This simulates what might be observed in an outbreak if there was on average
a 5 day delay on the reporting of hospital admissions.
The configuration of the outbreak is the same as ggoutbreak::test_bpm, but
this is summary data that describes the whole history of admissions that were
observed, when observed at any given time point. This is a triangular set
of data where the counts are right censored by the observation time.
Usage
data(test_delayed_observation)Format
A dataframe containing the following columns:
statistic (character) - the statistic column (only admissions)
obs_time (as.time_period) - the time of observation of the time-series
time (as.time_period) - the time of the data point in the time-series
count (integer) - the count of admissions
Grouped by: obs_time + statistic.
3321 rows and 4 columns