A decision-theoretic framework for uncertainty quantification in epidemiological modelling

Nicholas Steyn, Cathal Mills, Vik Shirvaikar, Freddie Bickford Smith, Christl A Donnelly, Kris V Parag

Open source

DOI: 10.1093/aje/kwag154
Published: 2026-07-08
Container: American Journal of Epidemiology
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/aje/kwag154,
  title = {A decision-theoretic framework for uncertainty quantification in epidemiological modelling},
  author = {Nicholas Steyn and Cathal Mills and Vik Shirvaikar and Freddie Bickford Smith and Christl A Donnelly and Kris V Parag},
  year = {2026},
  journal = {American Journal of Epidemiology},
  doi = {10.1093/aje/kwag154},
  url = {https://doi.org/10.1093/aje/kwag154}
}

RIS

TY  - JOUR
TI  - A decision-theoretic framework for uncertainty quantification in epidemiological modelling
AU  - Nicholas Steyn
AU  - Cathal Mills
AU  - Vik Shirvaikar
AU  - Freddie Bickford Smith
AU  - Christl A Donnelly
AU  - Kris V Parag
PY  - 2026
JO  - American Journal of Epidemiology
DO  - 10.1093/aje/kwag154
UR  - https://doi.org/10.1093/aje/kwag154
ER  -

APA

Steyn, N., Mills, C., Shirvaikar, V., Smith, F. B., Donnelly, C. A., & Parag, K. V. (2026). A decision-theoretic framework for uncertainty quantification in epidemiological modelling. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwag154

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crossref · retrieved 2026-11-10T09:38:52.868Z