> top > docs > PMC:7014668 > spans > 113-638 > annotations

PMC:7014668 / 113-638 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
10 62-81 Disease denotes 2019-nCoV infection MESH:C000657245
11 236-244 Disease denotes infected MESH:D007239
12 457-475 Disease denotes 2019-nCoV infected MESH:C000657245
13 505-513 Disease denotes infected MESH:D007239

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 62-81 Disease denotes 2019-nCoV infection http://purl.obolibrary.org/obo/MONDO_0100096
T2 72-81 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T3 457-475 Disease denotes 2019-nCoV infected http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 223-225 http://purl.obolibrary.org/obo/CLO_0001313 denotes 36
T2 430-431 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T3 0-148 Sentence denotes We evaluated effectiveness of thermal passenger screening for 2019-nCoV infection at airport exit and entry to inform public health decision-making.
T4 149-222 Sentence denotes In our baseline scenario, we estimated that 46% (95% confidence interval:
T5 223-389 Sentence denotes 36 to 58) of infected travellers would not be detected, depending on incubation period, sensitivity of exit and entry screening, and proportion of asymptomatic cases.
T6 390-525 Sentence denotes Airport screening is unlikely to detect a sufficient proportion of 2019-nCoV infected travellers to avoid entry of infected travellers.