| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T170 |
0-8 |
Sentence |
denotes |
Overview |
| T171 |
9-139 |
Sentence |
denotes |
The method used to estimate Rπππ is described in Cori et al., 2013, as implemented in the R package, EpiNow (Abbott et al., 2020). |
| T172 |
140-420 |
Sentence |
denotes |
This method is currently in development by the Centre for the Mathematical Modelling of Infectious Diseases at the London School of Hygiene and Tropical Medicine (London School of Hygiene & Tropical Medicine Mathematical Modelling of Infectious Diseases nCoV working group, 2020). |
| T173 |
421-542 |
Sentence |
denotes |
Full details of their statistical analysis and code base is available via their website (https://epiforecasts.io/covid/). |
| T174 |
543-862 |
Sentence |
denotes |
The uncertainty in the Rπππ estimates (shown in Figure 2; Figure 2βfigure supplements 1, 2 and 3) represents variability in a population-level average as a result of imperfect data, rather than individual-level heterogeneity in transmission (i.e., the variation in the number of secondary cases generated by each case). |
| T175 |
863-1075 |
Sentence |
denotes |
This is akin to the variation represented by a confidence interval (i.e., variation in the estimate resulting from a finite sample), rather than a prediction interval (i.e., variation in individual observations). |
| T176 |
1076-1222 |
Sentence |
denotes |
We provide a brief overview of the method and sources of imperfect data below, focusing on how the analysis was adapted to the Australian context. |
