| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T104 |
0-4 |
Sentence |
denotes |
2.6. |
| T105 |
5-24 |
Sentence |
denotes |
Survival Definition |
| T106 |
25-218 |
Sentence |
denotes |
Survival is defined as the set of parameters that, when uniformly modulated, increases the pathogen’s probability of surviving the outside environment and successfully infecting a new host [2]. |
| T107 |
219-421 |
Sentence |
denotes |
In our model, this includes both the waning virus rate in the environment (k) and the contact rate of an individual with the environment × the transmission probability of the environment to people (βw). |
| T108 |
422-560 |
Sentence |
denotes |
Table 4 outlines the direction (increasing or decreasing) in which these parameters are modulated when survival is decreased or increased. |
| T109 |
561-692 |
Sentence |
denotes |
Within both models, a (percent) change in survival is defined as an equivalent uniform (percent) change in the survival parameters. |
| T110 |
693-1149 |
Sentence |
denotes |
Throughout this study, the impact of changes in virulence and survival (and the relationship between these traits) are assessed with respect to the following four epidemic metrics: the number of infected individuals (asymptomatic and symptomatic) at the maximum (when the outbreak is at its most severe), the rate at which the peak infected population is reached (tmax−1), the total infected population after 30 days, and the basic reproductive ratio (R0). |
| T111 |
1150-1335 |
Sentence |
denotes |
Importantly, among these signatures, the basic reproductive ratio is the most frequently used in epidemiology and benefits from familiarity and mathematical formalism (see Section 2.7). |
| T112 |
1336-1443 |
Sentence |
denotes |
The other signatures are determined through simulations of an epidemic for a given set of parameter values. |
| T113 |
1444-1645 |
Sentence |
denotes |
Nonetheless, this study’s inclusion of multiple features of the epidemic allows us to examine how variation in virus life-history traits may influence different aspects of an epidemic in peculiar ways. |
