Developing a general research framework for long COVID using causal modelling
Our findings lay the foundations for a better understanding of the progression of long COVID syndromes. Illustrative simulations support the use of causal models to help address both diagnostic and prognostic questions in long COVID research.
Authors
- Marie J. Estcourt (ORCID: https://orcid.org/0000-0001-8403-6075)
- Chansavath Phetsouphanh (ORCID: https://orcid.org/0000-0001-6617-5995)
- Steven Mascaro (ORCID: https://orcid.org/0000-0002-8527-3643)
- Gladymar Pérez Chacón (ORCID: https://orcid.org/0000-0001-6629-1603)
- Tom Snelling
- Ann E. Nicholson
- Yue Wu
Institutions
- The University of Sydney (AU)
- The Kids Research Institute Australia (AU)
- UNSW Sydney (AU)
- Torrens University Australia (AU)
- Monash University (AU)
Publication Details
- Journal
- Communications Medicine
- Published
- 2026-03-13
- DOI
- https://doi.org/10.1038/s43856-026-01488-8
- Primary Topic
- Long-Term Effects of COVID-19
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of New South Wales