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PMC:7050133 / 35-1398 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
3 15-23 Disease denotes COVID-19 MESH:C000657245
6 169-188 Disease denotes infectious diseases MESH:D003141
7 223-249 Disease denotes 2019 coronavirus infection MESH:C000657245
10 503-514 Species denotes coronavirus Tax:11118
11 831-841 Disease denotes infections MESH:D007239
13 939-950 Species denotes coronavirus Tax:11118

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 15-23 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 169-179 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T3 240-249 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T4 831-841 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 87-88 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T2 259-260 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 457-458 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 657-658 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 1317-1325 http://purl.obolibrary.org/obo/SO_0000418 denotes signaled

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T2 114-122 Sentence denotes Abstract
T3 123-133 Sentence denotes Background
T4 134-424 Sentence denotes Similar to outbreaks of many other infectious diseases, success in controlling the novel 2019 coronavirus infection requires a timely and accurate monitoring of the epidemic, particularly during its early period with rather limited data while the need for information increases explosively.
T5 426-433 Sentence denotes Methods
T6 434-593 Sentence denotes In this study, we used a second derivative model to characterize the coronavirus epidemic in China with cumulatively diagnosed cases during the first 2 months.
T7 594-687 Sentence denotes The analysis was further enhanced by an exponential model with a close-population assumption.
T8 688-873 Sentence denotes This model was built with the data and used to assess the detection rate during the study period, considering the differences between the true infections, detectable and detected cases.
T9 875-882 Sentence denotes Results
T10 883-995 Sentence denotes Results from the second derivative modeling suggest the coronavirus epidemic as nonlinear and chaotic in nature.
T11 996-1204 Sentence denotes Although it emerged gradually, the epidemic was highly responsive to massive interventions initiated on January 21, 2020, as indicated by results from both second derivative and exponential modeling analyses.
T12 1205-1278 Sentence denotes The epidemic started to decelerate immediately after the massive actions.