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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8669| Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran | |
| Mehdi Azarafza Mohammad Azarafza HALUK AKGUN, Ph.D., P.E., Professor of Geological Engineering | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2020.05.22.20109942 | |
| https://www.medrxiv.org/content/10.1101/2020.05.22.20109942v2 | |
| The COVID-19 is outbreak from China and infected more than 131,652 people and caused 7,300 deaths in Iran. Unfortunately, the infection numbers and deaths are still increasing rapidly which has put the world on the catastrophic abyss edge. Application of data mining to perform pattern recognition of infection is mainly used for peparing the spread mapping which considred in this work for spatiotemporal distribution assessment and spread pattern analysis of corona-virus (COVID-19) infection in Iran. | |
| bioRxiv | |
| 28-05-2020 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran.pdf | 634.98 kB | Adobe PDF | Visualizar/Abrir |