论文标题
根据COVID-19
Mapping county-level mobility pattern changes in the United States in response to COVID-19
论文作者
论文摘要
为了遏制冠状病毒病（Covid-19）大流行，这是对Covid-19疫情响应的非药物流行病控制措施之一，是通过（物理）社会疏远来降低人群中SARS-COV-2的传播率。一个基于互动网络的映射平台，可在国家科学基金会（NSF）的支持下开发有关不同县和州对社会疏远指南的人们如何反应的及时定量信息。它整合了地理信息系统（GIS）和每日更新的人类移动统计模式，这些模式来自美国县级县级的大规模匿名和汇总智能手机位置的大数据，旨在提高公众的风险认识，支持政府决策，并帮助增强对Covid-199爆发的社区反应。
To contain the Coronavirus disease (COVID-19) pandemic, one of the non-pharmacological epidemic control measures in response to the COVID-19 outbreak is reducing the transmission rate of SARS-COV-2 in the population through (physical) social distancing. An interactive web-based mapping platform that provides timely quantitative information on how people in different counties and states reacted to the social distancing guidelines was developed with the support of the National Science Foundation (NSF). It integrates geographic information systems (GIS) and daily updated human mobility statistical patterns derived from large-scale anonymized and aggregated smartphone location big data at the county-level in the United States, and aims to increase risk awareness of the public, support governmental decision-making, and help enhance community responses to the COVID-19 outbreak.
