Leveraging Data Science to Combat COVID-19: A Comprehensive Review.

Latif S, Usman M, Manzoor S, Iqbal W, Qadir J, Tyson G, Castro I, Razi A, Boulos MNK, Weller A, Crowcroft J

Open source

DOI
10.1109/tai.2020.3020521
Published
2020 Aug
Container
IEEE transactions on artificial intelligence
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/tai.2020.3020521,
  title = {Leveraging Data Science to Combat COVID-19: A Comprehensive Review.},
  author = {Latif S and Usman M and Manzoor S and Iqbal W and Qadir J and Tyson G and Castro I and Razi A and Boulos MNK and Weller A and Crowcroft J},
  year = {2020},
  journal = {IEEE transactions on artificial intelligence},
  doi = {10.1109/tai.2020.3020521},
  url = {https://doi.org/10.1109/tai.2020.3020521}
}

RIS

TY  - JOUR
TI  - Leveraging Data Science to Combat COVID-19: A Comprehensive Review.
AU  - Latif S
AU  - Usman M
AU  - Manzoor S
AU  - Iqbal W
AU  - Qadir J
AU  - Tyson G
AU  - Castro I
AU  - Razi A
AU  - Boulos MNK
AU  - Weller A
AU  - Crowcroft J
PY  - 2020
JO  - IEEE transactions on artificial intelligence
DO  - 10.1109/tai.2020.3020521
UR  - https://doi.org/10.1109/tai.2020.3020521
ER  - 

APA

S, L., M, U., S, M., W, I., J, Q., G, T., I, C., A, R., MNK, B., A, W., & J, C. (2020). Leveraging Data Science to Combat COVID-19: A Comprehensive Review.. IEEE transactions on artificial intelligence. https://doi.org/10.1109/tai.2020.3020521

Source records