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从多灾害地球科学视角看新冠疫情:并发和级联危机的可能性

A multi-hazards earth science perspective on the COVID-19 pandemic: the potential for concurrent and cascading crises.

作者信息

Quigley Mark C, Attanayake Januka, King Andrew, Prideaux Fabian

机构信息

School of Earth Sciences, University of Melbourne, Parkville, VIC 3010 Australia.

School of Earth and Environment, University of Canterbury, Christchurch, 8004 New Zealand.

出版信息

Environ Syst Decis. 2020;40(2):199-215. doi: 10.1007/s10669-020-09772-1. Epub 2020 May 16.

Abstract

Meteorological and geophysical hazards will concur and interact with coronavirus disease (COVID-19) impacts in many regions on Earth. These interactions will challenge the resilience of societies and systems. A comparison of plausible COVID-19 epidemic trajectories with multi-hazard time-series curves enables delineation of multi-hazard scenarios for selected countries (United States, China, Australia, Bangladesh) and regions (Texas). In multi-hazard crises, governments and other responding agents may be required to make complex, highly compromised, hierarchical decisions aimed to balance COVID-19 risks and protocols with disaster response and recovery operations. Contemporary socioeconomic changes (e.g. reducing risk mitigation measures, lowering restrictions on human activity to stimulate economic recovery) may alter COVID-19 epidemiological dynamics and increase future risks relating to natural hazards and COVID-19 interactions. For example, the aggregation of evacuees into communal environments and increased demand on medical, economic, and infrastructural capacity associated with natural hazard impacts may increase COVID-19 exposure risks and vulnerabilities. COVID-19 epidemiologic conditions at the time of a natural hazard event might also influence the characteristics of emergency and humanitarian responses (e.g. evacuation and sheltering procedures, resource availability, implementation modalities, and assistance types). A simple epidemic phenomenological model with a concurrent disaster event predicts a greater infection rate following events during the pre-infection rate peak period compared with post-peak events, highlighting the need for enacting COVID-19 counter measures in advance of seasonal increases in natural hazards. Inclusion of natural hazard inputs into COVID-19 epidemiological models could enhance the evidence base for informing contemporary policy across diverse multi-hazard scenarios, defining and addressing gaps in disaster preparedness strategies and resourcing, and implementing a future-planning systems approach into contemporary COVID-19 mitigation strategies. Our recommendations may assist governments and their advisors to develop risk reduction strategies for natural and cascading hazards during the COVID-19 pandemic.

摘要

气象和地球物理灾害将在地球上许多地区与冠状病毒病(COVID-19)的影响同时出现并相互作用。这些相互作用将挑战社会和系统的恢复力。将合理的COVID-19疫情轨迹与多灾种时间序列曲线进行比较,能够描绘选定国家(美国、中国、澳大利亚、孟加拉国)和地区(得克萨斯州)的多灾种情景。在多灾种危机中,政府和其他应对机构可能需要做出复杂、高度折中的分层决策,旨在平衡COVID-19风险和防控措施与灾害应对及恢复行动。当代社会经济变化(例如减少风险缓解措施、放松对人类活动的限制以刺激经济复苏)可能改变COVID-19的流行病学动态,并增加与自然灾害和COVID-19相互作用相关的未来风险。例如,疏散人员聚集在公共环境中,以及自然灾害影响带来的对医疗、经济和基础设施能力需求的增加,可能会增加COVID-19暴露风险和脆弱性。自然灾害事件发生时的COVID-19流行病学状况也可能影响应急和人道主义应对的特点(例如疏散和避难程序、资源可用性、实施方式和援助类型)。一个包含并发灾害事件的简单疫情现象学模型预测,与感染率峰值过后的事件相比,在感染率峰值前期发生事件后感染率会更高,这凸显了在自然灾害季节性增加之前制定COVID-19应对措施的必要性。将自然灾害输入纳入COVID-19流行病学模型,可以加强证据基础,为不同多灾种情景下的当代政策提供信息,界定和解决灾害备灾战略及资源配置方面的差距,并将未来规划系统方法纳入当代COVID-19缓解战略。我们的建议可能有助于政府及其顾问制定COVID-19大流行期间应对自然和级联灾害的风险降低战略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b00a/7229439/8e8db4d261a8/10669_2020_9772_Fig1_HTML.jpg

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