COVID-19 Risk Mapping with Considering Socio-Economic Criteria Using Machine Learning Algorithms

The reduction of population concentration in some urban land uses is one way to prevent and reduce the spread of COVID-19 disease. Therefore, the objective of this study is to prepare the risk mapping of COVID-19 in Tehran, Iran, using machine learning algorithms according to socio-economic criteria...

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Detalles Bibliográficos
Autores principales: Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Farhangi, Farbod, Choi, Soo-Mi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471719/
https://www.ncbi.nlm.nih.gov/pubmed/34574582
http://dx.doi.org/10.3390/ijerph18189657

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471719/
https://www.ncbi.nlm.nih.gov/pubmed/34574582
http://dx.doi.org/10.3390/ijerph18189657

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