Age-Structured Spatio-Temporal Models for Infectious Disease Counts R package hhh4contacts version 0.13.4 Meyer and Held (2017) <doi:10.1093/biostatistics/kxw051> present an age-structured spatio-temporal model for infectious disease counts. The approach is illustrated in a case study on norovirus gastroenteritis in Berlin, 2011-2015, by age group, city district and week, using additional contact data from the POLYMOD survey. This package contains the data and code to reproduce the results from the paper, see 'demo("hhh4contacts")'. Software Depends: R (>= 3.2.0), grDevices, graphics, methods, stats, utils, surveillance (>= 1.14.0) Imports: sp Suggests: MASS, lattice, gridExtra Sebastian Meyer <seb.meyer@fau.de> Comprehensive R Archive Network (CRAN) Sebastian Meyer [aut, cre] (ORCID: <https://orcid.org/0000-0002-1791-9449>), Leonhard Held [ctb, ths] (ORCID: <https://orcid.org/0000-0002-8686-5325>) GPL-2 2024-10-07 application/tgz https://CRAN.R-project.org/package=hhh4contacts doi:10.32614/CRAN.package.hhh4contacts