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PMC:7551987 / 21741-22804 JSONTXT

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2_test

Id Subject Object Predicate Lexical cue
32971954-15682873-143921964 172-174 15682873 denotes 13

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
118 792-800 Disease denotes infected MESH:D007239
119 935-943 Disease denotes infected MESH:D007239

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T149 0-4 Sentence denotes 3.5.
T150 5-56 Sentence denotes Positive Correlation Between Survival and Virulence
T151 57-176 Sentence denotes In a positive correlation scenario, high values for survival would be associated with high values for virulence [4,13].
T152 177-338 Sentence denotes Because the correlations we observe are often not exactly linear, we utilize quadrants to express a trend, allowing for some variance around the expected “line”.
T153 339-479 Sentence denotes In Figure 5, the positive correlation scenario can be represented by combinations of virulence and survival residing in quadrants I and III.
T154 480-658 Sentence denotes If host–pathogen evolution proceeds according to a positive correlation scenario, all outbreak metrics would show an increase in severity as both survival and virulence increase.
T155 659-1063 Sentence denotes Across the range of variation in virulence and survival traits considered (5% above and below the nominal value), the peak number of infected individuals increases by approximately 35%, the rate at which the peak is reached increases by approximately 16%, the total number of infected individuals after 30 days increases by approximately 98%, and R0 increases by approximately 94% (Figure 6 and Table 5).