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Spatial-temporal generalized additive model for modeling COVID-19 mortality risk in Toronto, Canada
This article presents a spatial–temporal generalized additive model for modeling geo-referenced COVID-19 mortality data in Toronto, Canada. A range of factors and spatial–temporal terms are incorporated into the model. The non-linear and interactive effects of the neighborhood-level factors, i.e., p...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier B.V.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257405/ https://www.ncbi.nlm.nih.gov/pubmed/34249608 http://dx.doi.org/10.1016/j.spasta.2021.100526 |