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PMC:7210464 / 5602-6477 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T29 93-101 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T30 331-339 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T31 673-683 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T26 359-360 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T27 456-461 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T28 869-874 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T36 0-111 Sentence denotes Meanwhile, we estimate the mediating effects of socioeconomic factors on the transmission of COVID-19 in China.
T37 112-271 Sentence denotes These factors include population flow out of Wuhan, the distance between cities, GDP per capita, the number of doctors, and contemporaneous weather conditions.
T38 272-567 Sentence denotes We examine whether population flows from the origin of the COVID-19 outbreak, which is a major city and an important transportation hub in central China, can explain the spread of the virus using data on real-time travel intensity between cities that have recently become available for research.
T39 568-790 Sentence denotes Realizing the urgency of forestalling widespread community transmissions in areas that had not seen many infections, in late January, many Chinese cities implemented public health measures that encourage social distancing.
T40 791-875 Sentence denotes We also examine the impacts of these measures on curtailing the spread of the virus.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
75 93-101 Disease denotes COVID-19 MESH:C000657245
76 331-339 Disease denotes COVID-19 MESH:C000657245
77 673-683 Disease denotes infections MESH:D007239