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PMC:7058650 / 2745-5911 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
30 311-328 Species denotes Novel Coronavirus Tax:2697049
31 345-354 Species denotes 2019-nCoV Tax:2697049
32 372-382 Species denotes SARS-COV-2 Tax:2697049
33 119-155 Disease denotes Novel Coronavirus-infected pneumonia MESH:C000657245
42 1280-1285 Species denotes human Tax:9606
43 1289-1294 Species denotes human Tax:9606
44 864-900 Disease denotes Novel Coronavirus-infected pneumonia MESH:C000657245
45 902-910 Disease denotes COVID-19 MESH:C000657245
46 1175-1180 Disease denotes cough MESH:D003371
47 1182-1190 Disease denotes lethargy MESH:D053609
48 1192-1199 Disease denotes myalgia MESH:D063806
49 1201-1209 Disease denotes infected MESH:D007239
52 1474-1479 Species denotes human Tax:9606
53 1611-1620 Disease denotes infection MESH:D007239
57 1918-1927 Species denotes 2019-nCoV Tax:2697049
58 2274-2283 Species denotes 2019-nCoV Tax:2697049

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T4 146-155 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T5 372-376 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T6 891-900 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T7 902-910 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 1611-1620 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T11 98-99 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 176-188 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T13 309-310 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 582-590 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T15 736-741 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T16 761-765 http://purl.obolibrary.org/obo/CLO_0053799 denotes 4, 5
T17 921-923 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T18 1280-1285 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T19 1289-1294 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T20 1447-1448 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T21 1474-1479 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T22 1717-1720 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T23 1767-1768 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T24 1936-1940 http://purl.obolibrary.org/obo/CLO_0053799 denotes 4, 5
T25 1942-1944 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T26 1986-1988 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T27 2287-2288 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 2309-2314 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T29 2540-2541 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T30 2745-2746 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T31 2789-2792 http://purl.obolibrary.org/obo/PR_000001343 denotes aim
T32 3018-3019 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T33 3029-3034 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T34 3109-3110 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T3 1101-1107 http://purl.obolibrary.org/obo/GO_0060361 denotes flight
T4 1807-1813 http://purl.obolibrary.org/obo/GO_0060361 denotes flight

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T2 146-155 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T3 891-900 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T4 1175-1180 Phenotype denotes cough http://purl.obolibrary.org/obo/HP_0012735
T5 1182-1190 Phenotype denotes lethargy http://purl.obolibrary.org/obo/HP_0001254
T6 1192-1199 Phenotype denotes myalgia http://purl.obolibrary.org/obo/HP_0003326

2_test

Id Subject Object Predicate Lexical cue
32100667-31995857-28542271 196-197 31995857 denotes 1

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T15 0-12 Sentence denotes Introduction
T16 13-199 Sentence denotes On 31 December 2019, local hospitals in Wuhan, China reported that they had detected a series of cases of Novel Coronavirus-infected pneumonia to the World Health Organization (WHO) [1].
T17 200-384 Sentence denotes On 7 January, the causative agent was identified by the Chinese Centre for Disease Control and Prevention as a Novel Coronavirus and designated ‘2019-nCoV’ and finally as "SARS-COV-2".
T18 385-512 Sentence denotes Epidemiological investigations identified the local Huanan seafood wet market as the location of an initial exposure event [2].
T19 513-614 Sentence denotes The market was closed on 31 December 2019 [2, 3] and wildlife market activity was banned countrywide.
T20 615-812 Sentence denotes Despite travel restrictions to and from the city imposed by Chinese authorities to limit the potential dispersion of the virus beyond the region [4, 5], international cases continue to be reported.
T21 813-1005 Sentence denotes As of 5 February 2020, there were 24 554 confirmed Novel Coronavirus-infected pneumonia (COVID-19) cases in 27 countries or territories, of which 24 363 (99.2%) were within mainland China [6].
T22 1006-1131 Sentence denotes The locations of internationally imported cases are consistent with risk models generated from flight data out of Wuhan city.
T23 1132-1350 Sentence denotes Transmission from mildly symptomatic (i.e. cough, lethargy, myalgia) infected individuals was identified early in the course of this outbreak, with human-to-human transmission detected in international case series [7].
T24 1351-1621 Sentence denotes The timing of this outbreak around the lunar new year widely celebrated in China coincides with a period of highest annual human movement patterns in the region and between China and globally [8], increasing the potential for rapid geographic dispersal of the infection.
T25 1622-1867 Sentence denotes Further, recent investment in the African continent by the Chinese state and private investors has led to an increasing Chinese diaspora [9] and a greater number of direct and indirect flight connections to the African continent from China [10].
T26 1868-1946 Sentence denotes There are few studies available on global risk of 2019-nCoV spread [4, 5, 11].
T27 1947-2111 Sentence denotes Bogoch et al. [5] and Chinazzi et al. [11] estimated the risk of importation of 2019-nCoV from major Chinese cities to the most frequent international destinations.
T28 2112-2207 Sentence denotes Wu et al. estimated the risk of international spread compared to domestic outbound flights [4].
T29 2208-2343 Sentence denotes These articles do not model the cumulative risk of importation of 2019-nCoV in a country and instead focus on specific points of entry.
T30 2344-2628 Sentence denotes Here, we considered all the end destinations of flights from four important cities of China involving 168 countries/territories around the world and calculated the total risk of transmission into a country by aggregating the risk associated with all the entry airports of the country.
T31 2629-2784 Sentence denotes We further looked in more detail at the risk to Africa where the health infrastructure would be challenged tracking a new epidemic across its 54 countries.
T32 2785-3166 Sentence denotes The aim of the current study was to explore the effect of sustained transmission from the four Chinese cities of Wuhan, Beijing, Shanghai and Guangzhou on international disease importation risk to 168 countries and territories, with a specific focus on Africa where current levels of healthcare infrastructure could provide a significant challenge for managing this novel epidemic.

MyTest

Id Subject Object Predicate Lexical cue
32100667-31995857-28542271 196-197 31995857 denotes 1