Exploring the predictability of distributed lag nonlinear models using SARS-CoV-2 wastewater-based surveillance in multiple communities in Alberta, Canada.

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Title: Exploring the predictability of distributed lag nonlinear models using SARS-CoV-2 wastewater-based surveillance in multiple communities in Alberta, Canada.
Authors: Rosychuk RJ; Department of Pediatrics, Faculty of Medicine and Dentistry, College of Health Sciences, University of Alberta, Edmonton, Alberta, Canada.; Department of Mathematical and Statistical Sciences, Faculty of Science, College of Natural and Applied Sciences, University of Alberta, Edmonton, Alberta, Canada.; Department of Statistics and Actuarial Science, Faculty of Science, Simon Fraser University, Burnaby, British Columbia, Canada.; Women and Children's Health Research Institute, Edmonton, Alberta, Canada., Lee BE; Department of Pediatrics, Faculty of Medicine and Dentistry, College of Health Sciences, University of Alberta, Edmonton, Alberta, Canada.; Women and Children's Health Research Institute, Edmonton, Alberta, Canada., Qiu JY; Women and Children's Health Research Institute, Edmonton, Alberta, Canada.; Alberta Precision Laboratory, Public Health Laboratory, Edmonton, Alberta, Canada.; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.; Li Ka Shing Institute of Virology, University of Alberta, Edmonton, Alberta, Canada., Gao T; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada., Parkins MD; Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada., Hubert CRJ; Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada.; Advancing Canadian Wastewater Assets, University of Calgary, Calgary, Alberta, Canada., Pang X; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.; Li Ka Shing Institute of Virology, University of Alberta, Edmonton, Alberta, Canada.
Source: PloS one [PLoS One] 2026 Jul 10; Vol. 21 (7), pp. e0349030. Date of Electronic Publication: 2026 Jul 10 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0349030