| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T227 |
0-39 |
Sentence |
denotes |
There are also limitations in our data. |
| T228 |
40-194 |
Sentence |
denotes |
We have used an observation model to link reported cases to the modelled prevalence, and we included variation in the portion of cases detected over time. |
| T229 |
195-409 |
Sentence |
denotes |
Modelling and forecasting based on reported cases faces challenges when testing is driven by clinical needs, testing capacities, and other constraints (and in particular is not designed to test population samples). |
| T230 |
410-534 |
Sentence |
denotes |
Cases in long-term care facilities (LTCF) represent a substantial fraction of the cases, and particularly the deaths, in BC. |
| T231 |
535-639 |
Sentence |
denotes |
Along with the low number of deaths in total, this is one rationale for not modelling deaths explicitly. |
| T232 |
640-745 |
Sentence |
denotes |
We included LTCF cases but also modelled a wide range of under-reporting to account for potential biases. |
| T233 |
746-898 |
Sentence |
denotes |
If many cases in an LTCF cluster were all reported on the same day (or within a short time frame) this could increase the noise in reported case counts. |
| T234 |
899-1224 |
Sentence |
denotes |
We have modelled case counts as over-dispersed compared to a Poisson distribution to account for such variation; we have developed the R package to model a range of data types individually or in combination (e.g., reported cases, hospitalizations, ICU admissions), which could help to overcome limitations of particular data. |
