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Blas Echebarria

Biographic Data

ID9994918
NAMEBlas Echebarria
GIVEN NAMESBlas
FAMILY NAMEEchebarria
SIGNATUREECHEBARRIA B
AFFILIATIONSUniversitat Politècnica de Catalunya
ORCID0000-0003-0503-1781
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • A mixture of mobility and meteorological data provides a high correlation with Covid-19 growth in an infection-naive population

    Open Access•David Conesa, Víctor López de Rioja et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction: We use Spanish data from August 2020 to March 2021 as a natural experiment to analyze how a standardized measure of COVID-19 growth correlates with asymmetric meteorological and mobility situations in 48 Spanish provinces. The period of time is selected prior to vaccination so that the level of susceptibility was high, and during geographically asymmetric implementation of non-pharmacological interventions. Methods: We develop relia…

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  • A mixture of mobility and meteorological data provides a high correlation with Covid-19 growth in an infection-naive population

    Open Access•David Conesa, Víctor López de Rioja et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction: We use Spanish data from August 2020 to March 2021 as a natural experiment to analyze how a standardized measure of COVID-19 growth correlates with asymmetric meteorological and mobility situations in 48 Spanish provinces. The period of time is selected prior to vaccination so that the level of susceptibility was high, and during geographically asymmetric implementation of non-pharmacological interventions. Methods: We develop relia…

2019-20 coronavirus outbreak (1 work) · Correlation (1 work) · COVID-19 Clinical Research Studies (1 work) · COVID-19 epidemiological studies (1 work) · Data-Driven Disease Surveillance (1 work) · Disease (1 work) · Environmental health (1 work) · Mathematics (1 work) · Medicine (1 work) · Outbreak (1 work)

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