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

Mohammad Moosazadeh, Pouya Ifaei, Amir Saman Tayerani Charmchi, Somayeh Asadi, Chang Kyoo Yoo

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Fingerprint

Dive into the research topics of 'A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties'. Together they form a unique fingerprint.

Computer Science

Economics, Econometrics and Finance

Social Sciences

Chemical Engineering