At present, our understanding of appropriate long-term disaster risk management is limited by the lack of in-depth knowledge on the impacts of disasters. In this regard, recording disaster impacts at detailed level is crucial for informed decision making, using methodologies that allow aggregation over space and in time. Scientific approaches for record disaster losses consistently and accurately are essential to move from undependable evidence driven mainly by media coverage to more systematic and proven datasets on disaster impacts. New partnerships between science and DRR actors are enabling just this.
Disaster loss data recording is the mechanism that links the science of risk assessment to the policy making for reducing disaster risks. Loss data collections are useful, for identifying trends and patterns in the data over time sand for tracking relationships between development and disaster risk (IFRC, 2005). As evidenced in the Global Assessment Report (GAR), loss data, recorded in national and global disaster databases are increasingly being used within risk modelling platforms to guide the decision-making processes of DRR (ISDR, 2013). When combined with ancillary data such as disaster risk
management expenditures or demographic information (Gall et al., 2015), disaster loss data are essential indicators on the relevance of DRR policies in a broader context of development and climate change.
This note discusses the relevance of disaster loss data for evidence based policy in DRR and the main application domains of loss data within the European Union (EU) Member States.
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