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PMC:7210464 / 16696-17536 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T57 216-226 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T75 8-17 http://purl.obolibrary.org/obo/BFO_0000030 denotes objective
T76 134-139 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T77 724-729 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T108 0-227 Sentence denotes Another objective of this paper is to quantify the effect of various socioeconomic factors in mediating the transmission rates of the virus, which may identify potential behavioral and socioeconomic risk factors for infections.
T109 228-513 Sentence denotes For within-city transmissions, we consider the effects of local public health measures (see Section 5 for details) and the mediating effects of population density, level of economic development, number of doctors, and environmental factors such as temperature, wind, and precipitation.
T110 514-694 Sentence denotes For between-city transmissions, apart from proximity measures based on geographic distance, we also consider similarity in population density and the level of economic development.
T111 695-800 Sentence denotes To measure the spread of the virus from Wuhan, we also include the number of people traveling from Wuhan.
T112 801-840 Sentence denotes The full empirical model is as follows:

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
152 772-778 Species denotes people Tax:9606
153 216-226 Disease denotes infections MESH:D007239