PMC:7058650 / 5922-6938 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"62","span":{"begin":945,"end":954},"obj":"Species"},{"id":"63","span":{"begin":266,"end":274},"obj":"Disease"}],"attributes":[{"id":"A62","pred":"tao:has_database_id","subj":"62","obj":"Tax:2697049"},{"id":"A63","pred":"tao:has_database_id","subj":"63","obj":"MESH:D007239"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Data\nWe 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]. FLIRT was designed to predict the flow and likely destination of infected travellers through the air travel network. 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). Flight connection data and passenger numbers are based on the data collected since October 2014 [12]. 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: Wuhan, Beijing, Shanghai and Guangzhou. The simulation can process up to 20 000 passengers' information for a particular time frame from any city (including surrounding airports). We collected the reported 2019-nCoV case data from the WHO's daily situation update website [14]."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T35","span":{"begin":326,"end":327},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T36","span":{"begin":434,"end":435},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T37","span":{"begin":847,"end":848},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Data\nWe 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]. FLIRT was designed to predict the flow and likely destination of infected travellers through the air travel network. 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). Flight connection data and passenger numbers are based on the data collected since October 2014 [12]. 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: Wuhan, Beijing, Shanghai and Guangzhou. The simulation can process up to 20 000 passengers' information for a particular time frame from any city (including surrounding airports). We collected the reported 2019-nCoV case data from the WHO's daily situation update website [14]."}

{"project":"LitCovid-PD-GO-BP","denotations":[{"id":"T5","span":{"begin":27,"end":33},"obj":"http://purl.obolibrary.org/obo/GO_0060361"},{"id":"T6","span":{"begin":340,"end":346},"obj":"http://purl.obolibrary.org/obo/GO_0060361"},{"id":"T7","span":{"begin":400,"end":406},"obj":"http://purl.obolibrary.org/obo/GO_0060361"},{"id":"T8","span":{"begin":500,"end":506},"obj":"http://purl.obolibrary.org/obo/GO_0060361"}],"text":"Data\nWe 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]. FLIRT was designed to predict the flow and likely destination of infected travellers through the air travel network. 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). Flight connection data and passenger numbers are based on the data collected since October 2014 [12]. 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: Wuhan, Beijing, Shanghai and Guangzhou. The simulation can process up to 20 000 passengers' information for a particular time frame from any city (including surrounding airports). We collected the reported 2019-nCoV case data from the WHO's daily situation update website [14]."}

{"project":"LitCovid-sentences","denotations":[{"id":"T34","span":{"begin":0,"end":4},"obj":"Sentence"},{"id":"T35","span":{"begin":5,"end":200},"obj":"Sentence"},{"id":"T36","span":{"begin":201,"end":317},"obj":"Sentence"},{"id":"T37","span":{"begin":318,"end":499},"obj":"Sentence"},{"id":"T38","span":{"begin":500,"end":601},"obj":"Sentence"},{"id":"T39","span":{"begin":602,"end":738},"obj":"Sentence"},{"id":"T40","span":{"begin":739,"end":778},"obj":"Sentence"},{"id":"T41","span":{"begin":779,"end":918},"obj":"Sentence"},{"id":"T42","span":{"begin":919,"end":1016},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Data\nWe 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]. FLIRT was designed to predict the flow and likely destination of infected travellers through the air travel network. 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). Flight connection data and passenger numbers are based on the data collected since October 2014 [12]. 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: Wuhan, Beijing, Shanghai and Guangzhou. The simulation can process up to 20 000 passengers' information for a particular time frame from any city (including surrounding airports). We collected the reported 2019-nCoV case data from the WHO's daily situation update website [14]."}