Research Article
From Chaos to Clarity: Improving Disaster Databases for Effective Management
@INPROCEEDINGS{10.1007/978-3-032-05832-4_9, author={Nassif Bousaba and Christine Markarian}, title={From Chaos to Clarity: Improving Disaster Databases for Effective Management}, proceedings={Safe, Secure, Ethical, Responsible Technologies and Emerging Applications. Second EAI International Conference, SAFER-TEA 2024, Dubai, United Arab Emirates, December 9--10, 2024, Proceedings}, proceedings_a={SAFER-TEA}, year={2026}, month={11}, keywords={Regression Data Analysis Time Series Data Analysis Natural Disaster Management Data reliability Social economics}, doi={10.1007/978-3-032-05832-4_9} }- Nassif Bousaba
Christine Markarian
Year: 2026
From Chaos to Clarity: Improving Disaster Databases for Effective Management
SAFER-TEA
Springer
DOI: 10.1007/978-3-032-05832-4_9
Abstract
Natural disasters profoundly impact national economies and development, necessitating reliable data for effective disaster management. This paper explores the intersection of natural disasters and economic development, emphasizing the role of emerging technologies in enhancing societal resilience. It addresses the issue of data unreliability in current disaster databases and advocates for collaborative efforts to improve data accuracy. Specifically, a Disaster Severity Index (DSI) is introduced as a novel global framework for assessing disaster severity, integrating various economic and developmental indicators. The study highlights how a country’s socio-economic environment influences disaster impacts, particularly in vulnerable nations. Using regression and time series analysis, it uncovers intriguing relationships, such as the effect of epidemics on the Livestock Index in nations with low resilience. This underscores the complexity of disaster impacts and emphasizes the critical role of data reliability and technological advancements in strengthening societal resilience.