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PMC:7795931 / 28857-29851 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
134 720-726 Species denotes people Tax:9606
135 781-787 Species denotes people Tax:9606
136 867-873 Species denotes people Tax:9606
137 237-246 Disease denotes infection MESH:D007239
138 354-363 Disease denotes infection MESH:D007239
139 417-426 Disease denotes infection MESH:D007239
140 727-735 Disease denotes infected MESH:D007239
141 788-796 Disease denotes infected MESH:D007239

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T5 438-443 Phenotype denotes falls http://purl.obolibrary.org/obo/HP_0002527

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T187 0-89 Sentence denotes Second, we will dissect the underlying logic and mechanism of the government’s trade-off.
T188 90-275 Sentence denotes We take one of the curves in Figure 3a that is denoted by ξ=1 and XI=0.5, as an example, to find the relationship between disclosing the threshold infection rate, then we have Figure 4.
T189 276-994 Sentence denotes In all 550 (11×50) experiments, the disclosing threshold for the lowest final infection rate usually lies between 0.7 and 0.9, and the final infection rate first falls then rises as the disclosing threshold increases, with the inflection point being at 0.8 (Figure 4a); the amount of final information per capita and the duration of government intervention both increase monotonically with the disclosing threshold (Figure 4b,e); the number of people infected after government intervention, the number of people infected by a panic after government intervention and the number of uninfected people remaining at the time of government intervention all negatively correlate with the disclosing threshold (Figure 4c,d,f).