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...
Gespeichert in:
Veröffentlicht in: | Sustainable cities and society 2022-08, Vol.83, p.103990-103990, Article 103990 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Schreiben Sie den ersten Kommentar!