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PMC:7102659 / 6325-7119 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T30 464-472 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T31 685-688 Disease denotes SIN http://purl.obolibrary.org/obo/MONDO_0024475
T32 705-708 Disease denotes SIN http://purl.obolibrary.org/obo/MONDO_0024475

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T25 195-196 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T26 304-305 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T27 433-438 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T28 442-447 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T29 620-621 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T43 0-71 Sentence denotes We adopt the transmission rate function formulated in He et al. (2013).
T44 72-179 Sentence denotes We rename the school term effect as the governmental action effect, since the former belongs to the latter.
T45 180-250 Sentence denotes We also assume a period of zoonotic transmission during December 2019.
T46 251-399 Sentence denotes We model the zoonotic transmission (denoted as F) as a stepwise function, which takes zero after the shutdown of Huanan seafood market (presumably).
T47 400-613 Sentence denotes We then only model the sustained human-to-human transmission of COVID-19 after this date, along with the emigration of 5 million population before Wuhan was officially locked down (South China Morning Post, 2020).
T48 614-794 Sentence denotes Thus, a compartmental model is formulated as follows:(1) S'=-β0SFN-β(t)SIN-μS,E'=β0SFN+β(t)SIN-(σ+μ)E,I'=σE-(γ+μ)I,R'=γI-μR,N'=-μN,D'=d   γI-λD,andC'=σE,where(2) β(t)=β0(1−α)1−DNκ.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
79 433-438 Species denotes human Tax:9606
80 442-447 Species denotes human Tax:9606
81 207-215 Disease denotes zoonotic MESH:D015047
82 264-272 Disease denotes zoonotic MESH:D015047
83 464-472 Disease denotes COVID-19 MESH:C000657245