COVID-19 Flow-Maps an open geographic information system on COVID-19 and human mobility for Spain

Author:

Ponce-de-Leon MiguelORCID,del Valle JavierORCID,Fernandez José MaríaORCID,Bernardo Marc,Cirillo Davide,Sanchez-Valle JonORCID,Smith MatthewORCID,Capella-Gutierrez SalvadorORCID,Gullón Tania,Valencia AlfonsoORCID

Abstract

AbstractCOVID-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.

Funder

Generalitat de Catalunya

Ministry of Economy and Competitiveness | Instituto de Salud Carlos III

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

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