| dc.contributor.author | Naz, A. | |
| dc.contributor.author | Hassan, M. | |
| dc.contributor.author | Siddique, A. | |
| dc.contributor.author | Fernández Martínez, Juan Luis | |
| dc.contributor.author | Kloczkowski, A. | |
| dc.date.accessioned | 2023-06-26T09:03:16Z | |
| dc.date.available | 2023-06-26T09:03:16Z | |
| dc.date.issued | 2023 | |
| dc.identifier.citation | Naz, A, Hassan, M., Siddique, A., Fernández Martínez, J. L., Kloczkowski, A. (2023). Application of big data analytics in the COVID-19 pandemic: selected problems. En D. Barh & V. Azevedo (eds). Omics approaches and technologies in COVID-19 (pp. 427-430). London : Academic Press | |
| dc.identifier.isbn | 9780323917940 | |
| dc.identifier.isbn | 9780323986212 | |
| dc.identifier.uri | http://hdl.handle.net/10651/68572 | |
| dc.format.extent | p. 427-430 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Omics Approaches and Technologies in Covid-19 | |
| dc.rights | © 2023 Elsevier Inc. | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151619450&doi=10.1016%2fB978-0-323-91794-0.00020-2&partnerID=40&md5=f3157583f3e7cf6dcfaf9e8675e97b29 | |
| dc.title | Application of big data analytics in the COVID-19 pandemic: selected problems | |
| dc.type | book part | spa |
| dc.identifier.doi | 10.1016/B978-0-323-91794-0.00020-2 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/B978-0-323-91794-0.00020-2 | |
