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Miguel Guzmán-Merino

Biographic Data

ID10018682
NAMEMiguel Guzmán-Merino
GIVEN NAMESMiguel
FAMILY NAMEGuzmán-Merino
SIGNATUREGUZMÁN-MERINO M
AFFILIATIONSUniversidad Carlos III de Madrid
ORCID0000-0001-9933-5537
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Simulation of Covid-19 Propagation Scenarios in the Madrid Metropolitan Area

    Open Access•David E Singh, Maria-Cristina Marinescu et al.•ARTICLE•Frontiers in Public Health•2021

    This work presents simulation results for different mitigation and confinement scenarios for the propagation of COVID-19 in the metropolitan area of Madrid. These scenarios were implemented and tested using EpiGraph, an epidemic simulator which has been extended to simulate COVID-19 propagation. EpiGraph implements a social interaction model, which realistically captures a large number of characteristics of individuals and groups, as well as thei…

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  • Simulation of Covid-19 Propagation Scenarios in the Madrid Metropolitan Area

    Open Access•David E Singh, Maria-Cristina Marinescu et al.•ARTICLE•Frontiers in Public Health•2021

    This work presents simulation results for different mitigation and confinement scenarios for the propagation of COVID-19 in the metropolitan area of Madrid. These scenarios were implemented and tested using EpiGraph, an epidemic simulator which has been extended to simulate COVID-19 propagation. EpiGraph implements a social interaction model, which realistically captures a large number of characteristics of individuals and groups, as well as thei…

Artificial Intelligence (1 works) · Computer Science (1 works) · COVID-19 Digital Contact Tracing (1 works) · COVID-19 epidemiological studies (1 works) · Data science (1 works) · Econometrics (1 works) · Epigraph (1 works) · Geography (1 works) · Mathematical optimization (1 works) · Mathematics (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae