Big data for human security: The case of COVID-19

Pedro Cárdenas, Ioannis Ivrissimtzis, Boguslaw Obara, Ibad Kureshi, Georgios Theodoropoulos

Open source

DOI: 10.1016/j.jocs.2022.101574
Published: 2022-04
Container: Journal of Computational Science
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jocs.2022.101574,
  title = {Big data for human security: The case of COVID-19},
  author = {Pedro Cárdenas and Ioannis Ivrissimtzis and Boguslaw Obara and Ibad Kureshi and Georgios Theodoropoulos},
  year = {2022},
  journal = {Journal of Computational Science},
  doi = {10.1016/j.jocs.2022.101574},
  url = {https://doi.org/10.1016/j.jocs.2022.101574}
}

RIS

TY  - JOUR
TI  - Big data for human security: The case of COVID-19
AU  - Pedro Cárdenas
AU  - Ioannis Ivrissimtzis
AU  - Boguslaw Obara
AU  - Ibad Kureshi
AU  - Georgios Theodoropoulos
PY  - 2022
JO  - Journal of Computational Science
DO  - 10.1016/j.jocs.2022.101574
UR  - https://doi.org/10.1016/j.jocs.2022.101574
ER  -

APA

Cárdenas, P., Ivrissimtzis, I., Obara, B., Kureshi, I., & Theodoropoulos, G. (2022). Big data for human security: The case of COVID-19. Journal of Computational Science. https://doi.org/10.1016/j.jocs.2022.101574

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crossref · retrieved 2026-09-25T09:40:28.807Z