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PMC:7175914 / 28448-29089 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
181 107-115 Disease denotes COVID-19 MESH:C000657245

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T130 107-115 SP_7 denotes COVID-19

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T59 107-115 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T144 324-326 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T145 567-568 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T186 0-146 Sentence denotes For the simulation and prediction abilities of our model, it displayed that our model can well capture the COVID-19 variations with high accuracy.
T187 147-252 Sentence denotes In general, it is very hard to capture the disease variations with high accuracy by the dynamical models.
T188 253-365 Sentence denotes We have been compared our forecasting with the observed data prolonged 11 days from Feb 24, 2020 to Mar 4, 2020.
T189 366-473 Sentence denotes The absolute values of RE (relative error) of the cumulative confirmed cases are smaller than 1% (Table 2).
T190 474-641 Sentence denotes The corresponding figures also display that our model can capture the temporal variations in a relative longer period (see SFigure 1 in the supplementary information).