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On the Need for Prospective Disaster Survey Panels
Andrew M Parker1, Amanda F Edelman2, Katherine G Carman2
1RAND Corporation, Pittsburgh, PA.
Disaster Medicine and Public Health Preparedness
|November 13, 2019
Summary
Disaster research is often reactive due to a lack of predisaster data. Future studies need longitudinal, large-scale surveys to accurately measure the human impact of disasters.
Area of Science:
- Social and behavioral sciences
- Disaster research
- Public health
Background:
- Most disaster studies are reactive, lacking crucial predisaster data.
- Existing data is often incidental, not from planned pre-post designs.
- This limits quantifying the human toll and understanding public reactions.
Purpose of the Study:
- To highlight the need for proactive disaster research methodologies.
- To emphasize the importance of longitudinal data collection.
- To inform policy and practice for better disaster management.
Main Methods:
- The study emphasizes the need for well-designed surveys.
- It calls for large probability-based samples.
- Longitudinal assessment of individuals across disaster lifecycles is recommended.
Main Results:
- Current disaster research is fundamentally limited by its reactive nature.
- Self-reports on perceived risk and social learning are vital data sources.
- A significant gap exists in understanding disaster impacts over time.
Conclusions:
- Advancing disaster research requires a shift towards proactive, longitudinal studies.
- Rigorous scientific methods, including large-scale surveys, are essential.
- Understanding public reactions across the disaster lifecycle is key for effective response and policy.
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