Gender and sex bias in COVID-19 epidemiological data through the lens of causality.
Natalia Díaz Rodríguez|Ruta Binkyte|Wafae Bakkali|Sannidhi Bookseller|Paola Tubaro|Andrius Bacevicius|Sami Zhioua|Raja Chatila
| Anthology ID: | DBLP:journals/ipm/RodriguezBBBTBZC23 |
|---|---|
| Year: | 2023 |
| Venue: | Information Processing and Management |
| Pages: | 103276 |
| URL: | https://doi.org/10.1016/J.IPM.2023.103276 |
| DOI: | https://doi.org/10.1016/J.IPM.2023.103276 |
| DBLP: | journals/ipm/RodriguezBBBTBZC23 |
| BibTeX: |
@article{rodriguez-2023-gender,
author = {Natalia D\'{i}az Rodr\'{i}guez and
Ruta Binkyte and
Wafae Bakkali and
Sannidhi Bookseller and
Paola Tubaro and
Andrius Bacevicius and
Sami Zhioua and
Raja Chatila},
title = {{Gender and sex bias in COVID-19 epidemiological data through the lens of causality}},
journal = {Information Processing and Management},
volume = {60},
number = {3},
pages = {103276},
year = {2023},
url = {https://doi.org/10.1016/J.IPM.2023.103276},
doi = {https://doi.org/10.1016/J.IPM.2023.103276}
}