Causal discovery and inference in COVID-19: A multiscale longitudinal analysis using mixtures of DAGs.

Abdollahi K, Rezaei Ghahroodi Z, Mansourian M

DOI: 10.1371/journal.pone.0355553
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0355553,
  title = {Causal discovery and inference in COVID-19: A multiscale longitudinal analysis using mixtures of DAGs.},
  author = {Abdollahi K and Rezaei Ghahroodi Z and Mansourian M},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0355553},
  url = {https://doi.org/10.1371/journal.pone.0355553}
}

RIS

TY  - JOUR
TI  - Causal discovery and inference in COVID-19: A multiscale longitudinal analysis using mixtures of DAGs.
AU  - Abdollahi K
AU  - Rezaei Ghahroodi Z
AU  - Mansourian M
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0355553
UR  - https://doi.org/10.1371/journal.pone.0355553
ER  -

APA

K, A., Z, R. G., & M, M. (2026). Causal discovery and inference in COVID-19: A multiscale longitudinal analysis using mixtures of DAGs.. PloS one. https://doi.org/10.1371/journal.pone.0355553

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pubmed · retrieved 2026-11-10T09:28:15.853Z