64th ISI World Statistics Congress

64th ISI World Statistics Congress

Determining the lethality of COVID-19: Lessons for addressing bias and uncertainty in evidence synthesis

Author

HC
Harlan Campbell

Co-author

  • P
    Paul Gustafson

Conference

64th ISI World Statistics Congress

Format: IPS Abstract

Keywords: "bayesian, "statistical, covid-19, meta-analysis, selection bias

Session: IPS 79 - Statistical methods for managing emerging infectious diseases

Wednesday 19 July 2 p.m. - 3:40 p.m. (Canada/Eastern)

Abstract

I consider a Bayesian evidence synthesis approach for estimating the COVID-19 infection fatality rate which accounts for many important sources of bias and uncertainty inherent in both the seroprevalence and mortality data. The various challenges in estimating the COVID-19 IFR provide valuable lessons for epidemiologists conducting evidence synthesis with challenging data.