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Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain
dc.contributor.author | Pérez Arnal, Raquel Leandra |
dc.contributor.author | Conesa Ortega, David |
dc.contributor.author | Álvarez Napagao, Sergio |
dc.contributor.author | Suzumura, Toyotaro |
dc.contributor.author | Català Sabaté, Martí |
dc.contributor.author | Álvarez Lacalle, Enrique |
dc.contributor.author | Garcia Gasulla, Dario |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Física Computacional i Aplicada |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Física |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2021-03-29T10:41:42Z |
dc.date.available | 2021-03-29T10:41:42Z |
dc.date.issued | 2021-02-13 |
dc.identifier.citation | Pérez, R. [et al.]. Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain. "International journal of geo-information", 13 Febrer 2021, vol. 10, núm. 2, article 73, p. 1-18. |
dc.identifier.issn | 2220-9964 |
dc.identifier.uri | http://hdl.handle.net/2117/342696 |
dc.description.abstract | The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of this change. In order to study mobility under COVID-19, to evaluate the efficiency of mobility restriction policies, and to facilitate a better response to future crisis, we need to understand all possible mobility data sources at our disposal. Our work studies private mobility sources, gathered from mobile-phones and released by large technological companies. These data are of special interest because, unlike most public sources, it is focused on individuals rather than on transportation means. Furthermore, the sample of society they cover is large and representative. On the other hand, these data are not directly accessible for anonymity reasons. Thus, properly interpreting its patterns demands caution. Aware of that, we explore the behavior and inter-relations of private sources of mobility data in the context of Spain. This country represents a good experimental setting due to both its large and fast pandemic peak and its implementation of a sustained, generalized lockdown. Our work illustrates how a direct and naive comparison between sources can be misleading, as certain days (e.g., Sundays) exhibit a directly adverse behavior. After understanding their particularities, we find them to be partially correlated and, what is more important, complementary under a proper interpretation. Finally, we confirm that mobile-data can be used to evaluate the efficiency of implemented policies, detect changes in mobility trends, and provide insights into what new normality means in Spain. |
dc.description.sponsorship | Part of this research has received funding from the European Union Horizon 2020 Programme under the SoBigData++ Project, grant agreement num. 871,042. Martí Català received funding from La Caixa Foundation (ID 100010434), under agreement LCF/PR/GN17/50300003; Martí Català received funding from Ministerio de Ciencia, Innovación y Universidades and FEDER, with the project PGC2018-095456-B-I00.E. A-L EAL thanks support from the Spanish Ministry of Science Innovation and Universities, (SAF2017-88019-C3-3R). |
dc.format.extent | 18 p. |
dc.language.iso | eng |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
dc.rights | Attribution 4.0 International |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica |
dc.subject.lcsh | COVID-19 (Disease) |
dc.subject.lcsh | Social mobility |
dc.subject.lcsh | Smartphones |
dc.subject.other | Mobility |
dc.subject.other | Global positioning |
dc.subject.other | Mobile phones |
dc.subject.other | Crisis management |
dc.subject.other | Epidemiology |
dc.subject.other | Spain |
dc.title | Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain |
dc.type | Article |
dc.subject.lemac | COVID-19 (Malaltia) |
dc.subject.lemac | Mobilitat social |
dc.subject.lemac | Telèfons intel·ligents |
dc.contributor.group | Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
dc.contributor.group | Universitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos |
dc.identifier.doi | 10.3390/ijgi10020073 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.mdpi.com/2220-9964/10/2/73 |
dc.rights.access | Open Access |
local.identifier.drac | 30863414 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-095456-B-I00/ES/COMPUTATIONAL MODELLING OF BIOPHYSICAL PROCESSES AT MULTIPLE SCALES/ |
dc.relation.projectid | info:eu-repo/grantAgreement/SPAIN/LCF/PR/GN17/50300003 |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SAF2017-88019-C3-3-R/ES/ANALISIS DE DATOS MULTIESCALA EN CARDIOLOGIA TRASLACIONAL: DE LOS MECANISMOS BASICOS A LA CONTRACCION CARDIACA/ |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/871042/EU/SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics/SoBigData-PlusPlus |
local.citation.author | Pérez, R.; Conesa, D.; Alvarez-Napagao, S.; Suzumura, T.; Català, M.; Alvarez-Lacalle, E.; Garcia-Gasulla, D. |
local.citation.publicationName | International journal of geo-information |
local.citation.volume | 10 |
local.citation.number | 2, article 73 |
local.citation.startingPage | 1 |
local.citation.endingPage | 18 |
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