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COVID-19 Flow-Maps: An open geographic information system on COVID-19 and human mobility for Spain
Miguel Ponce de Leon; Javier del Valle; Jose Maria Fernandez; Marc Bernardo; Davide Cirillo; Jon Sanchez-Valle; Matthew Smith; Salvador Capella-Gutierrez; Tania Gullon; Alfonso Valencia.
Affiliation
  • Miguel Ponce de Leon; Barcelona Supercomputing Center
  • Javier del Valle; Barcelona Supercomputing Center
  • Jose Maria Fernandez; Barcelona Supercomputing Center
  • Marc Bernardo; Barcelona Supercomputing Center
  • Davide Cirillo; Barcelona Supercomputing Center
  • Jon Sanchez-Valle; Barcelona Supercomputing Center
  • Matthew Smith; Barcelona Supercomputing Center
  • Salvador Capella-Gutierrez; Barcelona Supercomputing Center
  • Tania Gullon; Ministerio de Transportes, Movilidad y Agenda Urbana
  • Alfonso Valencia; Barcelona Supercomputing Center
Preprint in English | medRxiv | ID: ppmedrxiv-21259395
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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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 Anonymised 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.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Rct Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Rct Language: English Year: 2021 Document type: Preprint
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