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PMC:7033348 / 105-2412 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T2 30-39 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T3 65-73 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 180-181 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T2 194-199 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T3 203-208 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T4 222-225 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T5 257-262 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T6 304-307 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T7 536-537 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T8 1320-1321 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T9 1388-1389 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 2081-2084 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T11 2281-2284 http://purl.obolibrary.org/obo/CLO_0051582 denotes has

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 30-39 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 605-611 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T2 1343-1349 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T3 1370-1376 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T4 2274-2280 http://purl.obolibrary.org/obo/GO_0040007 denotes growth

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T3 0-131 Sentence denotes The initial cluster of severe pneumonia cases that triggered the COVID-19 epidemic was identified in Wuhan, China in December 2019.
T4 132-280 Sentence denotes While early cases of the disease were linked to a wet market, human-to-human transmission has driven the rapid spread of the virus throughout China.
T5 281-505 Sentence denotes The Chinese government has implemented containment strategies of city-wide lockdowns, screening at airports and train stations, and isolation of suspected patients; however, the cumulative case count keeps growing every day.
T6 506-720 Sentence denotes The ongoing outbreak presents a challenge for modelers, as limited data are available on the early growth trajectory, and the epidemiological characteristics of the novel coronavirus are yet to be fully elucidated.
T7 721-1023 Sentence denotes We use phenomenological models that have been validated during previous outbreaks to generate and assess short-term forecasts of the cumulative number of confirmed reported cases in Hubei province, the epicenter of the epidemic, and for the overall trajectory in China, excluding the province of Hubei.
T8 1024-1175 Sentence denotes We collect daily reported cumulative confirmed cases for the 2019-nCoV outbreak for each Chinese province from the National Health Commission of China.
T9 1176-1414 Sentence denotes Here, we provide 5, 10, and 15 day forecasts for five consecutive days, February 5th through February 9th, with quantified uncertainty based on a generalized logistic growth model, the Richards growth model, and a sub-epidemic wave model.
T10 1415-1699 Sentence denotes Our most recent forecasts reported here, based on data up until February 9, 2020, largely agree across the three models presented and suggest an average range of 7409–7496 additional confirmed cases in Hubei and 1128–1929 additional cases in other provinces within the next five days.
T11 1700-1852 Sentence denotes Models also predict an average total cumulative case count between 37,415 and 38,028 in Hubei and 11,588–13,499 in other provinces by February 24, 2020.
T12 1853-2013 Sentence denotes Mean estimates and uncertainty bounds for both Hubei and other provinces have remained relatively stable in the last three reporting dates (February 7th – 9th).
T13 2014-2138 Sentence denotes We also observe that each of the models predicts that the epidemic has reached saturation in both Hubei and other provinces.
T14 2139-2307 Sentence denotes Our findings suggest that the containment strategies implemented in China are successfully reducing transmission and that the epidemic growth has slowed in recent days.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
4 30-39 Disease denotes pneumonia MESH:D011014
5 65-73 Disease denotes COVID-19 MESH:C000657245