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08 Spatial-Temporal Modeling of COVID-19 Adverse Outcomes in Canada

The aims of the research are to (1) identify localised risk factors for increased severe conditions for COVID-19 (2) identify localised areas in space–time at significantly higher risk, and (3) quantify the impact of changes in localised restriction policies on adverse outcomes and forecast the epidemic.

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08 Spatial-Temporal Modeling of COVID-19 Adverse Outcomes in Canada
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Patrick Brown
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Cindy Feng
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Covid-19
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Spatio-temporal analysis
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01 Imperfect testing and serosurveys
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02 COVID mortality forecasting
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03 Modelling emerging infectious disease
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04 Estimating COVID-19 prevalence in homeless populations
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05 Hidden Markov Individual-level Models of Disease Transmission
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06 Daily air pollution and mortality
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07 Small-area estimation and serosurveys
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