RAPID: Mapping Integral Human Behavior Changes and Resiliency in Response to COVID-19

RAPID：绘制应对 COVID-19 的整体人类行为变化和复原力

• 批准号: 2033008
• 负责人: Jonathan Maupin
• 金额: $ 1万
• 依托单位: Arizona State University
• 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: 2020-06-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2033008&HistoricalAwards=false
• 关键词: RAPID; Mapping; Integral; Human; Behavior

During the COVID-19 pandemic, encouraged human behaviors such as social distancing and wearing of masks have become key methods to control the spread of the disease. While individuals may be presented with suggested behavioral changes and prompts daily, how individuals perceive these recommendations within their local, national, and global context can influence how they assess disease risk and whether they respond to recommendations in their daily lives. By pairing variability in individual and community disease perception with news data, this research aims to model efficacy and success of different human behaviors to halt the spread of disease. This project uses social network analysis to understand what networks help or hinder behavioral changes during a pandemic, with the aim of identifying adaptations that impact stress resistance and resiliency. The project provides training for graduate and undergraduate students in methods of rigorous, scientific data collection and analysis. The research will be conducted in three main phases to address two issues: (1) how human behavioral changes are affecting the spread of COVID-19, and (2) what integral behavioral changes appear to have the greatest influence on resiliency to a pandemic disaster. In the first phase, researchers in a major metropolitan area will conduct an observation-based analysis using picture and field note evidence at open essential businesses. This phase will provide a basis for local and national trends. In the second phase, researchers will recruit from a range of more remote locations for the purposes of understanding larger social networks. Participants will fill out a risk-perception survey, schedule an interview with researchers, and, if interested, will participate in forwarding their own photographic evidence and field notes following research guidelines. In the third phase, a systematic news media analysis will be conducted from November 2019 through the continuation of the project. Such a review will focus on a pool of accessible news sources that will provide a way of tracking human behavioral changes and recommendations from the beginning of the pandemic, onwards. Using frameworks from disaster, anthropology, identity, and social network research, this study will provide information that may be actively utilized in epidemiological efforts to address the spread of COVID-19. Additionally, this research project aims to develop a functioning dynamic model of identified effective human behaviors to be useful in planning pandemic responses currently and in the future.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.

在COVID-19大流行期间，鼓励人类行为，如社交距离和戴口罩已成为控制疾病传播的关键方法。虽然个人可能每天都会收到建议的行为变化和提示，但个人在当地，国家和全球背景下如何看待这些建议可能会影响他们如何评估疾病风险以及他们是否在日常生活中对建议做出反应。通过将个人和社区疾病感知的变化与新闻数据配对，这项研究旨在模拟不同人类行为的有效性和成功性，以阻止疾病的传播。该项目使用社会网络分析来了解在大流行期间哪些网络有助于或阻碍行为变化，目的是确定影响抗压能力和弹性的适应性。该项目为研究生和本科生提供严格、科学的数据收集和分析方法方面的培训。该研究将分三个主要阶段进行，以解决两个问题：（1）人类行为变化如何影响COVID-19的传播，以及（2）哪些整体行为变化似乎对应对大流行灾难的弹性影响最大。在第一阶段，研究人员将在一个主要的大都市地区进行基于观察的分析，使用图片和现场笔记证据在开放的基本业务。这一阶段将为地方和国家趋势提供基础。在第二阶段，研究人员将从一系列更偏远的地方招募人员，以了解更大的社交网络。参与者将填写一份风险认知调查，安排与研究人员的访谈，如果有兴趣，将参与转发自己的照片证据和研究指南后的现场笔记。在第三阶段，将从2019年11月开始进行系统的新闻媒体分析，直到项目的继续。这种审查将侧重于一系列可访问的新闻来源，这些新闻来源将提供一种跟踪人类行为变化的方法，并提出从大流行开始以来的建议。利用灾害、人类学、身份和社会网络研究的框架，这项研究将提供可能在流行病学工作中积极利用的信息，以应对COVID-19的传播。此外，该研究项目旨在开发一个有效的人类行为的功能动态模型，用于规划当前和未来的流行病应对措施。该奖项反映了NSF的法定使命，并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，被认为值得支持。