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A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties

Author(s):



ORCID
Medium: journal article
Language(s): English
Published in: Sustainable Cities and Society, , v. 83
Page(s): 103990
DOI: 10.1016/j.scs.2022.103990
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1016/j.scs.2022.103990.
  • About this
    data sheet
  • Reference-ID
    10680388
  • Published on:
    18/06/2022
  • Last updated on:
    18/06/2022
 
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