We analyse Italian COVID-19 management data from the Italian Red Cross.
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We propose a model with parallel phases for multi-hazard DRM.
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The model accounts for the management of complex sudden- and slow-onset dynamics.
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We identify three main guidelines for advancing multi-hazard DRM.
Abstract
COVID-19 challenged all national emergency management systems worldwide overlapping with other natural hazards. We framed a ‘parallel phases’ Disaster Risk Management (DRM) model to overcome the limitations of the existing models when dealing with complex multi-hazard risk conditions. We supported the limitations analysing Italian Red Cross data on past and ongoing emergencies including COVID-19 and we outlined three guidelines for advancing multi-hazard DRM: (i) exploiting the low emergency intensity of slow-onset hazards for preparedness actions; (ii) increasing the internal resources and making them available for international support; (iii) implementing multi-hazard seasonal impact-based forecasts to foster the planning of anticipatory actions.