02 COVID mortality forecasting
An existing forecasting model is made up of multiple waves, each of which follows the shape of a skew-normal density function, with model fitting done with Bayesian MCMC. A challenge of working with this model is the large number of latent variables which are not Gaussian. The model will be extended to make spatio-temporal forecasts, and improved algorithms for handling waves of infections must be built. Methods for handling censored, aggregated, and age-specific death counts are also required.
Networks »Networks
SMMEID – Projects »SMMEID – Projects
02 COVID mortality forecasting
Patrick Brown »Patrick Brown
Covid-19 »Covid-19
Mortality »Mortality
+Comments (0)
+Citations (0)