Identifying spatiotemporal patterns of COVID-19 transmissions and the drivers of the patterns in Toronto: a Bayesian hierarchical spatiotemporal modelling.

The neighbourhoods with a negative estimated coefficient were considered to have a decreasing trend over time, and the neighbourhoods with positive estimated coefficients were considered to have an increasing trend over time.

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The spatiotemporal risk patterns identified 60% of neighbourhoods had a stable, 37% had an increasing, and 2% had a decreasing trend over the study period.

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