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PMC:7050133 / 28906-29715 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
237 250-258 Disease denotes infected MESH:D007239
238 558-566 Disease denotes COVID-19 MESH:C000657245
239 567-576 Disease denotes infection MESH:D007239

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T79 558-566 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T80 567-576 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T102 289-291 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T103 504-513 http://purl.obolibrary.org/obo/CLO_0001658 denotes activated

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T175 0-179 Sentence denotes Another important piece of findings is that we detected the effect of the national efforts taken by China from the beginning when they were in position till the end of this study.
T176 180-371 Sentence denotes For example, from the second derivative, we observed increases in the infected through the action on January 22, 2020, the next day after the massive intervention started on January 21, 2020.
T177 372-431 Sentence denotes This result was also picked up by the exponential modeling.
T178 432-577 Sentence denotes From day one on January 21, 2020 when the massive intervention measures activated to February 4, 2020 is the latent period of COVID-19 infection.
T179 578-809 Sentence denotes The second derivative precisely recorded the change in newly diagnosed cases in response to the massive measures, reflected as the rapid increase in detection rate, consistent with the result from the exponential modeling analysis.