EM-DAT Disaster Database Analysis
EM-DAT, the Emergency Events Database maintained by the Centre for Research on the Epidemiology of Disasters (CRED) at UCLouvain, is the most widely used global compilation of disaster occurrence and impact, and its analysis is a standard empirical method in disaster studies. The database records mass disasters from 1900 to the present according to explicit entry criteria, classifies each event by a natural or technological hazard taxonomy, and captures human and economic impacts — deaths, people affected, and damage. Analyzing EM-DAT means querying these records, adjusting economic losses for inflation and exposure, normalizing human impacts by population, and examining trends and patterns across hazard types, regions, and time. Because the data carry known inclusion thresholds and reporting biases, rigorous EM-DAT analysis is as much about understanding what the database can and cannot say as about the statistics themselves.
Läs hela metoden
Logga in med ett kostnadsfritt konto för att läsa avsnittet.
Metodkarta
Närområdet av besläktade metoder — välj en nod för att utforska.
Källor
- Delforge, D., Wathelet, V., Below, R., Lanfredi Sofia, C., Tonnelier, M., van Loenhout, J. A. F., & Speybroeck, N. (2025). EM-DAT: the Emergency Events Database. International Journal of Disaster Risk Reduction, 124, 105509. DOI: 10.1016/j.ijdrr.2025.105509 ↗
- United Nations Office for Disaster Risk Reduction (2015). Sendai Framework for Disaster Risk Reduction 2015-2030. UNDRR, Geneva. link ↗
Så citerar du den här sidan
ScholarGate. (2026, June 23). EM-DAT Emergency Events Database Analysis. ScholarGate. https://scholargate.app/sv/disaster-studies/em-dat-disaster-database-analysis
Vilken metod?
Placera den här metoden bredvid sina närmaste släktingar och läs dem sida vid sida — biblioteket lägger fram böckerna på bordet; valet är ditt.
- Disaster Recovery Curve AnalysisDisaster Studies↔ jämför
- Post-Disaster Needs AssessmentDisaster Studies↔ jämför
- Sendai Framework Indicator MonitoringDisaster Studies↔ jämför
Refereras av
Liknande metoder
Hittade du ett fel på sidan? Rapportera eller föreslå en rättelse →