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

•Selecting county-level COVID-19 features by a new hybrid approach in the U.S.•Highlighting highly-correlated socio-economic variables with the mortality risk.•Greater population density, minorities and poverty rates increased the mortality risk.•Poor communities were more resistant to the impositio...

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Veröffentlicht in:Sustainable cities and society 2022-08, Vol.83, p.103990-103990, Article 103990
Hauptverfasser: Moosazadeh, Mohammad, Ifaei, Pouya, Tayerani Charmchi, Amir Saman, Asadi, Somayeh, Yoo, ChangKyoo
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Sprache:eng
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