| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T73 |
0-207 |
Sentence |
denotes |
We used methods described previously to estimate the distribution of individual times since exposure in a growing or stable epidemic, given various values of the reproductive number R0 (Gostic et al., 2015). |
| T74 |
208-404 |
Sentence |
denotes |
Briefly, early in the epidemic when the number of cases is still growing, the model draws on epidemiological theory to assume that the fraction of cases who are recently exposed increases with R0. |
| T75 |
405-765 |
Sentence |
denotes |
The distribution of times since exposure is truncated at a maximum value, which corresponds epidemiologically to the maximum time from exposure to patient isolation, after which point we assume cases will not attempt to travel. (Isolation may occur due to hospitalization, or due to confinement at home in response to escalating symptoms or COVID-19 diagnosis. |
| T76 |
766-1033 |
Sentence |
denotes |
In the non-travel context, this would correspond to cases that have been hospitalized or otherwise diagnosed and isolated.) Here, we approximate the maximum time from exposure to isolation as the sum of the mean incubation time, and mean time from onset to isolation. |
| T77 |
1034-1235 |
Sentence |
denotes |
To consider the epidemiological context of a stable epidemic in the source population we assume times since exposure follow a uniform distribution across the time period between exposure and isolation. |
