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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...
Autores principales: | Razavi-Termeh, Seyed Vahid, Sadeghi-Niaraki, Abolghasem, Farhangi, Farbod, Choi, Soo-Mi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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