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Learning from the COVID-19 pandemic in Italy to advance multi-hazard disaster risk management.
Terzi, Stefano; De Angeli, Silvia; Miozzo, Davide; Massucchielli, Lorenzo Stefano; Szarzynski, Joerg; Carturan, Fabio; Boni, Giorgio.
  • Terzi S; Eurac Research, Center for Global Mountain Safeguard Research, Viale Druso 1, 39100 Bolzano, Italy.
  • De Angeli S; Eurac Research, Institute for Earth Observation, Viale Druso 1, 39100 Bolzano, Italy.
  • Miozzo D; United Nations University Institute for Environment and Human Security (UNU-EHS), Platz der Vereinten Nationen 1, 53113 Bonn, Germany.
  • Massucchielli LS; University of Genoa, Department of Civil, Chemical and Environmental Engineering, Via Montallegro 1, 16145 Genova, Italy.
  • Szarzynski J; CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy.
  • Carturan F; Italian Red Cross, Via Clerici 5, 2009 Bresso, Milano, Italy.
  • Boni G; Eurac Research, Center for Global Mountain Safeguard Research, Viale Druso 1, 39100 Bolzano, Italy.
Prog Disaster Sci ; 16: 100268, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2105697
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal: Prog Disaster Sci Year: 2022 Document Type: Article Affiliation country: J.pdisas.2022.100268

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal: Prog Disaster Sci Year: 2022 Document Type: Article Affiliation country: J.pdisas.2022.100268