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Mobile crowdsensing approaches to address the COVID-19 pandemic in Spain

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Mobile crowdsensing approaches to address the COVID-19 pandemic in Spain

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Cecilia-Canales, JM.; Cano, J.; Hernández-Orallo, E.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P. (2020). Mobile crowdsensing approaches to address the COVID-19 pandemic in Spain. IET Smart Cities. 2(2):1-6. https://doi.org/10.1049/iet-smc.2020.0037

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/163587

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Title: Mobile crowdsensing approaches to address the COVID-19 pandemic in Spain
Author: Cecilia-Canales, José María Cano, Juan-Carlos Hernández-Orallo, Enrique Tavares De Araujo Cesariny Calafate, Carlos Miguel Manzoni, Pietro
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Mobile crowdsensing (MCS) is a technique where people with computing and sensing devices such as smartphones collectively share data that are of potential interest to the rest of society. MCS includes two different ...[+]
Copyrigths: Reconocimiento (by)
Source:
IET Smart Cities. (eissn: 2631-7680 )
DOI: 10.1049/iet-smc.2020.0037
Publisher:
Institution of Engineering and Technology
Publisher version: https://doi.org/10.1049/iet-smc.2020.0037
Project ID:
info:eu-repo/grantAgreement/f SéNeCa//20813%2FPI%2F18/
info:eu-repo/grantAgreement/AEI//RTC-2017-6389-5/ES/PLANIFICACIÓN Y GESTIÓN DE RECURSOS HÍDRICOS A PARTIR DE ANÁLISIS DE DATOS DE IoT (WATERoT)/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/
info:eu-repo/grantAgreement/AEI//RYC-2018-025580-I/
Thanks:
This work was partially supported by the Fundación Séneca del Centro de Coordinación de la Investigación de la Región de Murcia under Project 20813/PI/18, and by the Spanish Ministry of Science, Innovation and Universities ...[+]
Type: Artículo

References

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Instituto de Salud.Carlos.III:‘Situación de covid‐19 en españa’ [accessed 30‐April‐2020].https://covid19.isciii.es/

LiR.RiversC.TanQ.et al.: ‘The demand for inpatient and ICU beds for COVID‐19 in the US: lessons from Chinese cities’ medRxiv 2020 pp.1–12 doi:10.1101/2020.03.09.20033241 [+]
World Health Organization:‘Novel coronavirus (2019‐ncov): Situation report 91’ [accessed 30‐April‐2020]

Instituto de Salud.Carlos.III:‘Situación de covid‐19 en españa’ [accessed 30‐April‐2020].https://covid19.isciii.es/

LiR.RiversC.TanQ.et al.: ‘The demand for inpatient and ICU beds for COVID‐19 in the US: lessons from Chinese cities’ medRxiv 2020 pp.1–12 doi:10.1101/2020.03.09.20033241

World Health Organization:‘Critical preparedness readiness and response actions for COVID‐19: interim guidance 22 March 2020’

Kissler, S. M., Tedijanto, C., Goldstein, E., Grad, Y. H., & Lipsitch, M. (2020). Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science, 368(6493), 860-868. doi:10.1126/science.abb5793

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Guo, B., Wang, Z., Yu, Z., Wang, Y., Yen, N. Y., Huang, R., & Zhou, X. (2015). Mobile Crowd Sensing and Computing. ACM Computing Surveys, 48(1), 1-31. doi:10.1145/2794400

AdolphC.AmanoK.Bang JensenB.et al.: ‘Pandemic politics: timing state‐level social distancing responses to COVID‐19’ medRxiv 2020

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