Breach Data
breach.RdSimulated 7-day quarantine breach rate data across Australian states and territories, based on the modelling by Zachreson et al. (2022).
Format
A tibble with one row per date and the following columns:
- REPORT_DATE
Date of observation (class:
Date)- AUS, NSW, VIC, QLD, SA, WA, TAS, NT, ACT
Daily 7-day breach rates for each jurisdiction
- AUS_BREACH, NSW_BREACH, VIC_BREACH, QLD_BREACH, SA_BREACH, WA_BREACH, TAS_BREACH, NT_BREACH, ACT_BREACH
Binary indicators (1 = breach event occurred, 0 = none)
Source
Simulated data derived from Zachreson et al. (2022), COVID-19 in low-tolerance border quarantine systems: Impact of the Delta variant of SARS-CoV-2. Science Advances. Available at https://www.science.org/doi/10.1126/sciadv.abm3624.
Details
This dataset includes raw simulated data showing the 7-day breach rates of COVID-19 (or other potential viruses) within Australian quarantine systems. It provides state-level and national-level daily observations of breach probabilities under different quarantine system configurations.
The data was extracted from sheet 9 of data-raw/covid.xlsx, which is derived
from simulations presented in Zachreson et al. (2022). The original study is available
at https://www.science.org/doi/10.1126/sciadv.abm3624.
This dataset can be used to analyse the susceptibility of any virus given the quarantine systems implemented across different Australian jurisdictions.
Examples
data(breach)
head(breach)
#> # A tibble: 6 × 14
#> REPORT_DATE AUS NSW NSW_BREACH VIC VIC_BREACH QLD QLD_BREACH
#> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2020-10-27 00:00:00 12 6.6 NA 0 NA 0.4 NA
#> 2 2020-10-28 00:00:00 11.7 6.4 NA 0 NA 0.3 NA
#> 3 2020-10-29 00:00:00 10.9 5.7 NA 0 NA 0.6 NA
#> 4 2020-10-30 00:00:00 9.9 5.6 NA 0 NA 0.1 NA
#> 5 2020-10-31 00:00:00 9.7 5.3 NA 0 NA 0.3 NA
#> 6 2020-11-01 00:00:00 8.6 4.9 NA 0 NA 0.4 NA
#> # ℹ 6 more variables: WA <dbl>, WA_BREACH <dbl>, SA <dbl>, SA_BREACH <dbl>,
#> # NT <dbl>, NT_BREACH <lgl>