Predicting COVID-19 hospitalisation and common disease risk from comorbid diagnoses in 13 million individuals.

Liu H, Mizani MA, Zhao Y, Wood A, Inouye M, Price AL, Jiang X

DOI: 10.64898/2026.08.27.26361302
Published: 2026 Sep 3
Container: medRxiv : the preprint server for health sciences
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.64898/2026.08.27.26361302,
  title = {Predicting COVID-19 hospitalisation and common disease risk from comorbid diagnoses in 13 million individuals.},
  author = {Liu H and Mizani MA and Zhao Y and Wood A and Inouye M and Price AL and Jiang X},
  year = {2026},
  journal = {medRxiv : the preprint server for health sciences},
  doi = {10.64898/2026.08.27.26361302},
  url = {https://doi.org/10.64898/2026.08.27.26361302}
}

RIS

TY  - JOUR
TI  - Predicting COVID-19 hospitalisation and common disease risk from comorbid diagnoses in 13 million individuals.
AU  - Liu H
AU  - Mizani MA
AU  - Zhao Y
AU  - Wood A
AU  - Inouye M
AU  - Price AL
AU  - Jiang X
PY  - 2026
JO  - medRxiv : the preprint server for health sciences
DO  - 10.64898/2026.08.27.26361302
UR  - https://doi.org/10.64898/2026.08.27.26361302
ER  -

APA

H, L., MA, M., Y, Z., A, W., M, I., AL, P., & X, J. (2026). Predicting COVID-19 hospitalisation and common disease risk from comorbid diagnoses in 13 million individuals.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.08.27.26361302

Source records

pubmed · retrieved 2026-11-10T15:52:10.329Z