Developing and validating a Bayesian clinical risk prediction model for three sexually transmitted infections in key populations from two Canadian provinces
This Bayesian-based CRPM is the first to identify high-risk individuals for HIV, HCV and syphilis with an overall good performance that minimises case missing. After additional validation, it could serve as a promising novel tool for prescreening key populations and improve Canadian STBBI multiplexed screening strategies.
Authors
- Alexandre Dumont Blais
- Stefanie Materniak
- Suma Nair
- Fiorella Vialard (ORCID: https://orcid.org/0000-0001-8575-436X)
- Duncan Webster (ORCID: https://orcid.org/0000-0001-7692-7150)
- Susan J. Bartlett (ORCID: https://orcid.org/0000-0001-9755-2490)
- Nitika Pant Pai (ORCID: https://orcid.org/0000-0002-4672-0500)
- Qihuang Zhang (ORCID: https://orcid.org/0000-0003-1455-2159)
Institutions
- Saint John Regional Hospital (CA)
- McGill University Health Centre (CA)
- British American Tobacco (Canada) (CA)
- D.Y. Patil University (IN)
- McGill University (CA)
Publication Details
- Journal
- Sexually Transmitted Infections
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1136/sextrans-2024-056286
- Citations
- 1
- Primary Topic
- HIV, Drug Use, Sexual Risk
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Canadian Institutes of Health Research
- Fonds de Recherche du Québec - Santé