Terzi Stefano, De Angeli Silvia, Miozzo Davide, Massucchielli Lorenzo Stefano, Szarzynski Joerg, Carturan Fabio, Boni Giorgio
Eurac Research, Center for Global Mountain Safeguard Research, Viale Druso 1, 39100 Bolzano, Italy.
Eurac Research, Institute for Earth Observation, Viale Druso 1, 39100 Bolzano, Italy.
Prog Disaster Sci. 2022 Dec;16:100268. doi: 10.1016/j.pdisas.2022.100268. Epub 2022 Nov 13.
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.
新冠疫情对全球所有国家应急管理系统构成挑战,且与其他自然灾害相互交织。我们构建了一个“并行阶段”灾害风险管理(DRM)模型,以克服现有模型在应对复杂多灾种风险状况时的局限性。我们通过分析意大利红十字会关于包括新冠疫情在内的过去及当前紧急情况的数据,证实了这些局限性,并概述了推进多灾种灾害风险管理的三项指导原则:(i)利用缓发性灾害的低紧急强度开展备灾行动;(ii)增加内部资源并使其可用于国际援助;(iii)实施基于多灾种季节影响的预测,以促进前瞻性行动的规划。