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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
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  • 2023-02-02

Mohammad Moosazadeh, Pouya Ifaei, Amir Saman Tayerani Charmchi , Somayeh Asadi,  and ChangKyoo Yoo*, A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties, Sustainable Cities and Society(ISSN: 2210-6707, SCI, Top 10% journal –Construction and Building), Elsevier, 83(8), pp.103990 (2022.8)  (NRF중견2021R1A2C2007838  & Graduate School specialized in Climate Change) 

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