01 Imperfect testing and serosurveys

Projects in this node of the network involve developing statistical methods for analyzing infectious disease data, both in the context of the COVID-19 pandemic and other contexts. Goals include addressing various challenging issues associated with noisy data, including heterogeneity, varying incubation times, reporting errors, imperfect test specificity and sensitivity, and missing values.

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EIDM 
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SMMEID
SMMEID – Projects
01 Imperfect testing and serosurveys
Paul Gustafson
Grace Yi
Covid-19
Sensitivity and specificity
02 COVID mortality forecasting
03 Modelling emerging infectious disease
04 Estimating COVID-19 prevalence in homeless populations
05 Hidden Markov Individual-level Models of Disease Transmission
06 Daily air pollution and mortality
07 Small-area estimation and serosurveys
08 Spatial-Temporal Modeling of COVID-19 Adverse Outcomes in Canada
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