Learning from the COVID-19 pandemic in Italy to advance multi-hazard disaster risk management

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 t...

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Bibliographic Details
Published in:Progress in Disaster Science Vol. 16; p. 100268
Main Authors: Terzi, Stefano, De Angeli, Silvia, Miozzo, Davide, Massucchielli, Lorenzo Stefano, Szarzynski, Joerg, Carturan, Fabio, Boni, Giorgio
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.12.2022
Elsevier BV
Elsevier
The Authors. Published by Elsevier Ltd
Subjects:
[SHS.GEO]Humanities and Social Sciences/Geography
[SPI.GCIV.RISQ]Engineering Sciences [physics]/Civil Engineering/Risques
Civil Engineering
COVID-19
COVID-19, Italian Red Cross, Multi-hazard disaster risk management
Engineering Sciences
Environmental sciences
GE1-350
Geography
H1-99
Humanities and Social Sciences
Italian red cross
Multi-hazard disaster risk management
Risques
Social sciences (General)
COVID-19
Nomenclature of Territorial Units for Statistics
Italian red cross
Intensive Care Units
Anticipatory Action
Disaster Risk Management Cycle
Multi-hazard disaster risk management
Disaster Risk Management
Local Administrative Unit
Italian Red Cross
ISSN:2590-0617, 2590-0617
Online Access:Get full text
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Summary: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. •We analyse Italian COVID-19 management data from the Italian Red Cross.•We propose a model with parallel phases for multi-hazard DRM.•The model accounts for the management of complex sudden- and slow-onset dynamics.•We identify three main guidelines for advancing multi-hazard DRM.
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Stefano Terzi and Silvia De Angeli equally contributed to this work as first authors.
ISSN:2590-0617
2590-0617
DOI:10.1016/j.pdisas.2022.100268