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PMC:7058650 / 5922-6938 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
62 945-954 Species denotes 2019-nCoV Tax:2697049
63 266-274 Disease denotes infected MESH:D007239

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T35 326-327 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 434-435 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 847-848 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T5 27-33 http://purl.obolibrary.org/obo/GO_0060361 denotes flight
T6 340-346 http://purl.obolibrary.org/obo/GO_0060361 denotes flight
T7 400-406 http://purl.obolibrary.org/obo/GO_0060361 denotes flight
T8 500-506 http://purl.obolibrary.org/obo/GO_0060361 denotes Flight

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T34 0-4 Sentence denotes Data
T35 5-200 Sentence denotes We extracted modelled flight data for the final destination of passengers travelling from four Chinese cities (including domestic and international destinations) from the FLIRT database [12, 13].
T36 201-317 Sentence denotes FLIRT was designed to predict the flow and likely destination of infected travellers through the air travel network.
T37 318-499 Sentence denotes It uses a database of flight schedules from over 800 airlines and displays direct flight connections in addition to a modelled end destination (three-letter IATA code for airports).
T38 500-601 Sentence denotes Flight connection data and passenger numbers are based on the data collected since October 2014 [12].
T39 602-738 Sentence denotes We extracted the simulated passenger's data for each week for the period of 1 January to 31 January 2020 from four major Chinese cities:
T40 739-778 Sentence denotes Wuhan, Beijing, Shanghai and Guangzhou.
T41 779-918 Sentence denotes The simulation can process up to 20 000 passengers' information for a particular time frame from any city (including surrounding airports).
T42 919-1016 Sentence denotes We collected the reported 2019-nCoV case data from the WHO's daily situation update website [14].