Barcelona Supercomputing Center (BSC), Barcelona, Spain.
Ministerio de Transportes, Movilidad y Agenda Urbana, Madrid, 28046, Spain.
Sci Data. 2021 Nov 30;8(1):310. doi: 10.1038/s41597-021-01093-5.
COVID-19 is an infectious disease caused by the SARS-CoV-2 virus, which has spread all over the world leading to a global pandemic. The fast progression of COVID-19 has been mainly related to the high contagion rate of the virus and the worldwide mobility of humans. In the absence of pharmacological therapies, governments from different countries have introduced several non-pharmaceutical interventions to reduce human mobility and social contact. Several studies based on Anonymized Mobile Phone Data have been published analysing the relationship between human mobility and the spread of coronavirus. However, to our knowledge, none of these data-sets integrates cross-referenced geo-localised data on human mobility and COVID-19 cases into one all-inclusive open resource. Herein we present COVID-19 Flow-Maps, a cross-referenced Geographic Information System that integrates regularly updated time-series accounting for population mobility and daily reports of COVID-19 cases in Spain at different scales of time spatial resolution. This integrated and up-to-date data-set can be used to analyse the human dynamics to guide and support the design of more effective non-pharmaceutical interventions.
新型冠状病毒肺炎（COVID-19）是由 SARS-CoV-2 病毒引起的传染病，该病毒已在全球范围内传播，导致全球大流行。COVID-19 的快速发展主要与病毒的高传染性和人类在全球范围内的流动性有关。在没有药物治疗的情况下，不同国家的政府采取了多种非药物干预措施，以减少人员流动和社会接触。已经发表了一些基于匿名手机数据的研究，分析了人类流动性与冠状病毒传播之间的关系。然而，据我们所知，这些数据集都没有将交叉参照的地理位置数据与人类流动性和 COVID-19 病例整合到一个全面的开放资源中。在此，我们介绍 COVID-19 Flow-Maps，这是一个交叉参照地理信息系统，它整合了定期更新的时间序列，记录了西班牙不同时空分辨率的人口流动性和 COVID-19 病例的日常报告。这个综合且最新的数据可以用于分析人类动态，以指导和支持更有效的非药物干预措施的设计。
