COVID-19期间的人道主义和发展研究参与

Spyros Schismenos, G. Stevens, Nichole Georgeou, D. Emmanouloudis, Surendra Shrestha, B. Thapa
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引用次数: 1

摘要

背景:洪水和风暴是最常见的自然灾害。偏远河岸地区的社区在此类灾害中最为脆弱,尤其是当当地人口缺乏可靠的能源和灾害应对预警系统时。我们的研究将调查这些社区的能源和洪水抵御能力问题,并使用远程方法在疫情期间和疫情后实现研究的连续性。方法/设计:将使用两轮德尔菲过程采访来自尼泊尔和希腊的16名参与者,以了解他们在能源和洪水恢复问题上的优先事项和首选解决方案。在第一轮中,我们的目标是了解我们的重点社区在这些领域的当前能力和脆弱性。在第二轮中,我们寻求对潜在选择的反馈,这些选择要么是市场可用的/基于证据的解决方案,要么是共同开发的概念系统。远程部署的半结构化访谈是两轮的主要方法。第二轮结构化比较审查还采用了基于选择的联合分析和SCORE分析。讨论:通过从专业人士和非专家那里收集信息,我们旨在了解哪些选项被认为是可靠、现实和适合洪水易发社区的。远程研究设计使研究人员和合作伙伴组织能够连续性和社区获得以发展为重点的研究及其产出,并采取灵活、成本效益高的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Humanitarian and Developmental Research Engagement during COVID-19
Background: Floods and storms are the most common natural hazards. Communities in remote, riparian areas are the most vulnerable in such disasters, particularly when local populations lack reliable energy and early warning systems for hazard response. Our study will investigate energy and flood resilience issues in such communities and use remote methods to enable research continuity in intra and post-pandemic contexts. Methods/Design: A two-round Delphi process will be used to interview 16 participants from Nepal and Greece to understand their priorities and preferred solutions for energy and flood resilience issues. In Round One we aim to understand the current capabilities and vulnerabilities of our focus communities in these areas. In Round Two, we seek feedback on potential options that are either market-available/evidence-informed solutions or co-developed conceptual systems. Remotely deployed semi-structured interviews are the principal method for both rounds. The Round Two structured comparative review also employs choice-based conjoint analysis and SCORE analysis. Discussion: By collecting information from both professionals and non-experts, we aim to understand what options are perceived as reliable, realistic and appropriate for flood-prone communities. The remote research design enables continuity and community access to development-focused research and its outputs, and a flexible, cost-effective approach for researchers and partner organizations.
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