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Assessing COVID-19 Risk Factors in Toronto Using a Localized Spatio-Temporal Conditional Autoregressive Model

2026-02-04 epidemiology Title + abstract only
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PurposeMost spatio-temporal models identify COVID-19 sociodemographic and socioeconomic risk factors using methods that assume a single spatial dependency pattern across the city, which may not reflect reality. The purpose of this study is to apply a spatially and temporally localized Bayesian model to identify COVID-19 risk factors that account for localized context. MethodsFor this study, a spatio-temporal localized Bayesian Hierarchical Model (ST-LCAR) was used to assess the relationships be...

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