Predictive assessment of a non‐linear random effects model for multivariate time series of infectious disease counts
Predictive assessment of a non‐linear random effects model for multivariate time series of infectious disease counts
Abstract Infectious disease counts from surveillance systems are typically observed in several administrative geographical areas. In this paper, a non‐linear model for the analysis of such multiple time series of counts is discussed. To account for heterogeneous incidence levels or varying transmission of a pathogen across regions, region‐specific and possibly …