COVIDCurve: COVIDCurve: Simple Inference of Age-Specific IFRs
In mrc-ide/COVIDCurve: Inferring the Infection Fatality Ratio from COVID-19 Aggregated Death and Seroprevalence Data
Description
In many settings, individual-based (i.e. "line-list") data are often unavailable or
unreliable. Here we provide a model framework that relies on aggregated death counts and seroprevalence
data to infer the infection fatality ratio, or the probability of death givin infection. Models are
fit within a Bayesian framework and account for onset-outcome delays and serologic test characteristics.
mrc-ide/COVIDCurve documentation built on June 2, 2021, 7:37 a.m.
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Description
In many settings, individual-based (i.e. "line-list") data are often unavailable or unreliable. Here we provide a model framework that relies on aggregated death counts and seroprevalence data to infer the infection fatality ratio, or the probability of death givin infection. Models are fit within a Bayesian framework and account for onset-outcome delays and serologic test characteristics.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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