight disparities in expected support, particularly for vulnerable populations.
- Further research should validate these predictors with actual received support in future disaster scenarios.