RAPID: Spatial Resilience of Food Production, Supply Chains, and Security to COVID-19

RAPID：食品生产、供应链和 COVID-19 安全的空间弹性

• 批准号: 2032065
• 负责人: Tom Evans
• 金额: $ 19.99万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-15 至 2021-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2032065&HistoricalAwards=false
• 关键词: RAPID; Spatial; Resilience; Food; Production

The COVID-19 outbreak is affecting the national food system. Non-pharmaceutical interventions (e.g. stay-at-home measures) have disrupted food production, distribution through supply chains, and household food security. This project will collect ephemeral data on several components of the US food system that may not otherwise be properly archived during the pandemic. It will analyze the impacts of the disruptions on food production, food consumption, and supply chains to identify those locations most vulnerable to food security impacts. This project will also develop innovative analytical models and data integration approaches to investigate how the US food system is affected during a pandemic. Research outcomes, including county-level maps, model code, and spatial datasets, will be made freely available online for the research community. An online, interactive tool to explore how COVID-19 has disrupted the food supply chain will be produced to engage the public, media, and policy makers.COVID-19 is creating dramatic changes in the location and timing of food supply and demand through impacts on large institutional buyers, grocery stores and food pantries. These sudden shocks to supply and demand by location are already giving rise to localized price volatility in some areas. Households that have experienced a loss of income due to labor disruptions are particularly vulnerable to the impacts of these food price shocks. This research seeks to understand the geographical dimensions of food security, such as where and how COVID-19 is impacting the food system, with a focus on increasing food system resilience. Novel data will be gathered and methods developed to determine the impact of COVID-19 on US food production, distribution, and demand. The model and research approach developed in this project will be generalizable to evaluating other disruptions to national supply chains.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

COVID-19疫情正在影响国家食品系统。非药物干预措施（如居家措施）扰乱了粮食生产、供应链分配和家庭粮食安全。该项目将收集美国食品系统几个组成部分的短暂数据，这些数据在大流行期间可能无法正确存档。它将分析中断对粮食生产，粮食消费和供应链的影响，以确定最容易受到粮食安全影响的地区。该项目还将开发创新的分析模型和数据集成方法，以调查美国食品系统在大流行期间如何受到影响。研究成果，包括县级地图、模型代码和空间数据集，将在网上免费提供给研究界。将制作一个在线互动工具，探讨COVID-19如何扰乱食品供应链，以吸引公众、媒体和政策制定者。COVID-19通过对大型机构买家、杂货店和食品储藏室的影响，正在食品供需的地点和时间上产生巨大变化。这些对各地供求的突然冲击已经在某些地区造成了局部价格波动。由于劳动力中断而遭受收入损失的家庭特别容易受到这些粮食价格冲击的影响。这项研究旨在了解粮食安全的地理层面，例如COVID-19在哪里以及如何影响粮食系统，重点是提高粮食系统的弹性。将收集新的数据并开发方法，以确定COVID-19对美国食品生产，分销和需求的影响。该项目开发的模型和研究方法将推广到评估其他国家供应链中断。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估。