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")'.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.13.4 |
2026-04-09 windows/windows R-4.5 | hhh4contacts_0.13.4.zip |
324.1 KiB |