Martin Nina M, Sundermeir Samantha M, Barnett Daniel J, van Dongen Ellen J I, Rosman Lori, Rosenblum Andrew J, Gittelsohn Joel
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Disaster Med Public Health Prep. 2021 Oct 11;17:e40. doi: 10.1017/dmp.2021.281.
Modern digital strategies, including Internet of Things, machine learning, and mobile applications, have revolutionized situational awareness during disaster management. Despite their importance, no review of digital strategies to support emergency food security efforts has been conducted. This scoping review fills that gap.
Keywords were defined within the concepts of food assistance, digital technology, and disasters. After the database searches, PRISMA guidelines were followed to perform a partnered, 2-round scoping literature review.
The search identified 3201 articles, and 26 articles met criteria and were included in the analysis. The data types used to describe the tools were text/opinion (42.3%), qualitative (23.1%), system architecture (19.2%), quantitative and qualitative (11.5 %), and quantitative (3.8%). The tools' main functions were Resource Allocation (41.7%), Data Collection and Management (33%), Interagency Communications (15.4 %), Beneficiary Communications (11.5%), and Fundraising (7.7%). The platforms used to achieve these goals were Mobile Application (36%), Internet of Things (20%), Website (20%), and Mobile Survey (8%); 92% covered the disaster response phase.
Digital tools for planning, situational awareness, client choice, and recovery are needed to support emergency food assistance, but there is a lack of these tools and research on their effectiveness across all disaster phases.
包括物联网、机器学习和移动应用在内的现代数字策略,已经彻底改变了灾害管理期间的态势感知。尽管它们很重要,但尚未对支持紧急粮食安全工作的数字策略进行综述。本范围综述填补了这一空白。
在粮食援助、数字技术和灾害的概念范围内定义关键词。在数据库检索之后,遵循PRISMA指南进行两轮合作的范围文献综述。
检索到3201篇文章,26篇文章符合标准并纳入分析。用于描述这些工具的数据类型为文本/观点(42.3%)、定性(23.1%)、系统架构(19.2%)、定量和定性(11.5%)以及定量(3.8%)。这些工具的主要功能是资源分配(41.7%)、数据收集与管理(33%)、机构间通信(15.4%)、受益对象通信(11.5%)和筹款(7.7%)。用于实现这些目标的平台是移动应用(36%)、物联网(20%)、网站(20%)和移动调查(8%);92%涵盖灾害应对阶段。
需要用于规划、态势感知、客户选择和恢复的数字工具来支持紧急粮食援助,但缺乏这些工具以及关于其在所有灾害阶段有效性的研究。