Exploring the predictability of distributed lag nonlinear models using SARS-CoV-2 wastewater-based surveillance in multiple communities in Alberta, Canada.
- DOI
- 10.1371/journal.pone.0349030
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0349030,
title = {Exploring the predictability of distributed lag nonlinear models using SARS-CoV-2 wastewater-based surveillance in multiple communities in Alberta, Canada.},
author = {Rosychuk RJ and Lee BE and Qiu JY and Gao T and Parkins MD and Hubert CRJ and Pang X},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0349030},
url = {https://doi.org/10.1371/journal.pone.0349030}
}RIS
TY - JOUR TI - Exploring the predictability of distributed lag nonlinear models using SARS-CoV-2 wastewater-based surveillance in multiple communities in Alberta, Canada. AU - Rosychuk RJ AU - Lee BE AU - Qiu JY AU - Gao T AU - Parkins MD AU - Hubert CRJ AU - Pang X PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0349030 UR - https://doi.org/10.1371/journal.pone.0349030 ER -
APA
RJ, R., BE, L., JY, Q., T, G., MD, P., CRJ, H., & X, P. (2026). Exploring the predictability of distributed lag nonlinear models using SARS-CoV-2 wastewater-based surveillance in multiple communities in Alberta, Canada.. PloS one. https://doi.org/10.1371/journal.pone.0349030
Source records
- pubmed · retrieved 2026-09-24T22:09:43.396Z