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

Authors :
Ponce-de-Leon, Miguel
del Valle, Javier
Fernandez, José María
Bernardo, Marc
Cirillo, Davide
Sanchez-Valle, Jon
Smith, Matthew
Capella-Gutierrez, Salvador
Gullón, Tania
Valencia, Alfonso
Source :
Scientific Data; 11/30/2021, Vol. 8 Issue 1, p1-16, 16p
Publication Year :
2021

Abstract

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. Measurement(s) COVID-19 cases • mobility • population Technology Type(s) Real Time PCR • mobile phone Sample Characteristic - Organism Homo sapiens • Severe acute respiratory syndrome-related coronavirus Sample Characteristic - Location Kingdom of Spain Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15198123 [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
8
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
153871987
Full Text :
https://doi.org/10.1038/s41597-021-01093-5