A Bayesian approach to estimating COVID-19 incidence and infection fatality rates.

ABSTRACT: Naive estimates of incidence and infection fatality rates (IFR) of coronavirus disease 2019 suffer from a variety of biases, many of which relate to preferential testing. This has motivated epidemiologists from around the globe to conduct serosurveys that measure the immunity of individuals by testing for the presence of SARS-CoV-2 antibodies in the blood. These quantitative measures (titer values) are then used as a proxy for previous or current infection. However, statistical methods that use this data to its full potential have yet to be developed. Previous researchers have discretized these continuous values, discarding potentially useful information. In this article, we demonstrate how multivariate mixture models can be used in combination with post-stratification to estimate cumulati

SUBMITTER: Slater JJ 

PROVIDER: S-EPMC11017123 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature