Ruta Binkyte

Post Doc Researcher

Gender and sex bias in COVID-19 epidemiological data through the lens of causality


Journal article


Natalia Díaz Rodríguez, Ruta Binkyte, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Sami Zhioua, Raja Chatila
Information Processing & Management, 2023

Semantic Scholar DBLP DOI PubMedCentral PubMed
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APA   Click to copy
Rodríguez, N. D., Binkyte, R., Bakkali, W., Bookseller, S., Tubaro, P., Bacevicius, A., … Chatila, R. (2023). Gender and sex bias in COVID-19 epidemiological data through the lens of causality. Information Processing &Amp; Management.


Chicago/Turabian   Click to copy
Rodríguez, Natalia Díaz, Ruta Binkyte, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Sami Zhioua, and Raja Chatila. “Gender and Sex Bias in COVID-19 Epidemiological Data through the Lens of Causality.” Information Processing & Management (2023).


MLA   Click to copy
Rodríguez, Natalia Díaz, et al. “Gender and Sex Bias in COVID-19 Epidemiological Data through the Lens of Causality.” Information Processing &Amp; Management, 2023.


BibTeX   Click to copy

@article{natalia2023a,
  title = {Gender and sex bias in COVID-19 epidemiological data through the lens of causality},
  year = {2023},
  journal = {Information Processing & Management},
  author = {Rodríguez, Natalia Díaz and Binkyte, Ruta and Bakkali, Wafae and Bookseller, Sannidhi and Tubaro, Paola and Bacevicius, Andrius and Zhioua, Sami and Chatila, Raja}
}