hhh4contacts: Age-Structured Spatio-Temporal Models for Infectious Disease Counts

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")'.

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Package details

AuthorSebastian Meyer [aut, cre], Leonhard Held [ctb, ths]
MaintainerSebastian Meyer <seb.meyer@fau.de>
Package repositoryView on CRAN
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hhh4contacts documentation built on March 20, 2020, 5:07 p.m.