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

A mature and hybrid machine-learning model is verified by mature empirical analysis to measure county-level COVID-19 vulnerability and track the impact of the imposition of pandemic control policies in the U.S. A total of 30 county-level social, economic, and medical variables and a timeline of the...

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Detalles Bibliográficos
Autores principales: Moosazadeh, Mohammad, Ifaei, Pouya, Tayerani Charmchi, Amir Saman, Asadi, Somayeh, Yoo, ChangKyoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167466/
https://www.ncbi.nlm.nih.gov/pubmed/35692599
http://dx.doi.org/10.1016/j.scs.2022.103990

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167466/
https://www.ncbi.nlm.nih.gov/pubmed/35692599
http://dx.doi.org/10.1016/j.scs.2022.103990

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